CN111449658A - Sweat data processing method and device and sweat monitor - Google Patents

Abstract

The invention discloses a sweat data processing method, device and sweat monitor. The processing method comprises: receiving a control instruction triggered by a user; controlling the data collector to pass the lactate monitoring electrode, the glucose monitoring electrode, The sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode collect sweat component data; use the processor to process the sweat component data collected by the data collector ; Determine the health status of the user using the sweat monitor. The technical solution of the present application can monitor the sweat component data flowing out of the human epidermis in real time, and the user's health status can be more accurately reflected according to the sweat component data.

Description

Sweat data processing method, device and sweat monitor

technical field

The present invention relates to the technical field of sweat monitoring, and in particular, to a method, a device and a sweat monitor for processing sweat data.

Background technique

With the rapid development of science and technology and the improvement of living standards, the demand for physiological monitoring is also increasing, and the requirements are also increasing. Then the existing monitoring products and methods are often complicated in operation, high in cost, and insufficient in practicability. The monitoring efficiency is not high, and it cannot be worn on the human body to obtain physiological parameter indicators in real time and non-invasively at the molecular level, which cannot well meet the needs of use. Human sweat contains abundant health status signals. Therefore, real-time monitoring of the components in human sweat Information is significant.

SUMMARY OF THE INVENTION

Aiming at the problems and deficiencies in the prior art, the present invention provides a sweat data processing method, a device and a sweat monitor capable of processing sweat component information.

The present invention solves the above-mentioned technical problems through the following technical solutions:

According to a first aspect of the present application, a method for processing sweat data is provided, which is applied to a sweat monitor, wherein the sweat monitor includes a lactic acid monitoring electrode, and the lactic acid monitoring electrode monitors the concentration of lactic acid in sweat;

a glucose monitoring electrode that monitors the glucose concentration in sweat;

a sodium ion monitoring electrode, which monitors the sodium ion concentration in sweat;

a chloride ion monitoring electrode, the chloride ion monitoring electrode monitors the chloride ion concentration in sweat;

a calcium ion monitoring electrode, which monitors the calcium ion concentration in sweat;

Potassium ion monitoring electrode, the potassium ion monitoring electrode monitors the potassium ion concentration in sweat;

A lead wire and a data collector, the data collector communicates with the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode through the lead wire The monitoring electrode is connected to the potassium ion monitoring electrode;

a processor for processing the sweat component data collected by the data collector;

The processing method includes:

Receive user-triggered control instructions;

controlling the sweat group collected by the data collector through the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode sub-data;

using the processor to process the sweat component data collected by the data collector;

Determine the state of health of the user using the sweat monitor.

Optionally, the control of the data collector through the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode Sweat composition data collected by monitoring electrodes, including:

determining the acquisition time period of the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode;

controlling the data collector to pass the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode, and the potassium ion monitoring electrode during the collection period Sweat composition data collected by ion monitoring electrodes.

Optionally, using the processor to process the sweat component data collected by the data collector includes:

determining that the processor processes the sweat component data through signal amplification, noise reduction filtering, and signal conversion;

using the processor to process the sweat component data collected by the data collector during the collection period through signal amplification, noise reduction filtering, and signal conversion;

Optionally, the determining the health status of the user using the sweat monitor includes:

generating a sweat component concentration value by processing the sweat component data collected by the data collector during the collection period by using the processor through signal amplification, noise reduction filtering, and signal conversion;

The health state of the user using the sweat monitor is determined by the sweat component concentration value.

Optionally, the determining the health status of the user using the sweat monitor includes:

determining whether the sweat component concentration value is within the normal sweat component concentration range corresponding to the user;

If the sweat component concentration value is not within the normal sweat component concentration value range corresponding to the user, determine that the user's health status is abnormal;

determining the type of abnormality in the concentration value of the sweat component;

generating an alarm signal according to the abnormality type;

If the sweat component concentration value is within the range of the normal sweat component concentration value corresponding to the user, it is determined that the user's health state is normal.

Optionally, the generating an alarm signal according to the abnormality type includes;

determining the signal type corresponding to the exception type;

An alarm signal corresponding to the signal type is generated.

Optionally: the method further includes:

The sweat component data is sent to the user terminal through wireless communication, so that the user terminal can determine the health state of the user using the sweat monitor according to the sweat component data.

Optionally, the method further includes:

The sweat component data is uploaded to the cloud server by means of wireless communication, so that the user accessing the cloud server can determine the health state of the user using the sweat monitor according to the sweat component data.

According to a second aspect of the present invention, a device for processing sweat data is proposed, which is applied to a sweat monitor, wherein the sweat monitor includes a lactic acid monitoring electrode, and the lactic acid monitoring electrode monitors the lactic acid concentration in sweat; a glucose monitoring electrode, The glucose monitoring electrode monitors the glucose concentration in sweat; the sodium ion monitoring electrode monitors the sodium ion concentration in sweat; the chloride ion monitoring electrode monitors the chloride ion concentration in sweat; a calcium ion monitoring electrode that monitors the concentration of calcium ions in sweat; a potassium ion monitoring electrode that monitors the concentration of potassium ions in sweat; a lead wire and a data collector that collects the data The device is connected with the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode through the lead wire; processing a device, the processor is used to process the sweat component data collected by the data collector; the device also includes:

Acceptance module, used to receive user-triggered instructions;

A control module for controlling the data collector to monitor the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode Sweat component data collected by electrodes;

a processing module for processing sweat component data collected by the data collector using the processor;

A determination module determines the health status of the user using the sweat monitor.

Optionally, the control module includes:

a first determination unit, configured to determine the acquisition time of the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode part;

a first control unit, configured to control the data collector to pass the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the Sweat component data collected by the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode.

Optionally, the processing module includes:

a second determining unit, configured to determine that the processor processes the sweat component data through signal amplification, noise reduction filtering and signal conversion;

a first processing unit, configured to use the processor determined by the second determining unit to process the sweat component data collected by the control module to control the data collector;

Optionally, the determining module includes:

a first generating unit, configured to process, by the processing module, the sweat component data collected by the control module to control the data collector to generate a sweat component concentration value;

A third determination unit, configured to determine the health state of the user who uses the sweat monitor through the sweat component concentration value generated by the first generation unit.

Optionally, the determining module includes:

a fourth determination unit, configured to determine whether the sweat component concentration value is within the normal sweat component concentration range corresponding to the user;

a fifth determination unit, configured to determine that the user's health status is abnormal if the fourth determination unit determines that the sweat component concentration value is not within the range of normal sweat component concentration values corresponding to the user;

a sixth determination unit, used for the abnormal type of the sweat component concentration value determined by the fifth determination unit;

a second generating unit, configured to generate an alarm signal for the abnormal type determined by the fifth determining unit;

A seventh determination unit, configured to determine that the user's health state is normal if the fourth determination unit determines that the sweat component concentration values are all within the range of normal sweat component concentration values corresponding to the user.

Optionally, the second generating unit includes:

a determination subunit, configured to determine a signal type corresponding to the abnormal type determined by the sixth determination unit;

A generating subunit is configured to generate an alarm signal corresponding to the signal type determined by the determining subunit.

Optionally, the device further includes:

a first sending module, configured to send the sweat component data processed by the processing module to a user terminal through wireless communication, so that the user terminal can determine the user using the sweat monitor according to the sweat component data health status.

Optionally, the device further includes:

The second sending module is configured to upload the sweat component data processed by the processing module to the cloud server through wireless communication, so that users accessing the cloud server can determine to use the sweat according to the sweat component data Monitor the user's health status.

According to a third aspect of the present invention, a sweat monitor is proposed, applied on the surface of the human body, the sweat monitor includes a lactic acid monitoring electrode, the lactic acid monitoring electrode monitors the lactic acid concentration in sweat; a glucose monitoring electrode, the glucose monitoring electrode The electrode monitors the glucose concentration in sweat; the sodium ion monitoring electrode, the sodium ion monitoring electrode monitors the sodium ion concentration in sweat; the chloride ion monitoring electrode, the chloride ion monitoring electrode monitors the chloride ion concentration in the sweat; the calcium ion monitoring electrode , the calcium ion monitoring electrode monitors the calcium ion concentration in sweat; the potassium ion monitoring electrode, the potassium ion monitoring electrode monitors the potassium ion concentration in sweat; the lead wire and the data collector, the data collector passes through the The lead wire is connected with the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode; the processor, the The processor is configured to process the sweat component data collected by the data collector; the sweat monitor includes a device for processing sweat data provided above, and the device for processing sweat data executes the process method for sweat data provided above.

On the basis of conforming to common knowledge in the art, the above preferred conditions can be combined arbitrarily to obtain preferred examples of the present invention.

The positive progressive effect of the present invention is:

The application can be applied to the surface of the human body to achieve the purpose of being easy to carry and monitor in real time. The sweat monitor can monitor the lactic acid concentration value, glucose concentration value, sodium ion concentration value, chloride ion concentration value, calcium ion concentration value, The potassium ion concentration value can more accurately reflect the user's health status through the monitored physiological indicators.

Description of drawings

FIG. 1 is a schematic structural diagram of a sweat monitor according to an exemplary embodiment of the present invention;

2 is a schematic flowchart of a method for processing sweat data according to an exemplary embodiment of the present invention;

3 is a schematic flowchart of a method for processing sweat data according to yet another exemplary embodiment of the present invention;

4 is a schematic flowchart of a method for processing sweat data according to yet another exemplary embodiment of the present invention;

5 is a schematic structural diagram of a device for processing sweat data according to an exemplary embodiment of the present invention;

6 is a schematic structural diagram of a device for processing sweat data according to yet another exemplary embodiment of the present invention;

FIG. 7 is a schematic structural diagram of a device for processing sweat data according to yet another exemplary embodiment of the present invention.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as recited in the appended claims.

The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a," "the," and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It will also be understood that the term "and/or" as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, such information should not be limited by these terms. These terms are only used to distinguish the same type of information from each other. For example, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information without departing from the scope of the present application. Depending on the context, the word "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determining."

To further illustrate the present application, the following examples are provided.

According to a first aspect of the present disclosure, a sweat monitor is provided. As shown in FIG. 1 , the sweat monitor is applied on the surface of a human body, and the sweat monitor is provided with: a lactic acid monitoring electrode 112, and the lactic acid monitoring electrode 112 monitors the concentration of lactic acid in sweat; The glucose monitoring electrode 111, the glucose monitoring electrode 111 monitors the glucose concentration in sweat; the sodium ion monitoring electrode 115, the sodium ion monitoring electrode 115 monitors the sodium ion concentration in sweat; the chloride ion monitoring electrode 116, the chloride ion monitoring electrode 116 monitors the sweat concentration. chloride ion concentration; calcium ion monitoring electrode 114, calcium ion monitoring electrode 114 monitors calcium ion concentration in sweat; potassium ion monitoring electrode 113, potassium ion monitoring electrode 113 monitors potassium ion concentration in sweat; lead wire 120 and data collector 130. The data collector 130 is connected to the lactate monitoring electrode 112, the glucose monitoring electrode 111, the sodium ion monitoring electrode 115, the chloride ion monitoring electrode 116, the calcium ion monitoring electrode 114 and the potassium ion monitoring electrode 113 through the lead wire 120, and the processor 140 , the processor 140 is used for processing the sweat component data collected by the data collector 130 . The sweat monitor provided by the present application may include the sweat data processing apparatus according to any of the following embodiments in FIGS. 5 to 7 , and the sweat data processing apparatus may perform the sweat data processing according to any of the following embodiments in FIGS. 2 to 4 . For the processing method, the specific device structure and the method flow, please refer to the description of the following embodiments.

Those skilled in the art can understand that the lactic acid monitoring electrode 112, the glucose monitoring electrode 111, the sodium ion monitoring electrode 115, the chloride ion monitoring electrode 116, the calcium ion monitoring electrode 114 and the potassium ion monitoring electrode 113 are made by photolithography, electrochemical deposition and The flexible and extensible electrode obtained by chemical modification can refer to patent CN201811508757.6 for the preparation method. The processor 140 and the data collector 130 are integrated on the surface of the flexible circuit board. Ultra-thin polymer battery, the thickness of the battery is only 0.4mm, and it can be bent. Therefore, the sweat monitor is small in size, easy to carry, and can be applied to the human epidermis.

In addition, the sweat monitor further includes a communicator 150, the communicator 150 is integrated on the surface of the flexible circuit board, and the collected and processed sweat component data is sent to a user terminal (eg, a mobile phone, a tablet computer, etc.) through the communicator 150 for The user terminal generates the sweat component concentration value according to the sweat component data collected by the sweat monitor and determines the user's physical health status.

The present application adopts the sweat monitor of small size, which is easy to carry and can be attached to the human epidermis during use. It is provided with a lactic acid monitoring electrode 112, a glucose monitoring electrode 111, a sodium ion monitoring electrode 115, a chloride ion monitoring electrode 116, and a calcium ion monitoring electrode. The electrode 114 and the potassium ion monitoring electrode 113 can monitor the composition data of human sweat, and can analyze the health status of the human body in multiple directions, thus enriching the health information data. For workers with accumulated movement and special operators working in high heat environments, physiological indicators in sweat can be analyzed, such as lactate concentration, glucose concentration, potassium ion concentration, calcium ion concentration, sodium ion concentration and chlorine concentration. The ion concentration value can be judged whether there is heat stroke and excessive fatigue, etc., which can reduce the occurrence rate of work accidents and ensure the safety of workers. For exercisers, by analyzing the physiological indicators in sweat to prevent collapse and physical discomfort caused by transition training, it can assist in providing more reasonable training plans and methods.

According to the second aspect of the present disclosure, a sweat data processing method is provided, as shown in FIG. 2 , and the present embodiment is exemplarily described with reference to FIG. 1 , including the following steps:

Step 210: Receive an instruction triggered by the user to activate the sweat monitor.

In step 210, the user activates the sweat monitor by turning on the switch button provided on the sweat monitor, so that the sweat monitor starts to work.

Step 220 : Control the sweat component data collected by the data collector 130 through the lactic acid monitoring electrode 112 , the glucose monitoring electrode 111 , the sodium ion monitoring electrode 115 , the chloride ion monitoring electrode 116 , the calcium ion monitoring electrode 114 and the potassium ion monitoring electrode 113 .

In step 220 : as shown in FIG. 1 , after the sweat monitor starts to work, because the data collector 130 communicates with the lactate monitoring electrode 112 , the glucose monitoring electrode 111 , the sodium ion monitoring electrode 115 and the chloride ion monitoring electrode 116 through the lead wire 120 , the calcium ion monitoring electrode 114 is connected to the potassium ion monitoring electrode 113, and the data collector 130 can be controlled to pass the lactic acid monitoring electrode 112, the glucose monitoring electrode 111, the sodium ion monitoring electrode 115, the chloride ion monitoring electrode 116, the calcium ion monitoring electrode 114 and the potassium ion monitoring electrode 115. Ion monitoring electrodes 113 collect sweat composition data.

Step 230 : Process the sweat composition data collected by the data collector 130 using the processor 140 .

In step 230 : as shown in FIG. 1 , the sweat component data collected by the data collector 130 is transmitted to the processor 140 for processing, and the processing method can be referred to FIG. 3 , which will not be described in detail here.

Step 240: Determine the health status of the user using the sweat monitor.

In step 240, reference may be made to FIG. 3 and FIG. 4 for the method of determining the health state of the user using the sweat monitor, which will not be described in detail here.

As shown in FIG. 3 , this embodiment is illustratively described with reference to FIG. 1 , including the following steps:

Step 310: Receive a user-triggered instruction to activate the sweat monitor.

In step 310, the user activates the sweat monitor by turning on the switch button provided on the sweat monitor, so that the sweat monitor starts to work.

Step 320: Determine the acquisition time period of the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode, and the potassium ion monitoring electrode.

In step 320, in order to make the collected data more pertinent and avoid collecting too much useless sweat composition data to interfere with the sweat composition data required by the user, a collection time period may be set before starting to collect sweat composition data. There are various time forms for collecting data. It can be set to collect for a long time when needed, it can also be set to collect at a certain fixed time period every day, and it can also be collected in segments when it is used for a long time. For example, when you need to exercise and perform high-temperature work, you can set it to collect data for a long time, or you can collect data in the time period when you get up every morning, or to avoid high power consumption caused by long-term work, you can set component time period collection to reduce power consumption. consumption.

Step 330: Control the data collector to collect sweat component data through the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode during the collection time period.

Step 340: Use the processor to process the sweat component data collected by the data collector during the collection period through signal amplification, noise reduction filtering, and signal conversion, and step 341, step 342, and step 343 may be performed after this step.

In step 340, use the processor 140 to process the sweat component data collected by the data collector 130 during the collection time period through signal amplification, noise reduction filtering and signal conversion. Amplify the small signal, otherwise the weak small signal will be overwhelmed by environmental noise and other electromagnetic interference and become useless signals. The amplified weak small signal will be subject to power frequency signal and electromagnetic interference, as well as the clutter signal brought by the acquisition process. These clutter signals and interference are removed by noise reduction filtering to improve signal quality. The signals collected by the lactic acid monitoring electrode 112 and the glucose monitoring electrode 111 are current signals in the form of current, and the signals collected by the sodium ion monitoring electrode 115, the chloride ion monitoring electrode 116, the calcium ion monitoring electrode 114 and the potassium ion monitoring electrode 113 are in the form of voltage. These signals are analog signals that are inconvenient to be processed and transmitted, and the current signals and voltage signals are converted into digital signals through signal conversion, which is convenient for processing and sending the collected signals.

Step 340: Generate sweat component concentration values from the sweat component data.

In step 340, before use, the linear relationship between the collected current signal or voltage signal and the concentration is found through calibration. Through this linear relationship, the signals collected by the user through the lactate monitoring electrode 112 and the glucose monitoring electrode 111 are The current signal in the form of current, the current signal and the voltage signal collected in real time by the sodium ion monitoring electrode 115, the chloride ion monitoring electrode 116, the calcium ion monitoring electrode 114 and the potassium ion monitoring electrode 113 are converted into corresponding concentration values. For example, before use, the linear relationship between the current value of the lactic acid monitoring electrode 112 and the lactic acid concentration value when the lactic acid monitoring electrode 112 is used has been determined through a large number of experiments. When the calibration is completed, when the lactic acid monitoring electrode 112 is used, the current value measured in real time becomes a real-time digital value after processing, and the real-time digital value is converted into a real-time concentration value through the linear relationship of calibration.

Step 343: Determine the health state of the user using the sweat monitor through the concentration value of the sweat component.

In step 343, the health state of the user using the sweat monitor is determined through the concentration value of the sweat component, and reference may be made to FIG. 4, which will not be described in detail here.

Step 342: Upload the processed sweat component data to the cloud server through wireless communication, so that the user accessing the cloud server can determine the health state of the user using the sweat monitor according to the sweat component data.

In step 342, the processed sweat component data is uploaded to the cloud server by means of wireless communication with the communicator 150, so that the user accessing the cloud server can determine the use of sweat based on the sweat component concentration value generated by the sweat component data Monitor the user's health status. More value-added services can also be provided for users who use sweat monitors. For example, medical experts can determine the user's health status based on the data, and propose treatment plans or health advice.

Step 341: Send the processed sweat component data to the user terminal through wireless communication, so that the user terminal can determine the health state of the user using the sweat monitor according to the sweat component data.

In step 341, the processed sweat component data can be sent to the user terminal by wireless communication through the communicator 150, so that the user terminal can determine the health state of the user using the sweat monitor according to the sweat component data. The device 150 can be a low-power bluetooth module, a ziggbee module, a 2G module, etc. The user terminal can generate sweat concentration data according to the sweat composition data and determine the user's physical health status, and the user terminal can also upload the sweat composition data to the cloud. Server to provide more value-added services to users wearing clothes.

As shown in FIG. 4 , this embodiment is illustratively described in conjunction with FIG. 1 and FIG. 3 , including the following steps:

Step 410: Receive an instruction triggered by the user.

Step 420: Control the data collector to collect sweat component data through the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode, and the potassium ion monitoring electrode.

Step 430: Use the processor to process the sweat component data collected by the data collector.

Step 440: Determine whether the sweat component concentration value is within the normal sweat component concentration range corresponding to the user. Steps 441 and 445 may be performed after this step.

In step 440, the sweat monitor obtains sweat component data through lactic acid monitoring electrode 112 and glucose monitoring electrode 111, sodium ion monitoring electrode 115, chloride ion monitoring electrode 116, calcium ion monitoring electrode 114 and potassium ion monitoring electrode 113, respectively, After processing, the corresponding real-time lactic acid concentration value, glucose concentration value, sodium ion concentration value, chloride ion concentration value, calcium ion concentration value and potassium ion concentration value in sweat are obtained. The lactate concentration value, glucose concentration value, sodium ion concentration value, chloride ion concentration value, calcium ion concentration value and potassium ion concentration value in each person's sweat are maintained within a certain range, as long as they do not exceed the upper threshold of the range and are not lower than The lower threshold of the range, the person is healthy.

For example, the sodium ion concentration value in the sweat of a healthy user will always be maintained within a certain range. If the sodium ion concentration value monitored by the sweat monitor exceeds the upper threshold of the range or falls below the lower threshold of the range, it can be determined that the user is unhealthy of. Since the ranges of lactate concentration, glucose concentration, sodium ion concentration, chloride ion concentration, calcium ion concentration and potassium ion concentration in the sweat of each healthy person will be different, the sweat monitor can be preset for the user The normal range of sweat component concentration values. The range of normal sweat component concentration values for the user can be determined by testing within the testing period and stored. In subsequent monitoring, the user's health state can be determined according to the user's normal sweat component concentration value range.

Step 441: Determine that the user's health state is abnormal.

In step 441, one or more or all of the lactate concentration value, glucose concentration value, sodium ion concentration value, chloride ion concentration value, calcium ion concentration value and potassium ion concentration value are not within the normal sweat component concentration value range, It is determined that the user's health status is abnormal.

Step 442: Determine the abnormal type of sweat component concentration value.

In step 442, the abnormal type includes lactate concentration value, glucose concentration value, sodium ion concentration value, chloride ion concentration value, calcium ion concentration value and potassium ion concentration value, one or more or all of which are not in normal sweat component concentration value within the range.

Step 443: Determine the signal type corresponding to the exception type.

In step 443, if the lactic acid concentration value is not within the normal sweat component concentration value range, the preset yellow light will be on, if it exceeds the upper threshold of the range, the yellow light will always be on, if it is below the lower threshold of the range, The yellow light will keep flashing. If the glucose concentration value is not within the normal sweat component concentration value range, the preset red light will be on. If it exceeds the upper threshold of the range, the red light will always be on. If it is below the lower threshold of the range, the red light will be on. will keep flashing. If the chloride ion concentration value is not within the normal sweat component concentration value range, the preset green light will be on. If it exceeds the upper threshold of the range, the green light will always be on. If it is below the lower threshold of the range, the green light will always be on. flashing. If the potassium ion concentration value is not within the normal sweat component concentration value range, the preset purple light will be on. If it exceeds the upper threshold of the range, the purple light will always be on, and if it is below the lower threshold of the range, the purple light will always be on. flashing. If the sodium ion concentration value is not within the normal sweat component concentration value range, the preset blue light will be on. If it exceeds the upper threshold of the range, the blue light will always be on. If it is below the lower threshold of the range, the blue light will always be on. flashing. If the calcium ion concentration value is not within the range of normal sweat component concentration value, the preset white light will be on. If it exceeds the upper threshold of the range, the white light will always be on. If it is below the lower threshold of the range, the yellow and white light will always be on. flashing. If many of the lactate concentration, glucose concentration, sodium ion concentration, chloride ion concentration, calcium ion concentration and potassium ion concentration are not within the normal sweat component concentration range, the corresponding indicator light will be on, on The starting state is related to the state of the corresponding concentration value. If the lactate concentration value, glucose concentration value, sodium ion concentration value, chloride ion concentration value, calcium ion concentration value and potassium ion concentration value are not within the range of normal sweat component concentration value, the corresponding indicator lights will all light up, and the lighted The state is related to the state of the corresponding concentration value.

Step 444: Generate an alarm signal corresponding to the signal type.

In step 444, after the type of the alarm signal is determined, the alarm signal can be generated. For example: if the sodium ion concentration is not within the normal range of the concentration of sweat components, the preset blue light will be on. If it exceeds the upper threshold of the range, the blue light will always be on. If it is below the lower threshold of the range, the blue light will be on. The light will keep flashing.

Step 445: Determine that the user's health status is normal.

In step 445, the lactate concentration value, the glucose concentration value, the sodium ion concentration value, the chloride ion concentration value, the calcium ion concentration value and the potassium ion concentration value are all within the normal sweat component concentration value range, and the corresponding indicator light will not be on From then on, it is determined that the user's health status is normal.

According to a third aspect of the present disclosure, a device for processing sweat data is provided, which is applied to a sweat monitor. The sweat monitor includes a lactic acid monitoring electrode, which monitors the concentration of lactic acid in sweat; and a glucose monitoring electrode, which monitors sweat. Glucose concentration in sweat; sodium ion monitoring electrode, sodium ion monitoring electrode to monitor sodium ion concentration in sweat; chloride ion monitoring electrode, chloride ion monitoring electrode to monitor chloride ion concentration in sweat; calcium ion monitoring electrode, calcium ion monitoring electrode to monitor sweat calcium ion concentration in sweat; potassium ion monitoring electrode, potassium ion monitoring electrode monitoring potassium ion concentration in sweat; lead wire and data collector, data collector through lead wire with lactate monitoring electrode, glucose monitoring electrode, sodium ion monitoring The electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode are connected; the processor is used for processing the sweat component data collected by the data collector.

As shown in Figure 5, the device also includes:

an accepting module 510, configured to receive an instruction triggered by a user;

The control module 520 is used to control the sweat component data collected by the data collector through the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode;

a processing module 530, configured to use the processor to process the sweat component data collected by the data collector;

A determination module 540 determines the health status of the user using the sweat monitor.

As shown in FIG. 6 , this embodiment is exemplified in conjunction with FIG. 5 ,

In one embodiment, the control module 520 includes:

The first determination unit 521 is used to determine the acquisition time period of the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode;

The first control unit 522 is configured to control the data collector to pass the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode within the collection time period determined by the first determining unit 521 Sweat composition data collected by the monitoring electrodes.

In one embodiment, the processing module 530 includes:

The second determination unit 531 is configured to determine that the processor processes the sweat component data through signal amplification, noise reduction filtering and signal conversion;

a first processing unit 532, configured to use the processor determined by the second determining unit 531 to process the sweat component data collected by the control module 520 to control the data collector;

In one embodiment, the determining module 540 includes:

The first generating unit 541 is configured to generate the sweat component concentration value from the sweat component data collected by the processing module 530 and the control module 520 controlled by the data collector during the collection time period;

The third determining unit 542 is configured to determine the health state of the user using the sweat monitor through the sweat component concentration value generated by the first generating unit 541 .

In one embodiment, the apparatus further includes:

The first sending module 550 is configured to send the sweat component data processed by the processing module 530 to the user terminal through wireless communication, so that the user terminal can determine the health state of the user using the sweat monitor according to the sweat component data.

In one embodiment, the apparatus further includes:

The second sending module 560 is configured to upload the sweat component data processed by the processing module 560 to the cloud server by means of wireless communication, so that the user accessing the cloud server can determine the user's status of using the sweat monitor according to the sweat component data. health status.

As shown in FIG. 7 , this embodiment is exemplified in conjunction with FIG. 5 and FIG. 6 .

In one embodiment, the determining module 540 includes:

The fourth determination unit 541 is used to determine whether the sweat component concentration value is within the normal sweat component concentration range corresponding to the user;

The fifth determination unit 542 is configured to determine that the user's health state is abnormal if the fourth determination unit 541 determines that the sweat component concentration value is not within the normal sweat component concentration value range corresponding to the user;

The sixth determination unit 543 is used for the abnormal type of the sweat component concentration value determined by the fifth determination unit 542;

The second generating unit 545 is used for generating an alarm signal for the abnormal type determined by the fifth determining unit 542;

The seventh determination unit 546 is configured to determine that the user's health state is normal if the fourth determination unit 541 determines that the sweat component concentration values are all within the normal sweat component concentration value range corresponding to the user.

In one embodiment, the second generated order is 545 yuan, including:

Determining subunit 5451, for determining the signal type corresponding to the abnormal type determined by the sixth determining unit 543;

The generating subunit 5452 is configured to generate an alarm signal corresponding to the signal type determined by the determining subunit 5451 .

Regarding the apparatus in the above-mentioned embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be described in detail here.

Other embodiments of the present application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses or adaptations of this application that follow the general principles of this application and include common knowledge or conventional techniques in the technical field not disclosed in this application . The specification and examples are to be regarded as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

It should also be noted that the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device comprising a series of elements includes not only those elements, but also Other elements not expressly listed, or which are inherent to such a process, method, article of manufacture, or apparatus are also included. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in the process, method, article of manufacture or apparatus that includes the element.

The above are only preferred embodiments of the present application, and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the protection of the present application. within the range.

Claims (17)

1. A method of sweat data processing, applied to a sweat monitor comprising a lactate monitoring electrode that monitors lactate concentration in sweat;

a glucose monitoring electrode that monitors a glucose concentration in sweat;

a sodium ion monitoring electrode that monitors a concentration of sodium ions in sweat;

a chloride monitoring electrode that monitors a chloride concentration in sweat;

a calcium ion monitoring electrode that monitors a concentration of calcium ions in sweat;

a potassium ion monitoring electrode that monitors potassium ion concentration in sweat;

the data collector is connected with the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode through the lead wires;

a processor that processes sweat component data collected by the data collector;

the processing method comprises the following steps:

s1, receiving a control instruction triggered by a user;

s2, controlling the data collector to collect sweat component data through the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode;

s3, processing the sweat component data collected by the data collector by using the processor;

s4, determining the health status of the user using the sweat monitor.

2. The method of processing sweat data as claimed in claim 1, wherein step S2 includes:

s21, determining the collection time periods of the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode;

s22, controlling the data collector to collect sweat component data through the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode during the collection time period.

3. The method of processing sweat data as claimed in claim 2, wherein step S3 includes:

s31, determining that the processor processes sweat component data through signal amplification, noise reduction filtering and signal conversion;

s32, processing the sweat component data collected by the data collector in the collection time period through signal amplification, noise reduction filtering and signal conversion by using the processor.

4. A method of processing sweat data as claimed in claim 3, wherein step S4 includes:

s41, processing the sweat component data collected by the data collector in the collection time period through signal amplification, noise reduction filtering and signal conversion by using the processor to generate a sweat component concentration value;

s42, determining a health status of a user using the sweat monitor from the sweat component concentration value.

5. The method of processing sweat data of claim 4, wherein step S42 includes:

step S421, determining whether the sweat component concentration value is within a normal sweat component concentration range corresponding to the user;

step S422, if the sweat component concentration value is not in the range of the normal sweat component concentration value corresponding to the user, determining that the health state of the user is abnormal, determining the abnormal type of the sweat component concentration value, and generating an alarm signal according to the abnormal type;

and if the sweat component concentration value is within the range of the normal sweat component concentration value corresponding to the user, determining that the health state of the user is normal.

6. A method of processing sweat data according to claim 5, wherein said generating an alarm signal in accordance with said type of abnormality includes;

determining a signal type corresponding to the abnormal type;

generating an alarm signal corresponding to the signal type.

7. A method of sweat data processing as claimed in claim 1, wherein: the method further comprises the following steps:

s5, sending the sweat component data to a user terminal by wireless communication, for the user terminal to determine a health status of a user using the sweat monitor according to the sweat component data.

8. The method of claim 1, further comprising:

s5', uploading the sweat component data to a cloud server by way of wireless communication for a user accessing the cloud server to determine a health status of the user using the sweat monitor based on the sweat component data.

9. A device for processing sweat data, comprising: for use on a sweat monitor comprising a lactate monitoring electrode for monitoring lactate concentration in sweat; a glucose monitoring electrode for monitoring glucose concentration in sweat; a sodium ion monitoring electrode for monitoring sodium ion concentration in sweat; a chloride monitoring electrode for monitoring chloride concentration in sweat; a calcium ion monitoring electrode for monitoring a concentration of calcium ions in sweat; a potassium ion monitoring electrode for monitoring potassium ion concentration in sweat; the data collector is connected with the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode through the lead wires; a processor for processing sweat component data collected by the data collector;

the device further comprises:

the receiving module is used for receiving a control instruction triggered by a user;

a control module for controlling the data collector to collect sweat component data via the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride monitoring electrode, the calcium ion monitoring electrode, and the potassium ion monitoring electrode;

a processing module for processing sweat component data collected by the data collector using the processor;

a determination module to determine a health status of a user using the sweat monitor.

10. A sweat data processing device according to claim 9, wherein the control module includes:

a first determination unit configured to determine acquisition time periods of the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride monitoring electrode, the calcium ion monitoring electrode, and the potassium ion monitoring electrode;

a first control unit for controlling the data collector to collect sweat component data via the lactate monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride monitoring electrode, the calcium ion monitoring electrode, and the potassium ion monitoring electrode within the collection time period determined by the first determination unit.

11. A sweat data processing device according to claim 10, wherein the processing module includes:

a second determination unit for determining that the processor processes sweat component data by signal amplification, noise reduction filtering and signal conversion;

a first processing unit for processing the control module to control the data collector to collect sweat component data using the processor determined by the second determining unit.

12. A sweat data processing device according to claim 11, wherein the determination module includes:

the first generation unit is used for processing the sweat component data acquired by the control module and controlling the data collector in the acquisition time period by the processing module to generate a sweat component concentration value;

a third determination unit to determine a health status of a user using the sweat monitor from the sweat component concentration value generated by the first generation unit.

13. A sweat data processing device according to claim 12, wherein the determination module includes:

a fourth determination unit to determine whether the sweat component concentration value is within a normal sweat component concentration range corresponding to the user;

a fifth determining unit configured to determine that the health status of the user is abnormal if the fourth determining unit determines that the sweat component concentration value is not within a normal sweat component concentration value range corresponding to the user;

a sixth determining unit for determining the type of abnormality of the sweat component concentration value determined by the fifth determining unit;

a second generating unit, configured to generate an alarm signal according to the abnormality type determined by the fifth determining unit;

a seventh determining unit for determining that the health status of the user is normal if the fourth determining unit determines that the sweat component concentration values are all within a normal sweat component concentration value range corresponding to the user.

14. A sweat data processing device according to claim 13, wherein the second generation unit includes:

a determining subunit, configured to determine a signal type corresponding to the abnormality type determined by the sixth determining unit;

a generating subunit, configured to generate an alarm signal corresponding to the signal type determined by the determining subunit.

15. A sweat data processing device according to claim 9, wherein said device further includes:

the first sending module is used for sending the sweat component data processed by the processing module to a user terminal in a wireless communication mode, so that the user terminal can determine the health state of a user using the sweat monitor according to the sweat component data.

16. A sweat data processing device according to claim 9, wherein said device further includes:

the second sending module is used for uploading the sweat component data processed by the processing module to a cloud server in a wireless communication mode, so that a user accessing the cloud server can determine the health state of the user using the sweat monitor according to the sweat component data.

17. A sweat monitor, characterized by: applied to the surface of a human body, the sweat monitor comprising a lactate monitoring electrode for monitoring the lactate concentration in sweat; a glucose monitoring electrode for monitoring glucose concentration in sweat; a sodium ion monitoring electrode for monitoring sodium ion concentration in sweat; a chloride monitoring electrode for monitoring chloride concentration in sweat; a calcium ion monitoring electrode for monitoring a concentration of calcium ions in sweat; a potassium ion monitoring electrode for monitoring potassium ion concentration in sweat; the data collector is connected with the lactic acid monitoring electrode, the glucose monitoring electrode, the sodium ion monitoring electrode, the chloride ion monitoring electrode, the calcium ion monitoring electrode and the potassium ion monitoring electrode through the lead wires; a processor for processing sweat component data collected by the data collector; the sweat monitor comprising the sweat data processing device of any one of claims 9 to 17, wherein the sweat data processing device performs the sweat data processing method of any one of claims 1 to 8.

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