CN112295078A - Sleep-aiding control method and intelligent mattress circuit - Google Patents
Sleep-aiding control method and intelligent mattress circuit Download PDFInfo
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Abstract
The embodiment of the invention discloses a sleep-aiding control method and an intelligent mattress circuit, wherein the sleep-aiding control method is applied to an intelligent mattress, the intelligent mattress comprises a sleep monitoring unit, the sleep-aiding control method comprises the steps of acquiring physiological data of a human body collected by the sleep monitoring unit, and the physiological data comprises heartbeat data and breathing data; determining the sleep state of the human body based on the heartbeat data and the respiration data, wherein the sleep state comprises an out-of-bed state, an in-sleep state, a deep sleep state and an out-of-bed state; based on the sleep state, the working state of the intelligent mattress is adjusted to help the human body to fall asleep. Through the mode, the intelligent mattress can be automatically adjusted in real time according to the sleep data of the user, so that the user can be helped to fall asleep, and the user experience is better.
Description
Technical Field
The invention relates to the technical field of intelligent home furnishing, in particular to a sleep-assisting control method and an intelligent mattress circuit.
Background
In recent years, the global healthy sleep market is rapidly expanded, the sleep problem caused by the urbanization process is gradually highlighted, people pay more and more attention to healthy sleep, the sleep habit of Chinese people is changed along with the market, and the intelligent mattress can better help people to solve the healthy sleep problem, so the demand of the intelligent mattress is further expanded in the coming years.
However, the degree of intelligence of the conventional intelligent mattress is not high, and the use requirements of users are difficult to meet.
Disclosure of Invention
The embodiment of the invention aims to provide a sleep-aiding control method and an intelligent mattress circuit, which can automatically adjust an intelligent mattress in real time according to sleep data of a user so as to help the user fall asleep and have better user experience.
In order to achieve the above object, a first aspect of the present invention provides a sleep-aid control method, which is applied to an intelligent mattress, the intelligent mattress including a sleep monitoring unit, the sleep-aid control method including:
acquiring physiological data of a human body collected by the sleep monitoring unit, wherein the physiological data comprises heartbeat data and respiration data;
determining a sleep state of the human body based on the heartbeat data and the respiration data, wherein the sleep state comprises an out-of-bed state, an in-sleep state, a deep sleep state and an out-of-bed state;
based on the sleep state, the working state of the intelligent mattress is adjusted to help the human body to sleep.
In an alternative mode, the determining the sleep state of the human body based on the heartbeat data and the respiration data includes:
acquiring each wave trough in a waveform corresponding to the sleep data;
calculating the time length between two adjacent wave troughs in real time, wherein the time length is the breath duration;
calculating the difference between the minimum value and the maximum value in the waveform corresponding to the sleep data in the breath duration in real time, wherein the difference is a breath amplitude;
acquiring each peak in a waveform corresponding to the sleep data;
calculating the speed from the previous peak to the next peak based on the time length and the distance between the two adjacent peaks, and recording the next peak as a heartbeat if the value corresponding to the previous peak is greater than the value corresponding to the next peak and the speed is greater than a preset speed;
determining a heart rate based on the total number of heartbeats within a preset duration;
determining a sleep state of the user based on the breath duration, the breath amplitude, and the heart rate.
In an alternative form, the determining the sleep state of the user based on the breath length, the breath amplitude, and the heart rate includes:
and if the breathing amplitude is smaller than a preset amplitude, the breathing time is in a preset breathing time period, and the falling amplitude of the heart rate is in a preset falling amplitude interval, determining that the sleep state of the user is in a sleep state.
In an optional mode, the intelligent mattress further comprises a massage unit, an audio unit and a light unit;
the adjusting the working state of the intelligent mattress based on the sleep state comprises:
if the sleeping state of the user is the state of getting out of bed and not sleeping, controlling the intelligent mattress to start an intelligent sleeping mode;
wherein the turning on the smart sleep mode includes:
controlling a vibration motor of the massage unit to continuously vibrate at a first preset frequency for a first preset time, and then intermittently vibrating at a second preset frequency, wherein the second preset frequency is smaller than the first preset frequency;
controlling the audio unit to play the light music at a first preset volume;
and controlling the light unit to emit soft light.
In an optional manner, the adjusting the working state of the smart mattress based on the sleep state includes:
if the sleeping state of the user is in a sleeping state, controlling the intelligent mattress to adjust an intelligent sleeping mode;
wherein the adjusting of smart sleep comprises:
controlling the vibration motor to keep intermittent vibration at a third preset frequency, wherein the third preset frequency is smaller than the second preset frequency;
controlling the audio unit to play the light music at a second preset volume, wherein the second preset volume is smaller than the first preset volume;
and controlling the light of the light unit to be turned off.
In an optional manner, the smart mattress further comprises a lifting unit;
the adjusting the working state of the intelligent mattress based on the sleep state comprises:
if the sleep state of the user is a deep sleep state, controlling the intelligent mattress to close the intelligent sleep
A sleep mode;
wherein the turning off the smart sleep mode includes:
controlling the massage unit to be closed;
controlling the audio unit to be closed;
and controlling the lifting unit to adjust the working state so as to adjust the intelligent mattress to be in a horizontal state.
In an alternative mode, the intelligent mattress further comprises a heating unit;
the sleep-aid control method further comprises the following steps:
acquiring a preset temperature set by a user;
acquiring the current temperature of the sleep environment;
if the current temperature is lower than the preset temperature, controlling a heating sheet in the heating unit to be electrified;
and if the temperature is higher than or equal to the preset temperature, controlling the heating sheet in the heating unit to lose power. A
In a second aspect, an embodiment of the present invention further provides an intelligent mattress circuit, where the intelligent mattress circuit includes:
the sleep monitoring unit is used for acquiring physiological data of a human body;
a control processing unit for processing the sleep data, the control processing unit comprising:
at least one processor and a memory communicatively coupled to the at least one processor, the memory storing instructions executable by the at least one processor to enable the at least one processor to perform a method as described above.
In an optional mode, the intelligent mattress circuit further comprises a massage unit, an audio unit, a light unit, a lifting unit and a heating unit, and the control processing unit is respectively connected with the massage unit, the audio unit, the light unit, the lifting unit and the heating unit;
the control processing unit is used for outputting corresponding control signals to control the working states of the massage unit, the audio unit, the light unit, the lifting unit and the heating unit.
In a third aspect, embodiments of the present invention also provide a non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by a smart mattress, cause the smart mattress to perform the method as described above.
The embodiment of the invention has the beneficial effects that: the method comprises the steps of firstly obtaining physiological data collected by the sleep monitoring unit, wherein the physiological data comprises heartbeat data and respiration data, then judging the sleep state of a user according to the heartbeat data and the respiration data, and then adjusting the working state of the intelligent mattress according to the sleep state of the user, namely adjusting the intelligent mattress in real time according to the sleep data of the user to help the user fall asleep, so that the sleep quality of the user is improved, and the user experience is better.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present invention;
fig. 2 is a schematic diagram of a hardware structure of an intelligent mattress provided by the embodiment of the invention;
fig. 3 is a schematic circuit diagram of an analog detection circuit according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an intelligent mattress provided by the embodiment of the invention;
FIG. 5 is a schematic circuit diagram of a heater driving circuit according to an embodiment of the present invention;
fig. 6 is a schematic circuit structure diagram of a snore preprocessing unit according to an embodiment of the present invention;
fig. 7 is a schematic circuit structure diagram of a lift motor control circuit according to an embodiment of the present invention;
FIG. 8 is a flowchart illustrating a sleep-aid control method according to an embodiment of the present invention;
fig. 9 is a flowchart illustrating a method for determining a sleep state according to an embodiment of the present invention;
FIG. 10 is a diagram illustrating sleep data provided in accordance with an embodiment of the present invention;
FIG. 11 is a schematic diagram of sleep data according to another embodiment of the present invention;
fig. 12a is a schematic flowchart of a control method when the sleep state is an out-of-bed state according to an embodiment of the present invention;
fig. 12b is a schematic flowchart of a control method when the sleep state is the sleep state according to another embodiment of the present invention;
fig. 12c is a flowchart illustrating a control method when the sleep state is a deep sleep state according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the application provides a sleep-assisting control method, which can automatically adjust an intelligent mattress in real time according to sleep data of a user, and can effectively help the user to quickly enter a sleep state in the process from the beginning of getting out of bed to entering the sleep state compared with the prior art.
To facilitate understanding of the present application, an application scenario to which the present application may be applied is first described, please refer to fig. 1, where fig. 1 is a schematic view of an application scenario in which an exemplary user sleeps on a smart mattress 100, where a sleep monitoring unit 10 for acquiring physiological data of the user is disposed on the smart mattress 100, and the sleep monitoring unit 10 may be in any suitable product form, for example, the sleep monitoring unit 10 may be a belt-shaped structure with a monitoring function. In the concrete implementation, lay sleep monitor cell 10 in intelligent mattress 100 below or top and correspond user's thorax position to can cover user's whole heart region is the best, when the user was asleep, sleep monitor cell 10 detectable user is because the micromotion voltage signal that breathing and heart pump blood produced, extract physiological data in this micromotion voltage signal, then can adjust intelligent mattress 100's physical state according to the physiological data who extracts, intelligent mattress 100's physical state includes heating state, vibrations state, elevating system etc.. Meanwhile, after the physiological data is extracted, the sleep monitoring unit 10 can also feed the physiological data back to the user, for example, the physiological data can be uploaded to the cloud through the WiFi module, and the user can check the physiological data of the user during sleep by using the APP on the mobile phone.
In other embodiments, the sleep monitoring unit 10 may also exist in other product forms, such as the sleep monitoring unit 10 being a mat disposed on the smart mattress 100. Of course, the sleep monitor unit 10 may not be attached to a belt-like structure or mat, but may be integrally formed with the smart mattress 100.
As shown in fig. 2, the intelligent mattress 100 includes a sleep monitoring unit 10, a control processing unit 20, a massage unit 30, a microphone 40, a snoring pretreatment unit 50, an audio unit 60, a light unit 70, a heating unit 80, and a lifting unit 90, wherein the sleep monitoring unit 10, the massage unit 30, the snoring pretreatment unit 50, the temperature and humidity acquisition unit 60, the infrared detection unit 70, the heating unit 80, and the lifting unit 90 are all connected to the control processing unit 20.
The control Processing Unit 20 may be a Micro Control Unit (MCU) or a Digital Signal Processing (DSP) controller.
The control processing unit 20 includes at least one processor 21 and a memory 22, where the memory 22 may be built in the control processing unit 20 or external to the control processing unit 20, and the memory 22 may be a remotely located memory and connected to the control processing unit 20 through a network.
The processor 21 executes various functions of the terminal and processes data by running or executing software programs and/or modules stored in the memory 22 and calling data stored in the memory 22, thereby performing overall monitoring of the terminal, for example, implementing a sleep-aid control method according to any embodiment of the present invention.
The processor 21 may be one or more, and one processor 21 is taken as an example in fig. 2. The processor 21 and the memory 22 may be connected by a bus or other means. The processor 21 may include a Central Processing Unit (CPU), Digital Signal Processor (DSP), Application Specific Integrated Circuit (ASIC), controller, Field Programmable Gate Array (FPGA) device, or the like. The processor 21 may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The sleep monitoring unit 10 may include a micro-motion signal sensor that can be used to detect a micro-motion signal generated by a human body and obtain a micro-motion piezoelectric signal. The micro-motion signal sensor can be a piezoelectric sensor (such as a piezoelectric film sensor), an acceleration sensor and the like which can collect impact micro-motion signals generated to a body when the heart beats, and then physiological data of the human body can be extracted according to the collected micro-motion piezoelectric signals.
In another embodiment, the sleep monitor unit 10 may further include an analog detection circuit, and the analog detection circuit is used to further process the micro-motion piezoelectric signal to reduce the amount of operation of the control processing unit 20 and improve the efficiency of data processing. The analog detection circuit including a high-pass filter circuit and a low-pass filter circuit is taken as an example for explanation.
As shown in fig. 3, the high-pass filter circuit 121 includes a first operational amplifier U1, a first bias resistor R1, and a second bias resistor R2, wherein the first bias resistor R1 is connected in series with the second bias resistor R2, a connection point 1 between the first bias resistor R1 and the second bias resistor R2 is electrically connected to a common-direction input terminal of the first operational amplifier U1, and an inverting input terminal of the first operational amplifier U1 is electrically connected to a signal output terminal of the inching signal.
The operational amplifier U1 can be an OPA317 type operational amplifier, which uses a zero-drift series amplifier of proprietary auto-calibration technology, and has a very low offset voltage (90 μ V max) and almost zero drift over the entire time and temperature range, while the quiescent current is only 35 μ a (max). The signal output end of the micro-motion piezoelectric signal is electrically connected to the reverse input end of the first operational amplifier U1 through an interface JP1, the input voltage of the reverse input end of the first operational amplifier U1 is divided by a first resistor R1, a first capacitor C1 filters the divided voltage of the first resistor R1, so that the output signal of the first operational amplifier U1 is more accurate, and a feedback circuit is formed by the second capacitor C2 and a third resistor R3, so that the first operational amplifier U1 has the functions of amplification, turnover and the like, and the high-pass filtering process can be realized.
The low pass filter circuit 122 includes a second operational amplifier U2, the non-inverting input terminal of the second operational amplifier U2 is electrically connected to the output terminal of the first operational amplifier U2, and the output terminal of the second operational amplifier U2 is electrically connected to the control processing unit 20.
The second operational amplifier U2 also needs to be provided with a third capacitor C3 and a fourth resistor R4 for performing a feedback function, so that a low-pass filtering process can be realized, a Signal output by the output terminal of the second operational amplifier U2 is filtered by the fourth capacitor C4, that is, the Signal1, and the Signal1 is electrically connected to the control processing unit 20 through a wire, so as to be further processed by the control processing unit 20.
The heating unit 20 may adjust the sleep temperature of the smart mattress 100 based on the heating control signal of the control processing unit 20. In one embodiment, referring to fig. 4, the intelligent mattress 100 includes a mattress body 100a and a functional frame 100b disposed inside the mattress, and the heating unit 30 includes two heating plates 30a and two heating plates 30b, wherein the heating plate 30a is disposed at the foot end of the mattress body 100a for controlling the temperature of the foot and the leg of the human body, and the heating plate 30b is disposed at the head end of the mattress body 100a for controlling the temperature of the position near the head of the human body.
It is understood that the mattress body 100a and the functional frame 100b may be formed as a single body or may be formed as two different bodies.
Specifically, in one embodiment, the heating sheets 30a and 30b may be controlled by voice operation of a user, for example, in winter, the ambient temperature is low, which results in cold feet and difficulty in falling asleep, at this time, "turn on the heating sheet device at the end of the bed" is emitted by voice, then the voice recognition unit may be disposed in the smart mattress 100 to recognize the voice signal, and finally transmit the result to the control processing unit 20, the control processing unit 20 outputs the heating control signal as "start heating" to power the heating sheets 30a, so that the temperature of the heating sheets 30a is raised, thereby the ambient temperature is also raised, the position of the feet of the user can be warmed, and the user experience is better.
Of course, in another embodiment, the intelligent mattress 100 may automatically control the heating sheets 30a and 30b according to the temperature of the environment, at this time, a detection device of the environment temperature, such as a temperature sensor, may be disposed on the intelligent mattress 100, after the control processing unit 20 receives the data related to the environment temperature, it may make a judgment according to the related data, and output a corresponding heating control signal, for example, if the detected environment temperature is lower than a preset temperature threshold, which may be set according to the specific situation of each person, the control processing unit 20 outputs the heating control signal as "start heating", so as to control the heating sheets 30a and 30b to be powered on, until the temperature reaches the vicinity of the temperature threshold, and output the heating control signal as "stop heating", so as to prevent the environment temperature from being overheated and causing harm to the human body, meanwhile, the electric energy can be saved.
It should be understood that the heating unit 30 may include at least one heating sheet, and the data of the heating sheet may be set according to the user's needs. Meanwhile, a corresponding heating plate driving circuit may be provided for each heating plate, or a unified heating plate driving circuit may be used to control all the heating plates, which is not limited herein.
As shown in fig. 5, a circuit composed of two switching tubes is used as an exemplary heating plate driving circuit. The heating plate driving circuit comprises a transistor Q1 and a MOS tube Q2, and in the heating plate driving circuit, the transistor Q1 is adopted to drive the conduction of a MOS tube Q2 so as to control the heating plate to generate heat.
Specifically, the base of the transistor Q1 is connected to the control processing unit 20, when the output heating control signal of the control processing unit 20 is "start heating", at this time, the control processing unit 20 outputs a high level signal to the transistor Q1 through the connection L1 to turn on the transistor Q1, the working power supply V1 is grounded through the resistor R11, the resistor R12, and the collector and the emitter of the transistor Q1, the working power supply V1 is divided into voltage through the resistor R11 and the resistor R12 connected in series, the gate of the MOS transistor Q2 is connected between the resistor R11 and the resistor R12, and the source of the MOS transistor Q2 is connected to the working power supply V1, so that the voltage difference exists between the gate and the source of the MOS transistor Q2 to turn on the MOS transistor Q2, the working power supply V1 is connected to the pin No. 1 of the interface CN1 through the gate and the drain of the MOS transistor Q2, and the pin No. 2 of the interface CN1 is grounded through the resistor R13, therefore, if the interface CN1 is connected to the, the control processing unit 20 can implement control of the heating sheet to adjust the sleep temperature of the smart mattress 100.
Further, a diode D1 and a capacitor C8 connected in parallel with the diode D1 may be disposed between the pin No. 1 and the pin No. 2 of the interface CN1, the capacitor C8 is a bypass capacitor, wherein an anode of the diode D1 is connected to the pin No. 2 of the interface CN1, a cathode of the diode D1 is connected to a drain of the MOS transistor Q2, and since a heating device in a commonly used heating plate is a heating wire and the heating wire is an inductive load, the diode D1 and the capacitor C8 are required to be disposed in order to prevent a reverse current of the inductive load from damaging the load. Meanwhile, the pin 1 of the interface CN1 is connected to the feedback signal input pin of the control processing unit 20 through the connection line L2 after passing through the current limiting resistor R14, so that the control processing unit 20 detects the current of the heating sheet in real time, and can rapidly take processing measures when the heating sheet is abnormal, and the capacitor C9 arranged between the connection line L2 and the ground can filter out high-frequency interference signals in the current signals, so as to ensure the stability of the current detection process.
The massage unit 80 may adjust the vibration state of the smart mattress 100 based on the massage control signal of the control processing unit 20.
In an embodiment, please refer to fig. 4 again, the massage unit 80 includes two vibration motors 80a, the vibration motors 80a are disposed on the functional frame 100b of the intelligent mattress 100, and when the vibration motors 80a vibrate based on the massage control signal of the control processing unit 20, the mattress body 100a of the intelligent mattress 100 is also driven to vibrate, so that if a user lies on the intelligent mattress 100, the vibration of the intelligent mattress 100 can achieve the effect of massaging the user, so as to relax the body and mind of the user. Further, the user can adjust the vibration frequency of the vibration motor 80a according to his own needs, so that the massage effect is better.
Also, the massage unit 80 may be controlled by a user through voice, which is similar to the control process of the heating sheet, within the scope easily understood by those skilled in the art, and will not be described herein; or may be set to be automatically controlled, for example, in one embodiment, when the user just lies on the smart mattress 100, the massage unit 80 may be automatically put into an operating state, and the vibration frequency of the vibration motor 80a at this time is controlled to be a low frequency, so as to relieve fatigue of the user.
It is understood that there may be only one or more vibration motors 80 a. Meanwhile, each vibration motor 80a may be provided with a vibration motor driving circuit alone, or may be provided with only one vibration motor driving circuit to control a plurality of vibration motors 80a at the same time.
In another embodiment, the circuit diagram shown in fig. 5 is exemplarily used as a shock motor driving circuit, and at this time, a transistor is still used to drive a MOS transistor to be conducted to control the shock motor. Diode D1 and electric capacity C8 can prevent that the motor from burning out when the motor stalling is too big reverse current, and resistance R13 is as detection resistance, and the accessible detects the voltage at resistance R13 both ends in order to detect the electric current that flows through resistance R13, is the electric current of shock motor, and resistance R14 is the current-limiting resistor, prevents that the control processing unit 20 is damaged to too big electric current, and electric capacity C9 is filter capacitor, can guarantee the stability of current detection. The specific work flow of the vibration motor driving circuit is similar to that of the heating plate driving circuit, which is within the scope easily understood by those skilled in the art, and is not described herein again.
The snore preprocessing unit 50 is configured to process the sound signal collected by the microphone 40, and the control processing unit 20 is configured to obtain the snore signal based on the processed sound signal.
Wherein the microphone 40 is a single microphone designed with a digital MIC, which may be of the type SPU0414HR 5H-SB. The microphone 40 is configured to collect a snore signal of a user during sleep, transmit the collected snore signal to the snore preprocessing unit 50, the snore preprocessing unit 50 performs corresponding processing on the snore signal, transmit the processed snore signal to the control processing unit 20, and perform processing and analysis by the control processing unit 20 to control the intelligent mattress 100 to implement a snore stopping operation, for example, in an embodiment, when there is a snore signal, the microphone 40 collects the snore signal, and the snore signal is processed by the snore preprocessing unit 50 and then is finally transmitted to the control processing unit 20, and the control processing unit 20 may control a head inclination angle of the intelligent mattress 100 to be raised by a certain angle, thereby implementing a snore stopping function.
Illustratively, the snore pre-processing unit 50 is exemplified by an audio processing chip of the type NAU8501, which is a low-power, high-quality audio input chip suitable for portable applications, and has an accurate stereo ADC and a low-noise stereo differential high-gain microphone input.
As shown in fig. 6, the snore pre-processing unit 50 includes an audio processing chip U4, and in some embodiments, the snore pre-processing unit 50 further includes a capacitor C22 and a capacitor C9, and the capacitor C22 and the capacitor C9 form a first filtering circuit for filtering the collected sound signals. In some embodiments, the snore pre-processing unit 50 further includes a capacitor C10 and a capacitor C11 as isolation capacitors to achieve isolation. In some embodiments, the snore preprocessing unit 50 further includes a third inductor L3 and a fourth inductor L4, where the third inductor L3 and the fourth inductor L4 are used as an isolation circuit for isolating an ac ground and a dc ground, one end of a capacitor C22 is connected to one end of the second interface CN2, one end of a capacitor C9, and one end of a capacitor C10, the other end of the capacitor C22 is connected to the ac ground through the third inductor L3, the other end of the capacitor C9 is connected to one end of the second interface CN2 and one end of the capacitor C11, the other end of the capacitor C10 is connected to a pin 1 of the audio processing chip U4 and is also used as an input terminal of a sound signal, and the other end of the capacitor C11 is connected to a pin 2 of the audio processing chip U3 and is also used as an input terminal of the sound.
In some embodiments, the snore preprocessing unit 50 further includes a capacitor C12, a capacitor C13, and a resistor R17, one end of the capacitor C12 is connected to the ac ground through a third inductor L3, the other end of the capacitor C17 is connected to one end of the audio processing chip U4 and 32 pins, the other end of the resistor R17 is connected to one end of the capacitor C22, one end of the capacitor C9, and one end of the capacitor C10, one end of the capacitor C13 is connected to the ac ground through a third inductor L3, and the other end of the capacitor C13 is connected to 32 pins of the audio processing chip U4. The sound signal enters 32 pins of the audio processing chip U4 after being filtered by the capacitor C12, the capacitor C13 and the resistor R17 to serve as an extraction signal, the 32 pins of the audio processing chip U4 provide programmable low-noise power supply bias for the sound signal, and the extraction signal serves as a reference signal to prevent the sound signal collected by the 1 pin from being distorted due to too large or too small signal.
In some embodiments, the snore pre-processing unit 50 further includes a capacitor C14, a capacitor C15, a capacitor C16, a capacitor C17, a capacitor C18 and a capacitor C19, the capacitor C14 and the capacitor C15 are connected in parallel to pins 31 and 28 of the audio processing chip U4, one end of the capacitor C15 connected to the pin 31 of the audio processing chip U4 is further connected to a +3.3V voltage through a fourth inductor L4, +3.3V is a dc ground voltage, and one end of the capacitor C15 connected to the pin 28 of the audio processing chip U3 is connected to an ac ground through a third inductor L3.
The capacitor C16 and the capacitor C17 are connected in parallel to the 26 pin and the 24 pin of the audio processing chip U4, one end of the capacitor C16, which is connected with the 26 pin of the audio processing chip U4, is also connected with a voltage of +3.3V through the fourth inductor L4, and one end of the capacitor C16, which is connected with the 24 pin of the audio processing chip U4, is connected with an alternating current ground through the third inductor L3. The capacitor C18 and the capacitor C19 are connected in parallel to pins 12 and 13 of the audio processing chip U4, pins 13 and 14 of the audio processing chip U4 are connected, one end of the capacitor C18, which is connected with the pin 12 of the second audio processing chip U4, is also connected with the ground through a fourth inductor L4, and one end of the capacitor C18, which is connected with the pin 13 of the audio processing chip U4, is connected with +3.3V voltage.
The capacitor C14, the capacitor C15, the capacitor C16, the capacitor C17, the capacitor C18 and the capacitor C19 are all power filter circuits, so that the stability of a power supply of the audio processing chip U4 is guaranteed, and the influence of ripple interference on sound signal collection is prevented.
In some embodiments, the snore pre-processing unit 50 further includes a capacitor C20 and a capacitor C21, the capacitor C20 and the capacitor C21 are connected in parallel to the 27 pin and the 24 pin of the audio processing chip U4, and one end of the capacitor C20 connected to the 24 pin of the audio processing chip U4 is further connected to ac ground through a third inductor L3. The capacitor C20 and the capacitor C21 are filter capacitors of internal reference voltage of the audio processing chip U4, and filtering effect is achieved.
In summary, the snore pre-processing unit 50 transmits the processed sound signal to the control processing unit 20 through the I2S through the processing of the audio processing chip U4 and the peripheral circuit, and the sound signal is received and analyzed by the control processing unit 20.
The control processing unit 20 can also output a snore stopping control signal based on the snore information, and the lifting unit 90 can adjust the working state based on the snore stopping control signal so as to adjust the head inclination angle of the intelligent mattress 100.
The control processing unit 20 identifies the sound signal processed by the snore preprocessing unit 50 to obtain a snore signal, and then analyzes that the user snores, and the control processing unit 20 can control the working state of the lifting unit 90 according to the snore signal to adjust the head inclination angle of the intelligent mattress 100, so as to realize the snore stopping function for the user.
Optionally, the lifting unit 90 includes a lifting motor and a lifting motor control circuit, the lifting motor control circuit is connected to the control processing unit 20 and the lifting motor, and the control processing unit 20 controls the working state of the lifting motor through controlling the lifting motor control circuit, so as to adjust the head inclination angle of the intelligent mattress 100.
Referring to fig. 7, fig. 7 is a schematic diagram of an exemplary circuit structure of the lift Motor control circuit, as shown in fig. 7, the lift Motor control circuit includes a Motor driver chip U5, a current detection circuit, and a lift Motor, pins 2 and 3 of the Motor driver chip U5 are electrically connected to the control processing unit 20, and the control processing unit 20 outputs a control signal to act on pins 2 and 3 of the Motor driver chip U5, so that the Motor driver chip U5 operates to drive the lift Motor, where the control signal may be a PWM signal. The 8 pins and the 6 pins of the Motor driving chip U5 work with the elevator Motor respectively to form a Motor working circuit, so that the elevator Motor works normally, meanwhile, the current detection circuit comprises a resistor R20, the resistor R20 is connected in series with the Motor working circuit and is also electrically connected with the control processing unit 20, and is used for sampling the loop current of the Motor working circuit, the loop current generates a voltage drop on the resistor R20, the voltage drop signal Motor _ AD2 is transmitted to the control processing unit 20, and the control processing unit 20 can identify the working state of the elevator Motor and whether the elevator Motor is abnormal or not according to the voltage drop signal Motor _ AD 2. Therefore, when the head inclination angle of the intelligent mattress 100 needs to be adjusted, the control processing unit 20 can control the Motor driving chip U5 through the control signal, and then control the operation of the lifting Motor to realize the adjustment of the corresponding angle.
The smart mattress 100 may be any type and shape of mattress. For example, in one embodiment, referring again to fig. 4, if the smart mattress 100 includes a mattress body 100a and a functional frame 100b disposed inside the mattress, the functional frame 100b may be divided into a plurality of sections, the functional rack 100B includes a first section a, a second section B, a third section C and a fourth section D, wherein, the intelligent mattress 10 is in a flat state, and when a user lies on the intelligent mattress 10, the first section A is positioned at the head position of the user, the second section B and the third section C are positioned at the middle position of the user, the fourth section D is positioned at the step position of the user, in addition, the first section A, the second section B, the third section C and the fourth section D are all provided with motors, the functional frame 100b can be moved up and down or rotated in angle by controlling the corresponding motor, so as to drive the intelligent mattress 100 to move up and down or rotate by an angle, and the type and the number of the motors are not limited. For example: first section A and fourth section D department set up elevator motor, second section B sets up shock dynamo with third section C, can adjust intelligent mattress 10 head inclination through the control to first section A's elevator motor, can adjust intelligent mattress 10 foot inclination through the control to fourth section D's elevator motor, when carrying out the snore relieving operation, can only make first section A's elevator motor work, fourth section D's elevator motor is out of work, then the foot keeps the leveling state, the head carries out the slope that corresponds, when needs massage the user, can make second section B and third section C's shock dynamo work, carry out corresponding massage to user's waist. It should be noted that the first section a and the fourth section D may further include a vibration motor, which can massage the head and the feet of the user, and the first section a, the second section B, the third section C, and the fourth section D may further include other types of motors, such as motors for adjusting the angle, that is, the number and the type of the motors are not limited, and may be set as required.
It should be understood that when the smart mattress 100 includes the mattress body 100a and the functional frame 100b disposed inside the mattress, the function can be divided into multiple segments only, and in other embodiments, if the smart mattress 100 is integrally formed, the smart mattress 100 can be directly divided into multiple segments, and the arrangement can be made accordingly based on actual conditions.
Further, in an embodiment, first, the current head inclination angle of the intelligent mattress 100 is acquired through the control processing unit 20, and the working state of the intelligent mattress 100 can be determined according to the current head inclination angle, where the working state of the intelligent mattress 100 includes a snore stopping state, and the snore stopping state is used to indicate that the intelligent mattress 100 has completed the first snore stopping operation.
That is, when the user sleeps on the intelligent mattress 100, snore is generated, the control processing unit 20 can control the intelligent mattress 100 to perform the first snore stopping operation, and the working state of the lifting unit 16 is controlled to adjust the head inclination angle of the intelligent mattress 100 to stop snore, so that the head inclination angle of the intelligent mattress 100 is increased to achieve the purpose of stopping snore. After the first snore stopping operation is completed, the intelligent mattress 100 cannot be a flat mattress, and the head of the intelligent mattress is inclined at a certain angle.
Therefore, when the control processing unit 20 outputs the control signal to adjust the head inclination angle of the intelligent mattress 100, the head inclination angle is recorded in real time, and then the working state of the intelligent mattress 100 is determined according to the recorded inclination angle, where the working state includes a snore stopping state and a non-snore stopping state, specifically, in some embodiments, if the head inclination angle is greater than a first angle, it is determined that the current working state of the intelligent mattress 100 is in the snore stopping state, where the first angle may be zero or another smaller angle, and when the head inclination angle is zero or a smaller angle, it represents that the intelligent mattress 100 is in a flat state or a state close to the flat state. If the head inclination angle is greater than the first angle, it indicates that the intelligent mattress 100 has completed the first snore stopping operation, and the angle of the intelligent mattress 100 has been adjusted. If the inclination angle of the head is smaller than or equal to the first angle, it is determined that the working state of the intelligent mattress 100 is currently in a non-snore-stopping state, and the intelligent mattress 100 is not yet subjected to snore-stopping operation, that is, is not yet subjected to corresponding adjustment.
Secondly, if the intelligent mattress 100 is in the snore stopping state and the snore signal exists, the working state of the lifting unit 90 is controlled according to the snore signal and the preset condition so as to adjust the head inclination angle of the intelligent mattress 100.
Namely, it is determined that the intelligent mattress 100 has completed the first snore stopping operation, it is known that the intelligent mattress is currently in the snore stopping state, and if there is snore, the control processing unit 20 controls the lifting unit 90 to execute the corresponding snore stopping operation again, thereby implementing the snore stopping function.
In summary, the control processing unit 20 can not only realize the snore stopping function by adjusting the head inclination angle of the intelligent mattress 100, but also continue to adjust the head inclination angle of the intelligent mattress 100 again when the first snore stopping operation is completed and the snore signal still exists, so as to further perform the snore stopping operation, and thus the snore stopping effect is better.
In some embodiments, the preset conditions include a first preset duration and a first preset angle, and the control processing unit 20 is specifically configured to: continuously acquiring snore signals, and judging whether the duration of the snore signals exceeds a first preset duration; if the current head inclination angle of the intelligent mattress 100 is smaller than the first preset angle, acquiring the current head inclination angle of the intelligent mattress 100, and judging whether the current head inclination angle of the intelligent mattress 100 is smaller than the first preset angle; if the current head inclination angle is smaller than the first preset angle, the working state of the lifting unit 90 is controlled to adjust the head inclination angle of the intelligent mattress 100 to increase from the current head inclination angle by a second preset angle.
In the snore stopping state, the inclination angle of the head of the intelligent mattress 100 is adjusted, and if the snore signal still exists, the corresponding snore stopping operation is performed in the snore stopping state. Firstly, the duration of the snore signal is judged, if the duration exceeds a first preset duration and the current head inclination angle of the intelligent mattress 100 is smaller than a first preset angle, the snore persists for a long time and is serious, the working state of the lifting unit 90 can be continuously controlled, the head inclination angle of the intelligent mattress 100 is continuously adjusted, and the head inclination angle is increased by a second preset angle from the current head inclination angle, so that the snore signal is continuously stopped. If the duration of the snore signal does not exceed the first preset duration, it represents that the snore signal has a short duration and approaches a snore-free state, the control processing unit 20 ends the snore stopping operation in the current cycle, and starts the judgment and snore stopping operation of the next cycle again. Meanwhile, the head inclination angle of the intelligent mattress 100 has a certain limitation, and if the head inclination angle is too large, the head of the user is too high, and the sleeping posture is not good, so that the head inclination angle of the intelligent mattress 100 cannot exceed a first preset angle, and if the current head inclination angle is greater than or equal to the first preset angle, the control processing unit 20 also ends the snore stopping operation in the current cycle, and starts the next cycle of judgment and snore stopping operation again.
It should be noted that the first preset time period, the first preset angle and the second preset angle may be set according to user needs, and in the embodiment of the present invention, they may be 2min, 25 ° and 5 °, respectively. Namely after finishing the first snore stopping operation, the intelligent mattress 100 is in the snore stopping state, if the snore still exists and the duration of the snore exceeds 2min, whether the head inclination angle of the intelligent mattress 100 is smaller than 25 degrees is judged, if the head inclination angle of the intelligent mattress 100 is smaller than the current head inclination angle, the head inclination angle of the intelligent mattress 100 is adjusted to be increased by 5 degrees from the current head inclination angle, the head of the intelligent mattress 100 is raised by 5 degrees, the snore stopping operation is further carried out, and the snore stopping function is realized.
Therefore, the control processing unit 20 can not only realize the snore stopping function by adjusting the head inclination angle of the intelligent mattress 100, but also continue to adjust the head inclination angle of the intelligent mattress 100 again when the first snore stopping operation is completed and the snore signal still exists, so as to further perform the snore stopping operation, and thus the snore stopping effect is better.
In some embodiments, the control processing unit 20 is further configured to determine whether the duration of the stop of the snore signal exceeds a second preset duration if the intelligent mattress 100 is in the snore stopping state and there is no snore signal; if the head inclination angle exceeds the first angle, the working state of the lifting unit 90 is controlled to adjust the head inclination angle of the intelligent mattress 10 to be reduced to the first angle, and the intelligent mattress enters the non-snore-stopping state.
If the duration of the stop of the snore signal exceeds a second preset duration, the snore signal is eliminated, the snore signal is stopped and stopped for a long time, and the snore signal does not exist in a long time period, the working state of the lifting unit 90 is controlled, the head inclination angle of the intelligent mattress 100 is adjusted back to the first angle, namely the intelligent mattress 100 is in a flat state or close to the flat state, and the sleeping posture of a user and the sleeping habits of the user are better met. It should be noted that the second preset time period may be set according to a user requirement, and in the embodiment of the present invention, the second preset time period may be 10 min. If the first angle is zero, namely after the snore signal is eliminated, and the stop time exceeds 10min, the inclination angle of the head of the intelligent mattress 100 is reduced to zero, so that the intelligent mattress 100 is restored to the flat state just started, the sleeping posture of the user is better met, and the sleeping effect of the user is better.
In some embodiments, the control processing unit 20 is further configured to determine whether there is a snore signal if the smart mattress 100 is in the non-snore-stopping state; if no snore signal exists, returning to the step of determining the working state of the intelligent mattress 100 according to the inclination angle of the head; if the snore signal exists, determining the snore grade of the snore signal according to the snore signal and a preset template; and controlling the working state of the lifting device according to the snore level so as to adjust the head inclination angle of the intelligent mattress 100.
If the intelligent mattress 100 is in the non-snore-stopping state, it means that the intelligent mattress 100 has not yet performed the first snore-stopping operation. If the user starts the snore stopping mode in the initial stage, the intelligent mattress 100 starts to execute the related functions in the snore stopping mode, at this time, the intelligent mattress 100 is in the non-snore stopping state, and if the user has snore behavior and snore signals exist in the non-snore stopping state, the snore grade of the snore signals is determined according to the snore signals and the preset template. The preset template is pre-stored in the control processing unit 20, and after the snore stopping mode is turned on and the snore signal exists, the control processing unit 20 may call the preset template for comparison and analysis with a specific numerical value of the current snore signal to determine a corresponding snore level for the current snore signal.
The preset template comprises a plurality of preset templates, different snore levels correspond to different preset templates, and if the snore signal is judged to accord with one preset template, the snore signal is determined to be at the corresponding snore level; if the snore intensity and the snore waveform accord with a second preset template, determining that the snore level of the snore signal is a second level; and if the snore intensity and the snore waveform accord with a third preset template, determining that the snore level of the snore signal is a third level. Generally, the greater the intensity of snoring, the higher the level of snoring.
After receiving the snore signal, the control processing unit 20 performs algorithm processing on the snore signal to obtain snore intensity and a snore waveform, specifically, may perform fourier transform processing on data of the snore signal, convert the data into an analog signal to obtain a waveform of the snore signal, and then determines a corresponding snore level according to the waveform and the amplitude of the snore signal. Therefore, the control processing unit 20 can determine the snore level of the snore signal under the condition that the snore signal exists and the snore signal is not in the snore stopping state, so as to control the working state of the lifting unit 90 according to the snore level, adjust the head inclination angle of the intelligent mattress 100, perform the snore stopping operation aiming at the snore level, and have strong pertinence and good snore stopping effect.
In some embodiments, performing, according to the snore level, a snore stopping operation for the snore level specifically includes: if the snore level of the snore signal is a first level, controlling the working state of the lifting unit 90 so as to adjust the head inclination angle of the intelligent mattress 100 to be raised from a first angle to a second angle; if the snore level of the snore signal is the second level, controlling the working state of the lifting unit 90 so as to adjust the head inclination angle of the intelligent mattress 100 to be raised from the first angle to the third angle; if the snore level of the snore signal is the third level, the working state of the lifting unit 90 is controlled so as to adjust the head inclination angle of the intelligent mattress 100 to be raised from the first angle to the fourth angle. Different snore grades, the angle that rises is different, and under general condition, the higher the snore grade, the bigger the angle that rises, namely, the fourth angle is greater than the third angle, and the third angle is greater than the second angle. The higher the snore level, the heavier the snore is, the greater the angle by which the head tilt angle of the intelligent mattress 100 is raised. The second angle, the third angle, and the fourth angle may be set according to user needs, and in the embodiment of the present invention, they may be 10 °, 15 °, and 20 °, respectively. After the corresponding snore stopping operation is carried out aiming at the snore level, namely different snore levels, the head inclination angle of the intelligent mattress 100 is raised from the first angle by different angles, the intelligent mattress 100 enters a snore stopping state, if the snore still exists in the snore stopping state, the snore stopping operation is continuously carried out on the snore signal, namely the corresponding adjustment is continuously carried out on the head inclination angle of the intelligent mattress 100, and the snore stopping function is realized.
The audio unit 60 is used to play music to promote sleep, and the light unit 70 is used to adjust the light of the environment in which the smart mattress 100 is located, and may also be used to promote sleep.
For example, at night when the user is asleep, the audio unit 60 can play some light music or sleep-aid music, and can be used to help quickly enter the sleep state in cooperation with the soft light emitted from the light unit 70.
It should be noted that the hardware configuration of the intelligent mattress circuitry as shown in fig. 2 is only one example, and that the intelligent mattress circuitry may have more or fewer components than shown in the figures, may combine two or more components, or may have a different configuration of components, and that the various components shown in the figures may be implemented in hardware, software, or a combination of hardware and software, including one or more signal processing and/or application specific integrated circuits. For example, the intelligent mattress circuit may further include a temperature and humidity acquisition unit, which includes a temperature and humidity sensor, and the temperature and humidity sensor transmits acquired temperature and humidity signals to the control processing unit 20. As another example, the intelligent mattress circuit may further include an infrared detection unit, the infrared detection unit includes an infrared pyroelectric circuit, and it collects dynamic human body signals, for example, when the user is at night, the infrared pyroelectric circuit collects dynamic human body signals, and transmits them to the control processing unit 20, and the control processing unit 20 may control the night light to turn on for the user illumination. For another example, the snore pre-processing unit 50 may be one of the functional modules of the control processing unit 20, or may be integrated in the control processing unit 20, and the control processing unit 20 may employ an Apollo microcontroller of Ambiq Micro.
Fig. 8 is a schematic flow chart of a sleep-aid control method provided in an embodiment of the present invention, where the method may be executed by the smart mattress of fig. 1, 2, or 4, as shown in fig. 8, and the method includes:
701: and acquiring physiological data of the human body collected by the sleep monitoring unit, wherein the physiological data comprises heartbeat data and respiration data.
In some embodiments, the sleep monitoring unit may employ a micro-motion signal sensor, and when a human body is located beside the micro-motion signal sensor, the micro-motion signal sensor senses a mechanical vibration pressure signal generated by respiration, heartbeat, body movement, and the like of the human body, and converts the mechanical vibration pressure signal into a micro-motion piezoelectric signal, where the human body is located beside the micro-motion signal sensor, and the micro-motion signal sensor is located on or close to the micro-motion signal sensor, so that the micro-motion signal sensor can detect a micro-motion signal of the human body.
When the micro-motion signal sensor obtains a micro-motion piezoelectric signal, the micro-motion piezoelectric signal is transmitted to the control processing unit, the control processing unit carries out analog-to-digital conversion on the micro-motion piezoelectric signal into a digital signal which can be processed by an algorithm, and respiration data and heartbeat data are respectively obtained based on the micro-motion piezoelectric signal which is converted into the digital signal.
702: and determining the sleep state of the human body based on the heartbeat data and the respiration data, wherein the sleep state comprises an out-of-bed state, an in-sleep state, a deep sleep state and an out-of-bed state.
Through analyzing and handling heartbeat data and breathing data, can obtain the user that is located the bed and be in which kind of sleep state, for example, in an embodiment, through extracting respiratory cycle and breathing amplitude in breathing data, extract the rhythm of the heart from heartbeat data simultaneously, reunion respiratory cycle, breathing amplitude and rhythm of the heart, comprehensive judgement can obtain comparatively accurate sleep state.
As shown in fig. 9, the method for determining the sleep state through the breathing cycle, the breathing amplitude and the heart rate includes the following steps:
7021: and acquiring each trough in the waveform corresponding to the sleep data.
In some embodiments, the values are queried from left to right on the waveform of the sleep data, and when a certain value is smaller than the values at the left and right ends, the value is determined as a trough, and then the query is continued to be performed downwards, and the query is performed continuously at a preset query frequency, so that each trough appearing in the sleep data can be obtained.
7022: and calculating the time length between two adjacent wave troughs in real time, wherein the time length is the breath duration.
Through the wave troughs obtained in real time, the time corresponding to each wave trough can be found, the time length between adjacent wave troughs is the breathing time length, the breathing time length is the breathing period, and therefore, each breathing period can be acquired in real time by setting a proper acquisition frequency.
For example, the sleep data diagram shown in fig. 10 is used for explanation, that is, the sleep data extracted based on the micro-motion piezoelectric signal of the human body is generally a waveform diagram having peaks and troughs, as shown in fig. 10, the time T1 corresponds to the time T2, and the trough corresponding to the time T1 and the trough corresponding to the time T2 are adjacent troughs, and the time length between the time T1 and the time T2 is the respiration time length.
7023: and calculating the difference between the minimum value and the maximum value in the waveform corresponding to the sleep data in the breath duration in real time, wherein the difference is a breath amplitude.
Because the respiration intensity varies, the collected troughs may be the same or different, and therefore, if a respiration amplitude is to be obtained, the maximum and minimum values in each respiration cycle must be obtained, wherein the respiration amplitude is the difference between the maximum and minimum values in one respiration cycle. Further, in some embodiments, if the adjacent troughs are the same due to the uniform breathing of the user, the difference between the adjacent peaks and troughs is calculated as the breathing amplitude.
As can be seen from the above, in fig. 10, the values corresponding to the time T1 and the time T2 are adjacent troughs, and the value corresponding to the time T3 is a peak.
It should be understood that since the respiration data is not a regular waveform, when extracting peaks and valleys, it can be obtained by the trend of the waveform, for example, a downward trend on the left side of the valleys and an upward trend on the right side of the valleys.
Meanwhile, in order to find the wave crest and the wave trough more conveniently and reduce the situation that the wave trough is missed or is too many when the wave trough is obtained, a time fluctuation interval can be preset and whether the wave trough or the wave crest is determined by combining the change amplitude of the waveform. For example, if the fluctuation coefficient is set to 3, the corresponding fluctuation interval for time T1 is (T1-3, T1+3), and the interval as a whole can be defined as a peak or a trough only if the preset waveform variation trend is satisfied on both sides of the whole, so that more accurate peaks and troughs can be found.
Taking the sleep data in fig. 10 as an example, in fig. 10, although the waveform trend on both sides of the time T1a or the time T1a corresponds to the trend of the trough, the trough corresponding to the time T1a or the time T1a, which is not actually required, results in poor accuracy of the final result. However, by setting the time fluctuation interval, if it is assumed that the fluctuation coefficient is set to 3, the corresponding fluctuation interval is (T1-3, T1+3) for time T1, the left side of the interval (T1-3, T1+3) is a descending trend, and the right side thereof is an ascending trend, so as to satisfy the variation trend of the trough, and if time T1a and time T1b are both located in the interval (T1-3, T1+3), the final query result only obtains one trough, which can be defined as the trough corresponding to time T1, so as to meet the actual requirement, and therefore, the accuracy of the monitored data can be improved.
In two adjacent wave troughs, the wave trough with a smaller value is the minimum value in the breathing time length corresponding to the two wave troughs, namely, the time length between the time T1 and the time T2 is one breathing time length, for the wave trough corresponding to the time T1 and the wave trough corresponding to the time T2, if the value of the wave trough corresponding to the time T2 is smaller than the value of the wave trough corresponding to the time T1, the value of the wave trough corresponding to the time T2 is the minimum value in the breathing time length between the time T1 and the time T2, and the value corresponding to the time T3 is the wave crest, and the value corresponding to the time T3 is the maximum value. The respiration amplitude is calculated by calculating the difference between the maximum value (the value of the peak corresponding to the time T3) and the minimum value (the value of the trough corresponding to the time T2) in the time length between the time T1 and the time T2.
7024: and acquiring each peak in the waveform corresponding to the sleep data.
As can be seen from the above, in fig. 10, the values corresponding to the time T1a and the time T1b are not troughs, but may be primary peaks. That is, a value corresponding to a certain time, if both ends of the value satisfy a peak variation trend, the value corresponding to the certain time may be called a peak, where the variation trend includes two situations: 1. the left side of the corresponding numerical value at a certain moment is in a descending trend, and the right side of the corresponding numerical value is in an ascending trend; 2. the left side of the corresponding numerical value at a certain moment is in an ascending trend, and the right side is in a descending trend. The breathing data shown in fig. 10 may be amplified to facilitate analysis.
As shown in fig. 11, after a small segment is cut from the sleep data shown in fig. 10, the cut data is amplified, and the waveform shown in fig. 11 can be obtained. Point a1, point a2, and point A3 are all peaks, since the left side of point a1 is an upward trend and the right side of point a1 is a downward trend, which meet the definition of the above peaks, point a1 is a peak a1, and similarly, point a2 and point A3 are a peak a2 and a peak A3, respectively. By collecting the sleep data in real time, each peak in the waveform corresponding to the sleep data can be acquired.
7025: calculating the speed from the previous peak to the next peak based on the time length and the distance between the two adjacent peaks, and recording the next peak as a heartbeat if the value corresponding to the previous peak is greater than the value corresponding to the next peak and the speed is greater than the preset speed.
7026: determining heart rate based on total number of heartbeats within preset duration
Referring to fig. 11 again, the data shown in fig. 11 will be explained. As shown in fig. 10, the peak a1 and the peak a2 are adjacent peaks, and the peak a2 and the peak A3 are adjacent peaks.
The distance between the peak a1 and the peak a2 is L1, the duration is t1, the speed from the peak a1 to the peak a2 is v1 ═ L1/t1, meanwhile, the peak a1 is the previous peak of the peak a2, the peak a2 is the next peak of the peak a1, and the value corresponding to the peak a1 is greater than the value corresponding to the peak a 2. Therefore, if the velocity v1 is greater than or equal to the preset velocity, the peak a2 at this time is recorded as a heartbeat; on the contrary, if the velocity v1 is less than the preset velocity, neither the peak a1 nor the peak a2 is recorded as a heartbeat.
For the peak a2 and the peak A3, since the value corresponding to the peak a2 is smaller than the value corresponding to the peak A3, the peak A3 is not recorded as a heartbeat, and whether the peak a2 can be used as a heartbeat depends on the relationship between the peak a1 and the peak a.
After the real-time heartbeat is acquired, the total number of heartbeats can be calculated within a preset time duration, and then the heart rate data can be acquired, for example, if the number of heartbeats acquired within 20 seconds is 10, then the heart rate at this time is: 10/20 × 60 — 30, the heart rate can be calculated to be 30 bpm.
7027: determining a sleep state of the user based on the breath duration, the breath amplitude, and the heart rate.
In an embodiment, after the breathing duration, the breathing amplitude and the heart rate are obtained according to the above calculation method, if the breathing amplitude is smaller than the preset amplitude, the breathing duration is within the preset breathing time period, and the falling amplitude of the heart rate is within the preset falling amplitude interval, the sleep state of the user is determined to be the sleep state.
When a user starts to lie down to enter the sleep, the breathing and the heartbeat of the human body both slowly tend to be in a gentle state, the breathing amplitude value is gradually reduced, the breathing duration is gradually prolonged, and the heart rate is in a descending trend. Alternatively, it may be determined that the user has entered a sleep state when the amplitude of the breath is within 200 and the breath duration is within a time period of 3s to 5s, while the amplitude of the decrease in the heart rate is within the interval of 5 to 10 times.
In another embodiment, if the fluctuation range of the sleep data that can be acquired by the control processing unit is gradually changed from being outside the preset fluctuation range to being within the preset fluctuation range, and the acquired sleep data is more stable data, it may be determined that the user is in the state of going to bed and not sleeping.
In another embodiment, if the respiration amplitude is smaller than the preset minimum value and the respiration amplitude tends to be stable, that is, the respiration amplitude does not change greatly within a period of time, it can be determined that the user is in a deep sleep state at this time, and further, the user can be comprehensively judged by combining the body movement of the human body.
In another embodiment, if the control processing unit does not monitor the sleep data of the human body, it may be determined that the user is in the out-of-bed state.
703: and controlling the working state of the intelligent mattress based on the sleeping state.
The sleep state comprises four states of an on-bed non-sleep state, an in-sleep state, a deep sleep state and an out-of-bed state, so that different control methods are required to be adopted in the four states, so that the intelligent mattress can realize different working states.
If the sleep state of the user is the out-of-bed state, the smart mattress 100 may be controlled to start the smart sleep mode, wherein, in an embodiment, as shown in fig. 12a, starting the smart sleep mode includes:
7031 a: and controlling a vibration motor of the massage unit to continuously vibrate at a first preset frequency for a first preset time, and then intermittently vibrate at a second preset frequency, wherein the second preset frequency is smaller than the first preset frequency.
7032 a: and controlling the audio unit to play the light music at a first preset volume.
7033 a: and controlling the light unit to emit soft light.
And after the sleeping state of the user is determined to be the state of not sleeping in bed, controlling the intelligent mattress to automatically start the intelligent mode. Firstly, the massage unit is started, so that the vibration motor in the massage unit vibrates at a first preset frequency, the first preset frequency can be set to be a faster frequency to achieve a stronger massage effect, and the vibration mode is continuous vibration, namely the vibration motor is controlled to continuously vibrate at the first preset frequency, so that the fatigue of a user on the body can be quickly relieved; meanwhile, the sleep-aiding music or the light music is played, and the light unit is controlled to emit soft light, so that the user can be helped to further relax the body and mind.
After the vibration motor in the massage unit vibrates at the first preset frequency for the first preset time, for example, the first preset time may be set to be 5 to 10 minutes, and after 5 to 10 minutes, fatigue on the body of the user is relieved, the vibration frequency of the vibration motor in the massage unit may be converted into the second preset frequency, and the second preset frequency is smaller than the first preset frequency, that is, after 5 to 10 minutes, the intensity of the massage is automatically reduced, and meanwhile, the vibration mode is modified into an intermittent vibration mode, for example, the vibration motor is controlled to vibrate once every 10 seconds, and vibrates at the second preset frequency every time. On the basis of keeping massaging for the user, the intensity and the frequency of the massaging are gradually reduced, the user can be helped to quickly sleep, and meanwhile, the situation that the user cannot fall asleep due to overlarge intensity or overhigh frequency of the vibration motor is avoided. If the sleep state of the user is the falling-asleep state, controlling the smart mattress to adjust the smart sleep mode, wherein, in an embodiment, as shown in fig. 12b, adjusting the smart sleep mode includes:
7031 b: and controlling the vibration motor to keep intermittent vibration at a third preset frequency, wherein the third preset frequency is less than the second preset frequency.
7032 b: and controlling the audio unit to play the light music at a second preset volume, wherein the second preset volume is smaller than the first preset volume.
7033 b: and controlling the light of the light unit to be turned off.
Since it is determined that the user has entered the sleep state, the vibration intensity and the vibration frequency of the vibration motor should be further reduced, for example, if the user vibrates every 10 seconds while going to bed but not sleeping, the vibration motor may be set to vibrate every 20 seconds after falling asleep, and of course, the vibration may be maintained every 10 seconds, and only the vibration frequency is reduced. By reducing the massage intensity of the massage unit, the influence on the user falling asleep can be reduced; meanwhile, the volume of music played by the audio unit is reduced, and the light unit is turned off, so that the user is prevented from waking up again due to environmental reasons after falling asleep.
If the sleep state of the user is a deep sleep state, controlling the smart mattress to turn off the smart sleep mode, wherein, in an embodiment, as shown in fig. 12c, turning off the smart sleep mode includes:
7031 c: controlling the massage unit to be closed.
7032 c: and controlling the audio unit to be closed.
7033 c: and controlling the lifting unit to adjust the working state so as to adjust the intelligent mattress to be in a horizontal state.
If it is determined at this point that the user is in a deep sleep state, the massage unit and the audio unit should be turned off, since the user has been successfully helped to fall asleep, and then it should be considered to try to reduce the impact on the user's sleep process. Simultaneously, in order to accord with the demand of human sleep more, steerable lift unit adjusts the angle of intelligent mattress, adjusts intelligent mattress to the horizontality, further improves the sleep quality.
In another embodiment, when the ambient temperature at the position of the intelligent mattress is lower, the adjustment of the ambient temperature can be realized by controlling the intelligent mattress, for example, in winter, an ambient temperature more comfortable for the body of the intelligent mattress is preset according to the user requirement, the intelligent mattress can monitor the ambient temperature in real time and obtain the current ambient temperature in real time, if the current ambient temperature is lower than the preset temperature, the heating sheet in the heating unit is controlled to obtain, and then the heating sheet heats to raise the ambient temperature, when the ambient environment is monitored to be raised to be equal to or higher than the preset temperature, the heating sheet in the heating unit is controlled to lose power, that is, the connection between the heating sheet and the power supply is disconnected, so that the temperature of the environment can be maintained at a more stable temperature, and the temperature is close to the temperature set by the user, a comfortable sleeping environment is provided for the user, and the sleeping experience of the user is further improved.
It will be appreciated that different users have respective requirements for ambient temperature and that the function of automatically adjusting the ambient temperature should be set manually by the user to turn on or not, without automatically activating the function.
The sleep-aiding control method provided by the invention is applied to an intelligent mattress, the intelligent mattress comprises a sleep monitoring unit, a massage unit, an audio unit, a light unit, a lifting unit, a heating unit and the like, firstly, physiological data collected by the sleep monitoring unit is obtained, the physiological data comprises heartbeat data and respiration data, then, the sleep state of a user is judged according to the heartbeat data and the respiration data, and then, the working state of the intelligent mattress is adjusted according to the sleep state of the user, namely, the working states of the massage unit, the audio unit, the light unit, the lifting unit, the heating unit and the like are adjusted, so that the intelligent mattress can be adjusted in real time according to the sleep data of the user to help the user fall asleep, the sleep quality of the user is improved, and the user experience is better.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A sleep-aiding control method is applied to an intelligent mattress, the intelligent mattress comprises a sleep monitoring unit, and the sleep-aiding control method comprises the following steps:
acquiring physiological data of a human body collected by the sleep monitoring unit, wherein the physiological data comprises heartbeat data and respiration data;
determining a sleep state of the human body based on the heartbeat data and the respiration data, wherein the sleep state comprises an out-of-bed state, an in-sleep state, a deep sleep state and an out-of-bed state;
based on the sleep state, the working state of the intelligent mattress is adjusted to help the human body to sleep.
2. The sleep-aid control method according to claim 1, wherein the determining the sleep state of the human body based on the heartbeat data and the respiration data comprises:
acquiring each wave trough in a waveform corresponding to the sleep data;
calculating the time length between two adjacent wave troughs in real time, wherein the time length is the breath duration;
calculating the difference between the minimum value and the maximum value in the waveform corresponding to the sleep data in the breath duration in real time, wherein the difference is a breath amplitude;
acquiring each peak in a waveform corresponding to the sleep data;
calculating the speed from the previous peak to the next peak based on the time length and the distance between the two adjacent peaks, and recording the next peak as a heartbeat if the value corresponding to the previous peak is greater than the value corresponding to the next peak and the speed is greater than a preset speed;
determining a heart rate based on the total number of heartbeats within a preset duration;
determining a sleep state of the user based on the breath duration, the breath amplitude, and the heart rate.
3. The sleep-aid control method according to claim 2, wherein the determining the sleep state of the user based on the breath duration, the breath amplitude and the heart rate comprises:
and if the breathing amplitude is smaller than a preset amplitude, the breathing time is in a preset breathing time period, and the falling amplitude of the heart rate is in a preset falling amplitude interval, determining that the sleep state of the user is in a sleep state.
4. The sleep-aid control method according to claim 1, wherein the intelligent mattress further comprises a massage unit, an audio unit and a light unit;
the adjusting the working state of the intelligent mattress based on the sleep state comprises:
if the sleeping state of the user is the state of getting out of bed and not sleeping, controlling the intelligent mattress to start an intelligent sleeping mode;
wherein the turning on the smart sleep mode includes:
controlling a vibration motor of the massage unit to continuously vibrate at a first preset frequency for a first preset time, and then intermittently vibrating at a second preset frequency, wherein the second preset frequency is smaller than the first preset frequency;
controlling the audio unit to play the light music at a first preset volume;
and controlling the light unit to emit soft light.
5. The sleep-aid control method according to claim 4, wherein the adjusting the working state of the smart mattress based on the sleep state comprises:
if the sleeping state of the user is in a sleeping state, controlling the intelligent mattress to adjust an intelligent sleeping mode;
wherein the adjusting of smart sleep comprises:
controlling the vibration motor to keep intermittent vibration at a third preset frequency, wherein the third preset frequency is smaller than the second preset frequency;
controlling the audio unit to play the light music at a second preset volume, wherein the second preset volume is smaller than the first preset volume;
and controlling the light of the light unit to be turned off.
6. The sleep-aid control method according to claim 5, wherein the intelligent mattress further comprises a lifting unit;
the adjusting the working state of the intelligent mattress based on the sleep state comprises:
if the sleep state of the user is a deep sleep state, controlling the intelligent mattress to close an intelligent sleep mode;
wherein the turning off the smart sleep mode includes:
controlling the massage unit to be closed;
controlling the audio unit to be closed;
and controlling the lifting unit to adjust the working state so as to adjust the intelligent mattress to be in a horizontal state.
7. A sleep aid control method as claimed in any one of claims 1 to 6, wherein said smart mattress further comprises a heating unit;
the sleep-aid control method further comprises the following steps:
acquiring a preset temperature set by a user;
acquiring the current temperature of the sleep environment;
if the current temperature is lower than the preset temperature, controlling a heating sheet in the heating unit to be electrified;
and if the temperature is higher than or equal to the preset temperature, controlling the heating sheet in the heating unit to lose power.
8. An intelligent mattress circuit, comprising:
the sleep monitoring unit is used for acquiring physiological data of a human body;
a control processing unit for processing the sleep data, the control processing unit comprising:
at least one processor and a memory communicatively coupled to the at least one processor, the memory storing instructions executable by the at least one processor to enable the at least one processor to perform the method of any of claims 1-7.
9. The smart mattress circuit of claim 8,
the intelligent mattress circuit further comprises a massage unit, an audio unit, a light unit, a lifting unit and a heating unit, wherein the control processing unit is respectively connected with the massage unit, the audio unit, the light unit, the lifting unit and the heating unit;
the control processing unit is used for outputting corresponding control signals to control the working states of the massage unit, the audio unit, the light unit, the lifting unit and the heating unit.
10. A non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by a smart mattress, cause the smart mattress to perform the method of any of claims 1-7.
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113940523A (en) * | 2021-10-09 | 2022-01-18 | 珠海格力电器股份有限公司 | Self-adjusting method and device of intelligent mattress, intelligent mattress and storage medium |
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CN114027669A (en) * | 2021-12-10 | 2022-02-11 | 珠海格力电器股份有限公司 | Mattress stress adjusting method and device, mattress and storage medium |
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Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5840039A (en) * | 1994-12-29 | 1998-11-24 | Polar Electro Oy | Method and apparatus in connection with measuring the heartbeat rate of a person |
JP2014030753A (en) * | 2013-09-20 | 2014-02-20 | Mitsubishi Electric Corp | Biological state acquisition device, biological state acquisition program, apparatus provided with biological state acquisition device, and air conditioner |
US20140358014A1 (en) * | 2004-11-02 | 2014-12-04 | University College Dublin, National University Of Ireland, Dublin | Sleep monitoring system |
US20160015314A1 (en) * | 2014-07-21 | 2016-01-21 | Withings | System and Method to Monitor and Assist Individual's Sleep |
WO2016179794A1 (en) * | 2015-05-12 | 2016-11-17 | 深圳市睿泰天成健康科技有限公司 | Smart air-conditioning massage mattress and method for regulating personal room environment |
CN106687033A (en) * | 2014-09-04 | 2017-05-17 | 日本电信电话株式会社 | Heartbeat detection method and heartbeat detection device |
CN107198516A (en) * | 2017-07-11 | 2017-09-26 | 河北工业大学 | The method and intelligent bed of a kind of chainless detection respiratory rate heart rate |
CN108420228A (en) * | 2018-04-13 | 2018-08-21 | 浙江想能云软件股份有限公司 | A kind of soft or hard adjustable bed mattess of intelligence and its monitoring method of sleep state monitoring |
JP2019013479A (en) * | 2017-07-07 | 2019-01-31 | 国立大学法人電気通信大学 | Heart rate / respiration measurement system and heart rate / respiration measurement method |
CN109730658A (en) * | 2018-12-29 | 2019-05-10 | 北京工业大学 | An artificial intelligence mattress system |
CN111050640A (en) * | 2017-09-06 | 2020-04-21 | 株式会社村上开明堂 | Heartbeat detection device, heartbeat detection method, and program |
CN111358448A (en) * | 2020-03-23 | 2020-07-03 | 珠海格力电器股份有限公司 | Sleep regulation method and device |
US20200260962A1 (en) * | 2015-11-09 | 2020-08-20 | Magniware Ltd. | System and methods for acquisition and analysis of health data |
-
2020
- 2020-10-23 CN CN202011149461.7A patent/CN112295078A/en active Pending
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5840039A (en) * | 1994-12-29 | 1998-11-24 | Polar Electro Oy | Method and apparatus in connection with measuring the heartbeat rate of a person |
US20140358014A1 (en) * | 2004-11-02 | 2014-12-04 | University College Dublin, National University Of Ireland, Dublin | Sleep monitoring system |
JP2014030753A (en) * | 2013-09-20 | 2014-02-20 | Mitsubishi Electric Corp | Biological state acquisition device, biological state acquisition program, apparatus provided with biological state acquisition device, and air conditioner |
US20160015314A1 (en) * | 2014-07-21 | 2016-01-21 | Withings | System and Method to Monitor and Assist Individual's Sleep |
CN106687033A (en) * | 2014-09-04 | 2017-05-17 | 日本电信电话株式会社 | Heartbeat detection method and heartbeat detection device |
WO2016179794A1 (en) * | 2015-05-12 | 2016-11-17 | 深圳市睿泰天成健康科技有限公司 | Smart air-conditioning massage mattress and method for regulating personal room environment |
US20200260962A1 (en) * | 2015-11-09 | 2020-08-20 | Magniware Ltd. | System and methods for acquisition and analysis of health data |
JP2019013479A (en) * | 2017-07-07 | 2019-01-31 | 国立大学法人電気通信大学 | Heart rate / respiration measurement system and heart rate / respiration measurement method |
CN107198516A (en) * | 2017-07-11 | 2017-09-26 | 河北工业大学 | The method and intelligent bed of a kind of chainless detection respiratory rate heart rate |
CN111050640A (en) * | 2017-09-06 | 2020-04-21 | 株式会社村上开明堂 | Heartbeat detection device, heartbeat detection method, and program |
CN108420228A (en) * | 2018-04-13 | 2018-08-21 | 浙江想能云软件股份有限公司 | A kind of soft or hard adjustable bed mattess of intelligence and its monitoring method of sleep state monitoring |
CN109730658A (en) * | 2018-12-29 | 2019-05-10 | 北京工业大学 | An artificial intelligence mattress system |
CN111358448A (en) * | 2020-03-23 | 2020-07-03 | 珠海格力电器股份有限公司 | Sleep regulation method and device |
Non-Patent Citations (1)
Title |
---|
金巍,等: "睡眠监测系统以及与之联动的环境家电用于提升睡眠质量的应用展望", 《世界睡眠医学杂志》 * |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2022166541A1 (en) * | 2021-02-05 | 2022-08-11 | 麒盛科技股份有限公司 | Sleep-aiding control method and device |
WO2023040738A1 (en) * | 2021-09-14 | 2023-03-23 | 哈工天愈(中山)机器人有限公司 | Control method for new sleep disorder rehabilitation physiotherapy robot, and robot |
CN113940523A (en) * | 2021-10-09 | 2022-01-18 | 珠海格力电器股份有限公司 | Self-adjusting method and device of intelligent mattress, intelligent mattress and storage medium |
CN114027669A (en) * | 2021-12-10 | 2022-02-11 | 珠海格力电器股份有限公司 | Mattress stress adjusting method and device, mattress and storage medium |
CN113952589A (en) * | 2021-12-13 | 2022-01-21 | 哈尔滨理工大学 | An intelligent mattress with sleep adjustment function |
CN114431670A (en) * | 2022-01-18 | 2022-05-06 | 广州汇航百新信息科技有限公司 | Multifunctional intelligent mattress |
CN116196525A (en) * | 2022-12-27 | 2023-06-02 | 嘉兴慕思智能家居有限公司 | Intelligent sleep aiding method, intelligent sleep aiding equipment and storage medium |
CN115903627A (en) * | 2022-12-28 | 2023-04-04 | 长兴精石科技有限公司 | Intelligent controller and intelligent control system thereof |
CN117806214A (en) * | 2023-12-29 | 2024-04-02 | 深圳市中科传感技术有限公司 | Intelligent mattress control method, device and equipment based on AI algorithm and reverse S support |
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