CN114052682A - A Physiological Parameter Monitoring System Based on Raspberry Pi - Google Patents
A Physiological Parameter Monitoring System Based on Raspberry Pi Download PDFInfo
- Publication number
- CN114052682A CN114052682A CN202111526304.8A CN202111526304A CN114052682A CN 114052682 A CN114052682 A CN 114052682A CN 202111526304 A CN202111526304 A CN 202111526304A CN 114052682 A CN114052682 A CN 114052682A
- Authority
- CN
- China
- Prior art keywords
- unit
- circuit
- heart rate
- raspberry
- pulse
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 32
- 240000007651 Rubus glaucus Species 0.000 claims abstract description 35
- 235000011034 Rubus glaucus Nutrition 0.000 claims abstract description 35
- 235000009122 Rubus idaeus Nutrition 0.000 claims abstract description 35
- 108010064719 Oxyhemoglobins Proteins 0.000 claims abstract description 7
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 49
- 239000008280 blood Substances 0.000 claims description 49
- 229910052760 oxygen Inorganic materials 0.000 claims description 49
- 239000001301 oxygen Substances 0.000 claims description 49
- 210000004369 blood Anatomy 0.000 claims description 47
- 238000004364 calculation method Methods 0.000 claims description 18
- 239000000523 sample Substances 0.000 claims description 14
- 230000003321 amplification Effects 0.000 claims description 10
- 238000010606 normalization Methods 0.000 claims description 10
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 10
- 238000001914 filtration Methods 0.000 claims description 7
- 230000000087 stabilizing effect Effects 0.000 claims description 7
- 230000006835 compression Effects 0.000 claims description 5
- 238000007906 compression Methods 0.000 claims description 5
- 238000004088 simulation Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 abstract description 4
- 238000003745 diagnosis Methods 0.000 abstract description 4
- 230000036541 health Effects 0.000 abstract description 4
- 230000033764 rhythmic process Effects 0.000 abstract 1
- 230000006870 function Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 8
- 238000004422 calculation algorithm Methods 0.000 description 4
- 230000007774 longterm Effects 0.000 description 4
- 238000006243 chemical reaction Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 229910003798 SPO2 Inorganic materials 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000005802 health problem Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 229920000742 Cotton Polymers 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000017531 blood circulation Effects 0.000 description 1
- 244000309464 bull Species 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007850 degeneration Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012856 packing Methods 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004171 remote diagnosis Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/024—Measuring pulse rate or heart rate
- A61B5/0245—Measuring pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue for measuring blood gases
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Pathology (AREA)
- Biophysics (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Cardiology (AREA)
- Physiology (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Optics & Photonics (AREA)
- Psychiatry (AREA)
- Power Engineering (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Pulmonology (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a physiological parameter monitoring system based on a raspberry pi, and belongs to the field of medical equipment. Carry this system on one's body the user, gather the electrocardio signal on one's body the user through electrocardio collection module, pulse collection module gathers the pulse wave signal on one's body the user, use control circuit can obtain rhythm of the heart and oxyhemoglobin saturation based on these two kinds of signals, then can show in real time through display module, realize real-time supervision and the change of record user physiological information data under daily life state, reach long-time, the purpose of continuous monitoring, the user has been improved to the understanding of self health and the diagnosis accuracy of doctor to the patient's state of an illness.
Description
Technical Field
The invention relates to the field of medical equipment, in particular to a physiological parameter monitoring system based on a raspberry pi.
Background
Since most of the elderly suffer from chronic diseases and various physiological function degeneration caused by aging, health problems are common, and long-term monitoring of their physical conditions is required. Under realistic conditions, the elderly are rarely under scrutiny in medical institutions such as hospitals for a long period of time when no major health problems occur.
The traditional instrument for monitoring human physiological parameters is often single in function, low in intelligent level or large in size, high in power consumption, not easy to carry and expensive (such as an electrocardiogram monitor), and parameters can be measured only under specific conditions, so that the application range of the traditional instrument is limited.
Disclosure of Invention
The invention aims to provide a physiological parameter monitoring system based on a raspberry pi, and aims to solve the problem that the existing instrument has single function and cannot meet the practical requirement.
In order to achieve the purpose, the invention provides a physiological parameter monitoring system based on a raspberry pie, which comprises an electrocardio acquisition module, a pulse acquisition module, a control circuit and a display module, wherein the electrocardio acquisition module and the pulse acquisition module are respectively connected with the control circuit, and the display module is connected with the control circuit;
the electrocardiosignal acquisition module is used for acquiring electrocardiosignals and filtering the electrocardiosignals to obtain electrocardiosignals;
the pulse acquisition module is used for acquiring pulse wave signals and filtering the pulse wave signals to obtain pulse signals;
the control circuit is used for acquiring electrocardiosignals and calculating heart rate, and is also used for acquiring pulse signals and calculating the blood oxygen saturation;
the display module is used for displaying the heart rate and the blood oxygen saturation.
Wherein, the pulse acquisition module includes finger clamp probe and pulse acquisition front end, the pulse is gathered the front end and is included LED drive circuit, first preamplification circuit, first filter circuit, first ADC circuit, first controller, first delivery outlet and first timer, LED drive circuit with first preamplification circuit respectively with finger clamp probe connection, first filter circuit with first preamplification circuit connection, first ADC circuit with first filter circuit connection, first controller with first ADC circuit connection, the one end of first delivery outlet with first controller connection, the other end of first delivery outlet with control circuit connection, first timer with first controller connection.
Wherein the electrocardio acquisition module comprises a three-electrode cable and an electrocardio acquisition front end, the electrocardio acquisition front end comprises a second preamplification circuit, a right leg simulation driver, a second filter circuit, a second ADC circuit, a second controller, a second output port and a second timer, the analog right leg driver and the second pre-amplification circuit are respectively connected with the three-electrode cable, the second filter circuit is connected with the second pre-amplification circuit, the second ADC circuit is connected with the second filter circuit, the second controller is connected with the second ADC circuit, one end of the second output port is connected with the second controller, the other end of the second output port is connected with the control circuit, and the second timer is connected with the second preamplifier circuit, the second filter circuit, the second ADC circuit and the second controller.
The physiological parameter monitoring system based on the raspberry pi further comprises a console, and the console is in wireless connection with the control circuit; the console is used for acquiring the heart rate and the blood oxygen saturation, storing and playing back.
The control circuit comprises a microcontroller and a raspberry pi 4B, the microcontroller is connected with the electrocardio acquisition module and the pulse acquisition module, and the raspberry pi 4B is connected with the microcontroller;
the microcontroller is used for calculating the electrocardiosignal and the pulse signal and respectively acquiring the heart rate and the blood oxygen saturation;
the raspberry pi 4B is used for acquiring the heart rate and the blood oxygen saturation and outputting the heart rate and the blood oxygen saturation to the display module.
Wherein the microcontroller comprises a heart rate calculator and a blood oxygen saturation calculator;
the heart rate calculator is used for calculating the heart rate based on the electrocardiosignals;
the blood oxygen saturation calculator is used for calculating the blood oxygen saturation based on the pulse signal.
The heart rate calculator comprises an acquisition unit, a difference unit, an absolute value unit, a search unit, a positioning unit and a heart rate calculation unit, wherein the acquisition unit, the difference unit, the absolute value unit, the search unit, the positioning unit and the heart rate calculation unit are sequentially connected;
the acquisition unit is used for continuously acquiring the electrocardiosignals;
the difference unit is used for calculating a first-order difference;
the absolute value unit is used for calculating the absolute value of the electrocardiosignal after the first-order difference;
the searching unit is used for searching a waveform peak point;
the positioning unit is used for positioning the R wave;
the heart rate calculating unit is used for calculating the heart rate.
The oxyhemoglobin saturation calculator comprises a collecting unit, an inversion unit, a normalization unit, a mean value unit and an oxyhemoglobin saturation calculating unit, wherein the collecting unit, the inversion unit, the normalization unit, the mean value unit and the oxyhemoglobin saturation calculating unit are sequentially connected;
the acquisition unit is used for acquiring red light PPG signals and infrared light PPG signals;
the inversion unit is used for removing direct current signals in the red light PPG signals and the infrared light PPG signals and inverting the signals;
the normalization unit is used for acquiring peak and trough values in the red light PPG signal and the infrared light PPG signal and normalizing the peak and trough values;
the mean value unit is used for obtaining the mean value of the red light PPG signal and the infrared light PPG signal to obtain a red light mean value and an infrared light mean value;
the blood oxygen saturation calculation unit is used for calculating the blood oxygen saturation based on the red light mean value and the infrared light mean value.
In a second aspect, the invention further provides a finger clamp probe, which comprises a supporting component, an adjusting component and a measuring component, wherein the supporting component comprises a lower clamping plate, an upper clamping plate, a compression spring, a sliding plate, a rotating rod and a supporting plate, the supporting plate is fixedly connected with the lower clamping plate and is positioned on one side of the lower clamping plate, the sliding plate is slidably connected with the supporting plate and is positioned on one side of the supporting plate, the rotating rod is rotatably connected with the sliding plate and is positioned on one side of the sliding plate, the upper clamping plate is fixedly connected with the rotating rod and is positioned on one side of the lower clamping plate, and the compression spring is arranged between the upper clamping plate and the sliding plate; the adjusting assembly comprises an adjusting rod and a stabilizing spring, the adjusting rod is in threaded connection with the sliding plate and is in rotating connection with the lower clamping plate, the stabilizing spring is arranged between the sliding plate and the lower clamping plate, the measuring assembly comprises two infrared sensors, and the two infrared sensors are respectively arranged on the upper clamping plate and the lower clamping plate.
The physiological parameter monitoring system based on the raspberry pie of the invention is carried on a user, then an electrocardiosignal on the user is collected through the electrocardiosignal collecting module, an ECG sensor can be adopted to collect the electrocardiosignal, then the pulse wave signal on the user can be collected through the pulse collecting module, so that the pulse signal can be obtained, the control circuit can be composed of a megaly GD32 MCU and a raspberry pie 4B, the heart rate and the blood oxygen saturation can be obtained through the control circuit based on the two signals, then the display module can display the signals in real time, the collected original signals of the pulse, the electrocardio and the like can be received and displayed on an upper computer platform, the function design and realization of the part are carried out at a PC end, software compiling is carried out, and the change of the physiological information data of the user in the daily life state can be monitored and recorded in real time, the purpose of long-time and continuous monitoring is achieved, people can avoid queuing in a large hospital, normal life, work and study of the people are not affected, and the understanding of the user on the body condition of the user and the diagnosis accuracy of the doctor on the illness state of the patient are improved. The multi-physiological parameter system of the system can monitor all age groups of people in real time, improve the living health level and quality of people, become long-term effective medical monitoring with low cost, and solve the problem that the existing instrument has single function and cannot meet the actual requirement.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a raspberry pi based physiological parameter monitoring system of the present invention;
FIG. 2 is a block diagram of an ECG acquisition module of the present invention;
FIG. 3 is a block diagram of a pulse acquisition module of the present invention;
FIG. 4 is a block diagram of a heart rate calculator of the present invention;
fig. 5 is a block diagram of a blood oxygen saturation calculator of the present invention;
FIG. 6 is a flow chart of the calculation of the heart rate calculator of the present invention;
fig. 7 is a calculation flow chart of the blood oxygen saturation calculator of the present invention;
FIG. 8 is a block diagram of a finger grip probe of the present invention;
FIG. 9 is a left side block diagram of the finger grip probe of the present invention;
figure 10 is a right side block diagram of the finger grip probe of the present invention.
1-an electrocardio acquisition module, 2-a pulse acquisition module, 3-a control circuit, 4-a display module, 5-a console, 6-a support component, 7-a regulation component, 8-a measurement component, 11-a three-electrode cable, 12-an electrocardio acquisition front end, 21-a finger clip probe, 22-a pulse acquisition front end, 31-a microcontroller, 32-a raspberry group 4B, 61-a lower splint, 62-an upper splint, 63-a compression spring, 64-a sliding plate, 65-a rotating rod, 66-a support plate, 67-a protection pad, 68-an auxiliary block, 69-a clamping rod, 71-a regulation rod, 72-a stabilizing spring, 81-an infrared sensor, 111-a second pre-amplification circuit, 112-a simulation right leg driver, 113-a second filter circuit, 114-a second ADC circuit, 115-a second controller, 116-a second output port, 117-a second timer, 221-an LED driver circuit, 222-a first pre-amplifier circuit, 223-a first filter circuit, 224-a first ADC circuit, 225-a first controller, 226-a first output port, 227-a first timer, 311-a heart rate calculator, 312-blood oxygen saturation calculator, 3111-acquisition unit, 3112-difference unit, 3113-absolute value unit, 3114-search unit, 3115-location unit, 3116-heart rate calculation unit, 3121-acquisition unit, 3122-inversion unit, 3123-normalization unit, 3124-mean unit, 3125-blood oxygen saturation calculation unit.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
Referring to fig. 1 to 7, the present invention provides a physiological parameter monitoring system based on raspberry pi, comprising:
the device comprises an electrocardio acquisition module 1, a pulse acquisition module 2, a control circuit 3 and a display module 4, wherein the electrocardio acquisition module 1 and the pulse acquisition module 2 are respectively connected with the control circuit 3, and the display module 4 is connected with the control circuit 3;
the electrocardio acquisition module 1 is used for acquiring electrocardiosignals and filtering the electrocardiosignals to obtain electrocardiosignals;
the pulse acquisition module 2 is used for acquiring pulse wave signals and filtering the pulse wave signals to obtain pulse signals;
the control circuit 3 is used for acquiring electrocardiosignals and calculating heart rate, and is also used for acquiring pulse signals and calculating the blood oxygen saturation;
the display module 4 is configured to display the heart rate and the blood oxygen saturation level.
In the embodiment, the system is carried on a user, then the electrocardiosignal of the user is collected through the electrocardiosignal collecting module 1, an ECG sensor can be adopted to collect the electrocardiosignal, then the pulse wave collecting module 2 can be used for collecting the pulse wave signal of the user, so that the pulse signal can be obtained, the control circuit 3 can be composed of a megaly GD32 and a raspberry Pi 4B32, the control circuit 3 can obtain the heart rate and the blood oxygen saturation based on the two signals, then the display module 4 can display the heart rate and the blood oxygen saturation in real time, the collected original signals of the electrocardio, the electrocardio and the like can be received and displayed on an upper computer platform, the function design and the realization of the part are carried out at a PC end, the software programming is carried out, and the real-time monitoring and the change of the physiological information data of the user in the daily life state are realized, the purpose of long-time and continuous monitoring is achieved, people can avoid queuing in a large hospital, normal life, work and study of the people are not affected, and the understanding of the user on the body condition of the user and the diagnosis accuracy of the doctor on the illness state of the patient are improved. The multi-physiological parameter system of the system can monitor all age groups of people in real time, improve the living health level and quality of people, become long-term effective medical monitoring with low cost, and solve the problem that the existing instrument has single function and cannot meet the actual requirement.
Further, the pulse acquisition module 2 includes finger clip probe 21 and pulse acquisition front end 22, the pulse acquisition front end 22 includes LED drive circuit 221, first preamplification circuit 222, first filter circuit 223, first ADC circuit 224, first controller 225, first delivery outlet 226 and first timer 227, LED drive circuit 221 with first preamplification circuit 222 is connected with finger clip probe 21 respectively, first filter circuit 223 with first preamplification circuit 222 is connected, first ADC circuit 224 with first filter circuit 223 is connected, first controller 225 with first ADC circuit 224 is connected, the one end of first delivery outlet 226 with first controller 225 is connected, the other end of first delivery outlet 226 with control circuit 3 is connected, the first timer 227 is connected to the first controller 225.
In this embodiment, the light-transmissive fingerstall-type photoelectric sensor is responsible for acquiring a pulse wave (PPG) signal, driving a light emitting diode in the finger grip probe 21 through the LED driving circuit 221, then amplifying the acquired photoelectric signal by the first preamplifier circuit 222, filtering the photoelectric signal by the first filter circuit 223, then performing analog-to-digital conversion by the first ADC circuit 224 to obtain a digital signal, the first controller 225 controls the first preamplifier, the filter and the analog-to-digital converter to amplify, filter and perform analog-to-digital conversion on the acquired electrocardiographic signal, and is responsible for synchronous transceiving of the signal, and after the signal is processed by the first controller 225, the signal is output to the control circuit 3 through the first output port 226 to be calculated, and the first output port 226 may be an SPI port.
Further, the electrocardiograph acquisition module 1 includes a three-electrode cable 11 and an electrocardiograph acquisition front end 12, the electrocardiograph acquisition front end 12 includes a second pre-amplification circuit 111, a simulated right leg driver 112, a second filter circuit 113, a second ADC circuit 114, a second controller 115, a second output port 116 and a second timer 117, the simulated right leg driver 112 and the second pre-amplification circuit 111 are respectively connected to the three-electrode cable 11, the second filter circuit 113 is connected to the second pre-amplification circuit 111, the second ADC circuit 114 is connected to the second filter circuit 113, the second controller 115 is connected to the second ADC circuit 114, one end of the second output port 116 is connected to the second controller 115, the other end of the second output port 116 is connected to the control circuit 3, and the second timer 117 is connected to the second pre-amplification circuit 111, The second filter circuit 113, the second ADC circuit 114 and the second controller 115 are connected.
In the present embodiment, the three-electrode cable 11 sensor is responsible for collecting electrocardiographic signals, wherein two paths of signals are amplified by the second pre-amplification circuit 111 and filtered by the second filter circuit 113, the digital signal is converted by the second ADC circuit 114, the second controller 115 controls a pre-amplifier, a filter and an analog-to-digital converter to amplify, filter and perform analog-to-digital conversion on the collected PPG signal, and is responsible for synchronous transceiving of the signal, and after the signal is processed by the second controller 115, the raw electrocardiographic signal data can be output to the control circuit 3 through the second output port 116 for calculation, the timer is used for timing and synchronizing the second pre-amplifier circuit 111, the second filter circuit 113, the second ADC circuit 114 and the second controller 115, and the second output port 116 may be an SPI port.
Further, the physiological parameter monitoring system based on the raspberry pi further comprises a console 5, and the console 5 is connected with the control circuit 3; the console 5 is used to acquire the heart rate and the blood oxygen saturation, and store and playback.
In this embodiment, the console 5 may be connected to the control circuit 3 in a wireless or wired manner, so that the heart rate and the blood oxygen saturation level can be obtained, and the heart rate and the blood oxygen saturation level can be maintained at the console 5, thereby improving the reliability of data storage, and performing remote diagnosis, and the control circuit 3 can play back at any time, thereby facilitating viewing.
Further, the control circuit 3 comprises a microcontroller 31 and a raspberry pi 4B32, the microcontroller 31 is connected with the electrocardiogram acquisition module 1 and the pulse acquisition module 2, and the raspberry pi 4B32 is connected with the microcontroller 31;
the microcontroller 31 is configured to calculate the electrocardiographic signal and the pulse signal, and obtain a heart rate and an oxygen saturation level of blood respectively;
the raspberry pi 4B32 is used for acquiring the heart rate and the blood oxygen saturation and outputting the heart rate and the blood oxygen saturation to the display module 4.
In this embodiment, the type of the microcontroller 31 may be a megaly GD32E103CBT6MCU, the heart rate and the blood oxygen saturation can be calculated by inputting the original electrocardiographic signals and pulse signals into the microcontroller 31 and writing them into an algorithm, and then the calculated values are uploaded to the raspberry pi 4B32 through a UART serial port, the raspberry pi 4B32 is a microcomputer system, an SD/MicroSD card is used as a memory hard disk, 1/2/4 USB interfaces and a 10/100 ethernet interface (a type does not have a network port) are arranged around a card motherboard, a keyboard, a mouse and a network cable can be connected, a television output interface and an HDMI high definition video output interface with video analog signals are all integrated on a motherboard which is only slightly larger than a credit card, and the basic functions of all PCs are achieved by only connecting a display and a keyboard, it is possible to perform various functions such as spreadsheet, word processing, game playing, high definition video playing, etc., and thus it is possible to transmit a signal to the display module 4 and drive the display module 4 to display.
Further, the microcontroller 31 includes a heart rate calculator 311 and a blood oxygen saturation calculator 312;
the heart rate calculator 311 is configured to calculate a heart rate based on the electrocardiographic signal;
the blood oxygen saturation calculator 312 is configured to calculate the blood oxygen saturation based on the pulse signal.
The heart rate calculator 311 includes an obtaining unit 3111, a difference unit 3112, an absolute value unit 3113, a searching unit 3114, a positioning unit 3115 and a heart rate calculating unit 3116, and the obtaining unit 3111, the difference unit 3112, the absolute value unit 3113, the searching unit 3114, the positioning unit 3115 and the heart rate calculating unit 3116 are connected in sequence;
the acquiring unit 3111 is configured to continuously acquire an electrocardiographic signal;
the difference unit 3112 is configured to calculate a first order difference;
the absolute value unit 3113 is configured to calculate an absolute value of the electrocardiographic signal after the first-order difference;
the searching unit 3114 is configured to search a peak point of the waveform;
the positioning unit 3115 is configured to position an R wave;
the heart rate calculating unit 3116 is configured to calculate a heart rate.
In this embodiment, each QRS wave on the electrocardiogram represents a heartbeat, and the number of QRS waves generated in the electrocardiogram within one minute is calculated by the algorithm, i.e. the heart rate. The invention adopts a differential threshold algorithm and uses electrocardiosignals to calculate the heart rate. The algorithm is a method for monitoring QRS wave group detection, the rising slope and the falling slope of an R wave form are more obvious than the slope changes of other wave forms, firstly, preprocessed electrocardiosignals are continuously obtained through an obtaining unit 3111, then, a first-order difference is calculated, an absolute value is taken, a wave form peak point is searched, R waves are positioned, finally, the heart rate is calculated, whether a sensor of an acquisition module continuously acquires physiological signals or not is continuously monitored, and if the physiological signals are not acquired, the calculation is finished.
Further, the blood oxygen saturation calculator 312 includes an acquisition unit 3121, an inversion unit 3122, a normalization unit 3123, a mean value unit 3124, and a blood oxygen saturation calculation unit 3125, where the acquisition unit 3121, the inversion unit 3122, the normalization unit 3123, the mean value unit 3124, and the blood oxygen saturation calculation unit 3125 are connected in sequence;
the acquisition unit 3121 is configured to acquire a red light PPG signal and an infrared light PPG signal;
the inversion unit 3122 is configured to remove a direct current signal from the red light PPG signal and the infrared light PPG signal and invert the signals;
the normalization unit 3123 is configured to acquire a peak and a trough value in the red PPG signal and the infrared PPG signal, and normalize the peak and the trough values;
the mean value unit 3124 is configured to take a mean value of the red PPG signal and the infrared PPG signal to obtain a red light mean value and an infrared light mean value;
the blood oxygen saturation calculation unit 3125 is configured to calculate the blood oxygen saturation based on the red light mean value and the infrared light mean value.
In this embodiment, the light emitted by the fingerstall type photoelectric sensor is 660nm red light and 940nm infrared light, and there are two types of measured PPG signals, namely a red PPG signal and an infrared PPG signal, and according to the theoretical lambert-beer law of spectroscopy, the calculation of blood oxygen saturation can be realized by using the red PPG signal and the infrared PPG signal, the red PPG signal and the infrared PPG signal are acquired by the acquisition unit 3121, then the direct current signal is removed and the signals are inverted, then a peak-valley value of each PPG is obtained, the peak-valley value is normalized, and then a normalized mean value is calculated, wherein the red average value is red _ average; the average value of the infrared light is ir _ average, and the calculation formula is as follows:
R＝red_average/ir_average
SPO2＝-45.060*R*R/10000+30.354
wherein R is the calculated ratio, SPO2Is the blood oxygen saturation.
In a second aspect, referring to fig. 8 to 10, the present invention provides a finger clip probe, including a supporting assembly 6, an adjusting assembly 7 and a measuring assembly 8, where the supporting assembly 6 includes a lower clamping plate 61, an upper clamping plate 62, a pressing spring 63, a sliding plate 64, a rotating rod 65 and a supporting plate 66, the supporting plate 66 is fixedly connected to the lower clamping plate 61 and is located at one side of the lower clamping plate 61, the sliding plate 64 is slidably connected to the supporting plate 66 and is located at one side of the supporting plate 66, the rotating rod 65 is rotatably connected to the sliding plate 64 and is located at one side of the sliding plate 64, the upper clamping plate 62 is fixedly connected to the rotating rod 65 and is located at one side of the lower clamping plate 61, and the pressing spring 63 is disposed between the upper clamping plate 62 and the sliding plate 64; the adjusting assembly 7 comprises an adjusting rod 71 and a stabilizing spring 72, the adjusting rod 71 is in threaded connection with the sliding plate 64 and is rotatably connected with the lower clamping plate 61, the stabilizing spring 72 is arranged between the sliding plate 64 and the lower clamping plate 61, the measuring assembly 8 comprises two infrared sensors 81, and the two infrared sensors 81 are respectively arranged on the upper clamping plate 62 and the lower clamping plate 61.
In this embodiment, through the upper plate 62 with the lower plate 61 under the effect of pressure spring 63 carries out the centre gripping to the tester's finger, consider that everyone's finger thickness is different, if the centre gripping is improper can lead to measurement accuracy to reduce, consequently can rotate when the test adjust pole 71 makes sliding plate 64 can reciprocate, thereby drives upper plate 62, bull stick 65 with pressure spring 63 removes and adjusts the packing force to the finger to conveniently be fit for different people and use, then through two human blood flow signal is collected to infrared sensor 81, thereby can obtain information such as pulse through the calculation, make the test more accurate.
Further, the support assembly 6 further includes two protection pads 67, an auxiliary block 68 and a clamping rod 69, the two protection pads 67 are respectively disposed on the upper clamp plate 62 and the lower clamp plate 61, the auxiliary block 68 is fixedly connected to the rotating rod 65 and is located on one side of the sliding plate 64, and the clamping rod 69 is in threaded connection with the sliding plate 64 and contacts the auxiliary block 68.
In this embodiment, protection pad 67 comprises flexible material such as the cotton, through protection pad 67 can protect patient's finger, avoids causing the discomfort, then after the centre gripping, in order to avoid patient's finger to rock upper clamp plate 62 rotates the centre gripping back, through rotating clamping rod 69 will under the effect of friction auxiliary block 68 presss from both sides tightly, makes upper clamp plate 62 relatively fixed for the test is more stable.
The working principle and the using process of the invention are as follows: referring to fig. 1 and 2, after the system is installed, the system is carried on a user, then an electrocardiographic signal of the user is collected through the electrocardiographic collection module 1, an ECG sensor can be used for collecting the electrocardiographic signal, then the pulse collection module 2 can be used for collecting a pulse wave signal of the user, so that the pulse signal can be obtained, the control circuit 3 can be composed of a megaly innovative GD32 MCU and a raspberry pi 4B32, the heart rate and the blood oxygen saturation can be obtained through the control circuit 3 based on the two signals, then the display module 4 can display the signals in real time, so that the collected original signals of the pulse, the electrocardiographic and the like can be received and displayed on an upper computer platform, the part is functionally designed and implemented at a PC end, software programming is performed, and the change of physiological information data of the user in a daily life state can be monitored and recorded in real time, the purpose of long-time and continuous monitoring is achieved, people can avoid queuing in a large hospital, normal life, work and study of the people are not affected, and the understanding of the user on the body condition of the user and the diagnosis accuracy of the doctor on the illness state of the patient are improved. The multi-physiological parameter system of the system can monitor all age groups of people in real time, improve the living health level and quality of people, and become long-term effective medical monitoring with low cost.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A physiological parameter monitoring system based on a raspberry pie is characterized in that,
the pulse acquisition device comprises an electrocardio acquisition module, a pulse acquisition module, a control circuit and a display module, wherein the electrocardio acquisition module and the pulse acquisition module are respectively connected with the control circuit, and the display module is connected with the control circuit;
the electrocardiosignal acquisition module is used for acquiring electrocardiosignals and filtering the electrocardiosignals to obtain electrocardiosignals;
the pulse acquisition module is used for acquiring pulse wave signals and filtering the pulse wave signals to obtain pulse signals;
the control circuit is used for acquiring electrocardiosignals and calculating heart rate, and is also used for acquiring pulse signals and calculating the blood oxygen saturation;
the display module is used for displaying the heart rate and the blood oxygen saturation.
2. The raspberry pi based physiological parameter monitoring system of claim 1,
the pulse acquisition module includes finger clamp probe and pulse acquisition front end, the pulse is gathered the front end and is included LED drive circuit, first preamplification circuit, first filter circuit, first ADC circuit, first controller, first delivery outlet and first timer, LED drive circuit with first preamplification circuit respectively with finger clamp probe connection, first filter circuit with first preamplification circuit connection, first ADC circuit with first filter circuit connection, first controller with first ADC circuit connection, the one end of first delivery outlet with first controller connection, the other end of first delivery outlet with control circuit connects, first timer with first controller connection.
3. The raspberry pi based physiological parameter monitoring system of claim 1,
the electrocardio acquisition module comprises a three-electrode cable and an electrocardio acquisition front end, the electrocardio acquisition front end comprises a second preamplification circuit, a right leg simulation driver, a second filter circuit, a second ADC circuit, a second controller, a second output port and a second timer, the analog right leg driver and the second pre-amplification circuit are respectively connected with the three-electrode cable, the second filter circuit is connected with the second pre-amplification circuit, the second ADC circuit is connected with the second filter circuit, the second controller is connected with the second ADC circuit, one end of the second output port is connected with the second controller, the other end of the second output port is connected with the control circuit, and the second timer is connected with the second preamplifier circuit, the second filter circuit, the second ADC circuit and the second controller.
4. The raspberry pi based physiological parameter monitoring system of claim 1,
the physiological parameter monitoring system based on the raspberry pi also comprises a console, wherein the console is in wireless connection with the control circuit; the console is used for acquiring the heart rate and the blood oxygen saturation, storing and playing back.
5. The raspberry pi based physiological parameter monitoring system of claim 1,
the control circuit comprises a microcontroller and a raspberry pi 4B, the microcontroller is connected with the electrocardio acquisition module and the pulse acquisition module, and the raspberry pi 4B is connected with the microcontroller;
the microcontroller is used for calculating the electrocardiosignal and the pulse signal and respectively acquiring the heart rate and the blood oxygen saturation;
the raspberry pi 4B is used for acquiring the heart rate and the blood oxygen saturation and outputting the heart rate and the blood oxygen saturation to the display module.
6. The raspberry pi based physiological parameter monitoring system of claim 5,
the microcontroller comprises a heart rate calculator and a blood oxygen saturation calculator;
the heart rate calculator is used for calculating the heart rate based on the electrocardiosignals;
the blood oxygen saturation calculator is used for calculating the blood oxygen saturation based on the pulse signal.
7. The raspberry pi based physiological parameter monitoring system of claim 6,
the heart rate calculator comprises an acquisition unit, a difference unit, an absolute value unit, a search unit, a positioning unit and a heart rate calculation unit, wherein the acquisition unit, the difference unit, the absolute value unit, the search unit, the positioning unit and the heart rate calculation unit are sequentially connected;
the acquisition unit is used for continuously acquiring the electrocardiosignals;
the difference unit is used for calculating a first-order difference;
the absolute value unit is used for calculating the absolute value of the electrocardiosignal after the first-order difference;
the searching unit is used for searching a waveform peak point;
the positioning unit is used for positioning the R wave;
the heart rate calculating unit is used for calculating the heart rate.
8. The raspberry pi based physiological parameter monitoring system of claim 6,
the oxyhemoglobin saturation calculator comprises a collecting unit, an inversion unit, a normalization unit, a mean value unit and an oxyhemoglobin saturation calculating unit, wherein the collecting unit, the inversion unit, the normalization unit, the mean value unit and the oxyhemoglobin saturation calculating unit are sequentially connected;
the acquisition unit is used for acquiring red light PPG signals and infrared light PPG signals;
the inversion unit is used for removing direct current signals in the red light PPG signals and the infrared light PPG signals and inverting the signals;
the normalization unit is used for acquiring peak and trough values in the red light PPG signal and the infrared light PPG signal and normalizing the peak and trough values;
the mean value unit is used for obtaining the mean value of the red light PPG signal and the infrared light PPG signal to obtain a red light mean value and an infrared light mean value;
the blood oxygen saturation calculation unit is used for calculating the blood oxygen saturation based on the red light mean value and the infrared light mean value.
9. A finger clip probe applied to the raspberry pi based physiological parameter monitoring system as claimed in claim 2,
the device comprises a supporting component, an adjusting component and a measuring component, wherein the supporting component comprises a lower clamping plate, an upper clamping plate, a compression spring, a sliding plate, a rotating rod and a supporting plate, the supporting plate is fixedly connected with the lower clamping plate and is positioned on one side of the lower clamping plate, the sliding plate is slidably connected with the supporting plate and is positioned on one side of the supporting plate, the rotating rod is rotatably connected with the sliding plate and is positioned on one side of the sliding plate, the upper clamping plate is fixedly connected with the rotating rod and is positioned on one side of the lower clamping plate, and the compression spring is arranged between the upper clamping plate and the sliding plate; the adjusting assembly comprises an adjusting rod and a stabilizing spring, the adjusting rod is in threaded connection with the sliding plate and is in rotating connection with the lower clamping plate, the stabilizing spring is arranged between the sliding plate and the lower clamping plate, the measuring assembly comprises two infrared sensors, and the two infrared sensors are respectively arranged on the upper clamping plate and the lower clamping plate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111526304.8A CN114052682B (en) | 2021-12-14 | 2021-12-14 | Physiological parameter monitoring system based on raspberry group |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111526304.8A CN114052682B (en) | 2021-12-14 | 2021-12-14 | Physiological parameter monitoring system based on raspberry group |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114052682A true CN114052682A (en) | 2022-02-18 |
| CN114052682B CN114052682B (en) | 2023-10-24 |
Family
ID=80229477
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111526304.8A Active CN114052682B (en) | 2021-12-14 | 2021-12-14 | Physiological parameter monitoring system based on raspberry group |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114052682B (en) |
Citations (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004187885A (en) * | 2002-12-10 | 2004-07-08 | Colin Medical Technology Corp | Arteriosclerosis evaluation device |
| DE202005015146U1 (en) * | 2005-09-26 | 2006-02-09 | Health & Life Co., Ltd., Chung-Ho | Stable pressure relief device for an electronic blood pressure measuring instrument has connecting element with a seal exhibiting a pump and an impulse sensor |
| CN2766772Y (en) * | 2005-01-14 | 2006-03-29 | 孙汉钧 | Human body health information monitoring sensor and apparatus thereof |
| EP2218392A1 (en) * | 2009-02-16 | 2010-08-18 | Roche Diagnostics GmbH | Piercing system |
| JP2010264112A (en) * | 2009-05-15 | 2010-11-25 | Konica Minolta Sensing Inc | Biological information measuring probe |
| CN202714854U (en) * | 2012-08-02 | 2013-02-06 | 深圳市邦健电子有限公司 | Photoelectric detection circuit, blood oxygen probe and monitor |
| CN103082999A (en) * | 2013-01-14 | 2013-05-08 | 中民康明通信科技（北京）有限公司 | Human health remote mobile communication monitoring system |
| CN103263271A (en) * | 2013-05-27 | 2013-08-28 | 天津点康科技有限公司 | Non-contact automatic blood oxygen saturation degree measurement system and measurement method |
| CN103549942A (en) * | 2013-10-31 | 2014-02-05 | 广州视源电子科技股份有限公司 | Method for identifying pulse rate and blood oxygen saturation through optical signal |
| CN103793690A (en) * | 2014-01-27 | 2014-05-14 | 天津科技大学 | Human body biotic living body detection method based on subcutaneous bloodstream detection and application |
| CN204600497U (en) * | 2015-04-29 | 2015-09-02 | 南通大学附属医院 | A kind of arterial blood drawing pin |
| CN204971306U (en) * | 2015-07-28 | 2016-01-20 | 中国人民解放军第四军医大学 | Adjustable blood oxygen saturability detection presss from both sides |
| CN105411606A (en) * | 2016-01-08 | 2016-03-23 | 赵晓玲 | Medical blood oxygen saturation measurement system |
| CN205234511U (en) * | 2015-11-26 | 2016-05-18 | 江苏盖睿健康科技有限公司 | Blood oxygen tester |
| CN205433676U (en) * | 2015-12-24 | 2016-08-10 | 桂林电子科技大学 | Portable many physiological parameters of human body detector based on raspberry group |
| WO2016203853A1 (en) * | 2015-06-17 | 2016-12-22 | 株式会社 日立ハイテクノロジーズ | Blood collector |
| CN106510659A (en) * | 2016-10-27 | 2017-03-22 | 北京雷致科技有限公司 | Blood oxygen and heart rate measuring method, measuring device and measuring system |
| CN107095665A (en) * | 2017-06-26 | 2017-08-29 | 四川长虹电器股份有限公司 | A kind of rate calculation method based on electrocardiosignal |
| CN107440705A (en) * | 2016-05-30 | 2017-12-08 | 高鹏 | A kind of Low Power Consumption Portable electrocardiogram monitor system |
| CN109171764A (en) * | 2018-10-24 | 2019-01-11 | 重庆科技学院 | A kind of SCM Based blood oxygen detection method |
| CN110141230A (en) * | 2019-04-24 | 2019-08-20 | 陕西省人民医院 | Anesthesia depth monitoring device and anesthesia depth monitoring method |
| CN110811571A (en) * | 2019-12-27 | 2020-02-21 | 刘学琴 | Portable traditional Chinese medicine diagnostic instrument |
| CN210383903U (en) * | 2019-06-19 | 2020-04-24 | 赵凤 | Blood oxygen saturation probe fixing device |
| CN111528813A (en) * | 2020-04-24 | 2020-08-14 | 中国人民解放军总医院第四医学中心 | Portable wrist type multi-physiological information real-time detection wireless system |
| CN211381321U (en) * | 2017-10-26 | 2020-09-01 | 赵宸彬 | Portable heart rate monitoring feedback system |
| CN211583118U (en) * | 2019-10-17 | 2020-09-29 | 河南省中医药研究院附属医院 | Novel blood pressure pulse detection that clinical medicine used device |
| CN211723183U (en) * | 2020-03-04 | 2020-10-23 | 梁涛 | Blood oxygen probe with good comfort level |
| CN111803172A (en) * | 2020-08-14 | 2020-10-23 | 上海长海医院 | Spinning formula intelligence tourniquet |
| CN212322616U (en) * | 2020-03-04 | 2021-01-08 | 青岛北方原野乐器有限公司 | Pressure-adjustable guitar tonal modification and tuning clamp |
| CN112710212A (en) * | 2020-12-21 | 2021-04-27 | 重庆江增船舶重工有限公司 | Machining and detecting method for improving detection efficiency of floating sleeve inner hole oil wedge |
| CN213155899U (en) * | 2020-08-03 | 2021-05-11 | 厦门易派电子科技有限公司 | Finger-clipped pulse oximeter |
| CN112842300A (en) * | 2021-02-04 | 2021-05-28 | 深圳市奥生科技有限公司 | Multifunctional multi-parameter physiological parameter monitor and control method |
| CN113712545A (en) * | 2021-08-24 | 2021-11-30 | 陈觉爱 | Direct insertion type long-line pulse blood oxygen probe |
| CN214965617U (en) * | 2021-03-24 | 2021-12-03 | 深圳市鑫康电子科技有限公司 | Easily-replaceable pulse oxyhemoglobin saturation probe |
-
2021
- 2021-12-14 CN CN202111526304.8A patent/CN114052682B/en active Active
Patent Citations (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004187885A (en) * | 2002-12-10 | 2004-07-08 | Colin Medical Technology Corp | Arteriosclerosis evaluation device |
| CN2766772Y (en) * | 2005-01-14 | 2006-03-29 | 孙汉钧 | Human body health information monitoring sensor and apparatus thereof |
| DE202005015146U1 (en) * | 2005-09-26 | 2006-02-09 | Health & Life Co., Ltd., Chung-Ho | Stable pressure relief device for an electronic blood pressure measuring instrument has connecting element with a seal exhibiting a pump and an impulse sensor |
| EP2218392A1 (en) * | 2009-02-16 | 2010-08-18 | Roche Diagnostics GmbH | Piercing system |
| JP2010264112A (en) * | 2009-05-15 | 2010-11-25 | Konica Minolta Sensing Inc | Biological information measuring probe |
| CN202714854U (en) * | 2012-08-02 | 2013-02-06 | 深圳市邦健电子有限公司 | Photoelectric detection circuit, blood oxygen probe and monitor |
| CN103082999A (en) * | 2013-01-14 | 2013-05-08 | 中民康明通信科技（北京）有限公司 | Human health remote mobile communication monitoring system |
| CN103263271A (en) * | 2013-05-27 | 2013-08-28 | 天津点康科技有限公司 | Non-contact automatic blood oxygen saturation degree measurement system and measurement method |
| CN103549942A (en) * | 2013-10-31 | 2014-02-05 | 广州视源电子科技股份有限公司 | Method for identifying pulse rate and blood oxygen saturation through optical signal |
| CN103793690A (en) * | 2014-01-27 | 2014-05-14 | 天津科技大学 | Human body biotic living body detection method based on subcutaneous bloodstream detection and application |
| CN204600497U (en) * | 2015-04-29 | 2015-09-02 | 南通大学附属医院 | A kind of arterial blood drawing pin |
| WO2016203853A1 (en) * | 2015-06-17 | 2016-12-22 | 株式会社 日立ハイテクノロジーズ | Blood collector |
| CN204971306U (en) * | 2015-07-28 | 2016-01-20 | 中国人民解放军第四军医大学 | Adjustable blood oxygen saturability detection presss from both sides |
| CN205234511U (en) * | 2015-11-26 | 2016-05-18 | 江苏盖睿健康科技有限公司 | Blood oxygen tester |
| CN205433676U (en) * | 2015-12-24 | 2016-08-10 | 桂林电子科技大学 | Portable many physiological parameters of human body detector based on raspberry group |
| CN105411606A (en) * | 2016-01-08 | 2016-03-23 | 赵晓玲 | Medical blood oxygen saturation measurement system |
| CN107440705A (en) * | 2016-05-30 | 2017-12-08 | 高鹏 | A kind of Low Power Consumption Portable electrocardiogram monitor system |
| CN106510659A (en) * | 2016-10-27 | 2017-03-22 | 北京雷致科技有限公司 | Blood oxygen and heart rate measuring method, measuring device and measuring system |
| CN107095665A (en) * | 2017-06-26 | 2017-08-29 | 四川长虹电器股份有限公司 | A kind of rate calculation method based on electrocardiosignal |
| CN211381321U (en) * | 2017-10-26 | 2020-09-01 | 赵宸彬 | Portable heart rate monitoring feedback system |
| CN109171764A (en) * | 2018-10-24 | 2019-01-11 | 重庆科技学院 | A kind of SCM Based blood oxygen detection method |
| CN110141230A (en) * | 2019-04-24 | 2019-08-20 | 陕西省人民医院 | Anesthesia depth monitoring device and anesthesia depth monitoring method |
| CN210383903U (en) * | 2019-06-19 | 2020-04-24 | 赵凤 | Blood oxygen saturation probe fixing device |
| CN211583118U (en) * | 2019-10-17 | 2020-09-29 | 河南省中医药研究院附属医院 | Novel blood pressure pulse detection that clinical medicine used device |
| CN110811571A (en) * | 2019-12-27 | 2020-02-21 | 刘学琴 | Portable traditional Chinese medicine diagnostic instrument |
| CN211723183U (en) * | 2020-03-04 | 2020-10-23 | 梁涛 | Blood oxygen probe with good comfort level |
| CN212322616U (en) * | 2020-03-04 | 2021-01-08 | 青岛北方原野乐器有限公司 | Pressure-adjustable guitar tonal modification and tuning clamp |
| CN111528813A (en) * | 2020-04-24 | 2020-08-14 | 中国人民解放军总医院第四医学中心 | Portable wrist type multi-physiological information real-time detection wireless system |
| CN213155899U (en) * | 2020-08-03 | 2021-05-11 | 厦门易派电子科技有限公司 | Finger-clipped pulse oximeter |
| CN111803172A (en) * | 2020-08-14 | 2020-10-23 | 上海长海医院 | Spinning formula intelligence tourniquet |
| CN112710212A (en) * | 2020-12-21 | 2021-04-27 | 重庆江增船舶重工有限公司 | Machining and detecting method for improving detection efficiency of floating sleeve inner hole oil wedge |
| CN112842300A (en) * | 2021-02-04 | 2021-05-28 | 深圳市奥生科技有限公司 | Multifunctional multi-parameter physiological parameter monitor and control method |
| CN214965617U (en) * | 2021-03-24 | 2021-12-03 | 深圳市鑫康电子科技有限公司 | Easily-replaceable pulse oxyhemoglobin saturation probe |
| CN113712545A (en) * | 2021-08-24 | 2021-11-30 | 陈觉爱 | Direct insertion type long-line pulse blood oxygen probe |
Non-Patent Citations (4)
| Title |
|---|
| ZHANG, YX (ZHANG YI-XUAN) [1] , [2] ; LIU, L (LIU LU) [3] ; LIU, LP (LIU LI-PING) [1] , [2] ; XU, H (XU HUI) [1] , [2] ; LI, YM (L: "A case of type I Kounis syndrome caused by double allergens", 《CHINESE MEDICAL JOURNAL 》, vol. 133, no. 6, pages 735 - 737 * |
| 付晓萍，陈国荣: "2型糖尿病与高血压病人血脂水平的调查与分析", 《实验与检验医学》, no. 2, pages 240 - 242 * |
| 房磊: "无创血氧饱和度测量系统的设计与实现", pages 18 * |
| 陈国荣, 王小勤, 蔡小东: "米力农微量泵治疗顽固性心力衰竭的疗效", 《实用临床医学》, vol. 14, no. 10, pages 30 - 31 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114052682B (en) | 2023-10-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102302361B (en) | Device for monitoring heart rate and physical state | |
| JP6298063B2 (en) | Wearable heart monitor | |
| CN201127603Y (en) | A hand-held electrocardiogram detector | |
| GB2454960A (en) | Data recording for patient status analysis | |
| Fezari et al. | Microcontroller Based Heart Rate Monitor. | |
| CN102462494A (en) | Novel intelligent electrocardiogram test healthcare apparatus | |
| CN113160921A (en) | Construction method and application of digital human cardiovascular system based on hemodynamics | |
| CN107174225A (en) | A kind of arm belt blood vessel physiologic parameter monitoring device | |
| Nandagopal et al. | Newly constructed real time ECG monitoring system using labview | |
| Kumar et al. | Design and Implementation of Portable health monitoring system using PSOC mixed signal Array chip | |
| CN1073392C (en) | Multiple parameter monitor and its detecting method | |
| KR102592050B1 (en) | A portable ECG electrode and an ECG measurement system for small animals | |
| Krizea et al. | Accurate detection of heart rate and blood oxygen saturation in reflective photoplethysmography | |
| Chen et al. | Unconstrained monitoring of long-term heart and breath rates during sleep | |
| Munnoch et al. | A personal medical device for multi-sensor, remote vital signs collection in the elderly | |
| CN114052682A (en) | A Physiological Parameter Monitoring System Based on Raspberry Pi | |
| CN201394011Y (en) | Multi-parameter telemetering and warding device | |
| CN215959879U (en) | Non-contact sleep monitoring system | |
| Jayadevappa et al. | Design and development of electro-optical system for acquisition of PPG signals for the assessment of cardiovascular system | |
| CN202143625U (en) | Portable multi-parameter collector based on universal serial bus | |
| CN211883783U (en) | High-precision portable electrocardiograph | |
| CN202191296U (en) | Sleep breathing monitor on basis of recording chest abdominal breathing and snoring | |
| Alam et al. | Portable photoplethysmogram acquisition and analysis instrument | |
| Gagnon-Turcotte et al. | Photoplethysmography-based derivation of physiological information using the biopoint | |
| Mahajan et al. | Arduino based portable ECG and PPG signal acquisition system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |