Methods, equipment and storage media for sweat electrolysis signal balance analysis

Abstract

This invention relates to the field of signal processing technology, and provides a method, device, and storage medium for sweat electrolysis signal balance analysis. The method includes: continuously acquiring the raw electrochemical signal stream of a target electrolyte using the same sweat sensor; after identifying that the user is in a preset baseline physiological state, extracting the signal value of a first time period from the raw electrochemical signal stream; calculating a baseline signal based on the signal value of the first time period; extracting the signal value of a second time period from the raw electrochemical signal stream, and calculating a signal to be compared based on the signal value of the second time period; calculating the relative rate of change or ratio between the signal to be compared and the baseline signal to generate a standardized signal; and obtaining the physiological state level of the target electrolyte based on the standardized signal. By calculating the relative rate of change or ratio of the signal to be compared relative to the baseline signal, a relative comparison strategy is formed, which effectively suppresses interference from non-concentration factors and significantly improves the accuracy of wearable electrolyte monitoring.

Description

Technical Field

[0001] This invention relates to the field of signal processing technology, and in particular to a method, device and storage medium for sweat electrolysis signal balance analysis. Background Technology

[0002] In the field of health monitoring, sweat electrolyte concentration, as a key indicator reflecting the body's hydration state and electrolyte balance, has received widespread attention. Existing physiological monitoring technologies, especially sweat analysis technologies based on wearable devices, focus on directly measuring the absolute concentration of specific electrolyte ions (such as sodium and potassium ions) in sweat. This measurement method essentially relies on the absolute intensity of the electrochemical signal (such as potential or voltammetric signal) at the measurement point and converts it into a concentration value through a calibration curve. However, the absolute intensity of the electrochemical signal is not only modulated by the target ion concentration but is also easily interfered with by various non-concentration factors. For example, changes in sweat secretion rate lead to changes in ion flux at the sensor interface and potential dilution effects; sensor drift itself; and significant differences between individuals and in individual skin conditions all contribute to large fluctuations, low reliability, and poor accuracy in ion concentration readings derived from absolute signal analysis. These factors fail to accurately reflect changes in the body's physiological state, greatly limiting its application in precision health monitoring. Therefore, effectively suppressing interference from non-concentration factors and improving the stability and accuracy of sweat electrolyte monitoring are urgent technical problems to be solved. Summary of the Invention

[0003] This application provides a method, device, and storage medium for sweat electrolysis signal balance analysis. By calculating the relative change rate or ratio of the signal to be compared with the reference signal, a relative comparison strategy is formed to effectively suppress interference from non-concentration factors and significantly improve the accuracy of wearable electrolyte monitoring.

[0004] In a first aspect, embodiments of this application provide a method for analyzing sweat electrolysis signal balance, including: The raw electrochemical signal flow of the target electrolyte is continuously acquired using the same sweat sensor; After identifying that the user is in a preset baseline physiological state, the signal value of the first time period is extracted from the original electrochemical signal stream; Calculate the reference signal based on the signal value of the first time period; The signal value of the second time period is extracted from the original electrochemical signal stream, and the signal to be compared is calculated based on the signal value of the second time period; Calculate the relative rate of change or ratio between the signal to be compared and the reference signal to generate a standardized signal; Based on the standardized signal, the physiological state level of the target electrolyte is obtained, wherein the reference signal is used to characterize the signal baseline containing individual interference factors in the reference physiological state, and the standardized signal is used to suppress interference introduced by non-concentration factors in the original electrochemical signal.

[0005] In one embodiment, the target electrolyte includes sodium ions and potassium ions, and the original electrochemical signal is a potential signal related to the concentration of the target electrolyte.

[0006] In one embodiment, the preset baseline physiological state is determined by one of the following methods: Receive confirmation of instructions sent by the user; Monitor the user's heart rate data and confirm when the heart rate remains below the resting threshold for a first predetermined time. Alternatively, confirmation can be made after a second predetermined initialization phase following detection of the device being worn.

[0007] In one embodiment, the preset baseline physiological state includes the user's resting state, adequate hydration state, or pre-exercise state.

[0008] In one embodiment, calculating the reference signal based on the signal value of the first time period includes: Calculate the average value of all signal values ​​within the first time period and use this average value as the reference signal, or arrange all signal values ​​within the first time period in order and take the median as the reference signal; The calculation of the signal to be compared based on the signal value of the second time period includes: Calculate the average value of all signals within the second time period and use this average value as the signal to be compared, or arrange all signal values ​​within the second time period in order and take the median value as the signal to be compared.

[0009] In one embodiment, the calculation of the relative rate of change between the signal to be compared and the reference signal is expressed as: Si = [St - S0] / S0; where Si represents the relative rate of change between the signal to be compared and the reference signal, S0 represents the reference signal, and St represents the signal to be compared at time t; The calculation of the ratio of the signal to be compared to the reference signal is expressed as follows: Sj = St / S0; where S0 represents the reference signal and St represents the signal to be compared at time t.

[0010] In one embodiment, obtaining the physiological state level of the target electrolyte based on the standardized signal includes: The standardized signal is compared with a predetermined threshold range to obtain the physiological state level of the target electrolyte, where the threshold range corresponds to different physiological state levels.

[0011] Secondly, embodiments of this application provide a sweat electrolysis signal balance analysis device, comprising: The acquisition module is used to continuously acquire the raw electrochemical signal flow of the target electrolyte through the same sweat sensor; The extraction module is used to extract the signal value of the first time period from the original electrochemical signal stream after identifying that the user is in a preset baseline physiological state. The first calculation module is used to calculate the reference signal based on the signal value of the first time period; The second calculation module is used to extract the signal value of the second time period from the original electrochemical signal stream, and calculate the signal to be compared based on the signal value of the second time period; The generation module is used to calculate the relative rate of change or ratio between the signal to be compared and the reference signal, and generate a standardized signal; The module is used to obtain the physiological state level of the target electrolyte based on the standardized signal, wherein the reference signal is used to characterize the signal baseline containing individual interfering factors in the reference physiological state, and the standardized signal is used to suppress interference introduced by non-concentration factors in the original electrochemical signal.

[0012] In one embodiment, the target electrolyte includes sodium ions and potassium ions, and the original electrochemical signal is a potential signal related to the concentration of the target electrolyte.

[0013] In one embodiment, the preset baseline physiological state is determined by one of the following methods: Receive confirmation of instructions sent by the user; Monitor the user's heart rate data and confirm when the heart rate remains below the resting threshold for a first predetermined time. Alternatively, confirmation can be made after a second predetermined initialization phase following detection of the device being worn.

[0014] In one embodiment, the preset baseline physiological state includes the user's resting state, adequate hydration state, or pre-exercise state.

[0015] The first calculation module is specifically used for: Calculate the average value of all signal values ​​within the first time period and use this average value as the reference signal, or arrange all signal values ​​within the first time period in order and take the median as the reference signal; The second calculation module is specifically used for: Calculate the average value of all signals within the second time period and use this average value as the signal to be compared, or arrange all signal values ​​within the second time period in order and take the median value as the signal to be compared.

[0016] In one embodiment, the calculation of the relative rate of change between the signal to be compared and the reference signal is expressed as: Si = [St - S0] / S0; where Si represents the relative rate of change between the signal to be compared and the reference signal, S0 represents the reference signal, and St represents the signal to be compared at time t; The calculation of the ratio of the signal to be compared to the reference signal is expressed as follows: Sj = St / S0; where S0 represents the reference signal and St represents the signal to be compared at time t.

[0017] In one embodiment, the obtaining module is specifically used for: The standardized signal is compared with a predetermined threshold range to obtain the physiological state level of the target electrolyte, where the threshold range corresponds to different physiological state levels.

[0018] Thirdly, embodiments of this application provide an electronic device, including: Memory and processing modules; The memory is used to store computer programs; The processing module is used to execute the computer program and, when executing the computer program, to implement the steps of the sweat electrolysis signal balance analysis method of the first aspect above.

[0019] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program; When the computer program is executed by one or more processing modules, it causes the one or more processing modules to perform the steps of the sweat electrolysis signal balance analysis method of the first aspect above.

[0020] This application provides a method, device, and storage medium for sweat electrolysis signal balance analysis. The method includes: continuously acquiring the raw electrochemical signal stream of a target electrolyte using the same sweat sensor; after identifying a user in a preset baseline physiological state, extracting signal values ​​for a first time period from the raw electrochemical signal stream; calculating a baseline signal based on the signal values ​​for the first time period; extracting signal values ​​for a second time period from the raw electrochemical signal stream, and calculating a signal to be compared based on the signal values ​​for the second time period; calculating the relative rate of change or ratio between the signal to be compared and the baseline signal to generate a standardized signal; and obtaining the physiological state level of the target electrolyte based on the standardized signal. The baseline signal characterizes the signal baseline containing individual interference factors in the baseline physiological state, and the standardized signal suppresses interference introduced by non-concentration factors in the raw electrochemical signal. By calculating the relative rate of change or ratio between the signal to be compared and the baseline signal, a relative comparison strategy is formed that effectively suppresses interference from non-concentration factors, significantly improving the accuracy of wearable electrolyte monitoring. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 A schematic flowchart of the sweat electrolysis signal balance analysis method provided in the embodiments of this application; Figure 2 This is a schematic diagram of the sweat electrolysis signal balance analysis device provided in the embodiments of this application; Figure 3 A schematic block diagram of the sweat electrolysis signal balance analysis device provided in this application embodiment. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0025] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the scope of the application. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0026] It should also be further understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0027] The technical solution provided in this application will be described in detail below with reference to the accompanying drawings.

[0028] Please see Figure 1 , Figure 1 This is a flowchart illustrating the sweat electrolysis signal balance analysis method provided in this application embodiment. The sweat electrolysis signal balance analysis method provided in this application embodiment is implemented by a sweat electrolysis signal balance analysis device. This application embodiment does not limit the sweat electrolysis signal balance analysis device in any way. Specifically, as... Figure 1 As shown, the sweat electrolysis signal balance analysis method includes steps S101 to S104. Details are as follows: S101: Continuously acquire the raw electrochemical signal flow of the target electrolyte through the same sweat sensor.

[0029] Specifically, the sweat electrolysis signal balance analysis device is a wearable device, such as a sweat sensor patch or wristband. It has a built-in working electrode sensitive to specific ions (such as sodium or potassium ions). When the device is worn, this electrode maintains continuous contact with the user's skin to capture secreted sweat.

[0030] As sweat is secreted, the working electrode continuously generates an electrochemical signal related to the target electrolyte concentration. This signal typically manifests as a time-varying potential signal (such as voltage) or current signal. The device continuously records this signal at a certain sampling frequency (e.g., once per minute), thus forming the raw electrochemical signal stream. Specifically, the target electrolyte includes sodium and potassium ions, and the raw electrochemical signal is a potential signal related to the target electrolyte concentration.

[0031] S102: After identifying that the user is in a preset baseline physiological state, extract the signal value of the first time period from the original electrochemical signal stream.

[0032] The core of this step is to establish a personalized signal baseline for subsequent analysis. This baseline is not randomly determined, but rather established under a stable and reproducible benchmark physiological state. The signal values ​​extracted during the first time period under this state effectively reflect the user's baseline level under normal conditions. This baseline level includes the user's unique individual interference factors (such as skin salinity, sweat secretion rate, and skin electrical properties). The first time period is a preset period after the physiological state has stabilized, such as 10 minutes.

[0033] For example, the identification and signal determination of the baseline state can be triggered by one of the following methods: The system receives and confirms commands actively sent by the user through a terminal application, continuously monitors the user's heart rate data, and confirms when the user's heart rate remains below the resting heart rate threshold for a first predetermined time, or after detecting that the device is being worn, confirms after a second predetermined initialization phase and once the signal stabilizes. The preset baseline physiological states include the user's resting state, adequate hydration state, or pre-exercise state.

[0034] S103: Calculate the reference signal based on the signal value of the first time period.

[0035] Specifically, this step uses a data aggregation algorithm to aggregate multiple signal values ​​extracted within the first time period into a single, representative baseline signal value (denoted as S0). The aim is to smooth out minor signal fluctuations over a short period, thereby obtaining a stable baseline that reliably characterizes the user's baseline physiological state.

[0036] For example, a reference signal is calculated based on the signal values ​​in the first time period, including: calculating the average of all signal values ​​in the first time period or arranging all signal values ​​in the first time period in order and taking the median as the reference signal. This method can effectively suppress interference from instantaneous outliers (such as measurement noise or motion artifacts) and has stronger robustness.

[0037] S104: Extract the signal value of the second time period from the original electrochemical signal stream, and calculate the signal to be compared based on the signal value of the second time period.

[0038] Specifically, when the user is in a state requiring monitoring (such as exercise, high-temperature exposure, etc.), the device selects a second time period (e.g., 20 to 25 minutes after the start of exercise) from the continuous raw electrochemical signal stream to represent the current state. Subsequently, the signal values ​​within the second time period are processed using the same data aggregation method (e.g., calculating the average or median) as the baseline signal to obtain the comparison signal St. For example, the average of all signals within the second time period is calculated and used as the comparison signal, or all signal values ​​within the second time period are arranged in order, and the median is taken as the comparison signal. This comparison signal reflects the dynamic changes of the target electrolyte (e.g., sodium ions) under the current state.

[0039] For example: If a user starts exercising at 10:00 AM, the device extracts signal values ​​between 10:20 and 10:25 AM and calculates the average value of the signal within that 5-minute window as St.

[0040] S105: Calculate the relative rate of change or ratio between the signal to be compared and the reference signal, and generate a standardized signal.

[0041] In this embodiment, to eliminate interference from individual baseline differences and non-concentration factors (such as skin characteristics and sensor drift), St is standardized in this step. Standardization can be achieved by calculating the relative rate of change between the signal to be compared and the reference signal, or by calculating the ratio of the signal to be compared to the reference signal. Specifically, the relative rate of change between the signal to be compared and the reference signal is calculated as follows: Si = [St - S0] / S0; where Si represents the relative rate of change between the signal to be compared and the reference signal, S0 represents the reference signal, and St represents the signal to be compared at time t.

[0042] The ratio of the signal to be compared to the reference signal is calculated and expressed as: Sj = St / S0; where S0 represents the reference signal and St represents the signal to be compared at time t.

[0043] For example, suppose user A's S0 = 50 mV and user B's S0 = 80 mV (due to individual differences). After exercise, both users' S0 values ​​are 60 mV. The absolute signal values ​​are both 60 mV, failing to reflect the difference. However, after standardization, user A's Si = (60-50) / 50 = 20% (or Sj = 1.2), indicating a signal increase, possibly reflecting sweat concentration and increased electrolyte concentration. User B's Si = (60-80) / 80 = -25% (or Sj = 0.75), indicating a signal decrease, possibly reflecting sweat dilution and decreased electrolyte concentration. In other words, standardized signals (Si or Sj) effectively suppress individual baseline differences and more accurately reflect the relative changes in electrolyte concentration.

[0044] S106: Based on the standardized signal, the physiological state level of the target electrolyte is obtained.

[0045] The reference signal is used to characterize the signal baseline containing individual interference factors under the reference physiological state, and the normalized signal is used to suppress interference introduced by non-concentration factors in the original electrochemical signal.

[0046] By comparing a calculated standardized signal (rate of change or ratio) with a predefined threshold range, an intuitive physiological state level is output. This physiological state level is used to guide the user's health decisions (such as hydration or electrolyte replenishment).

[0047] Specifically, assuming a standardized interval of Sj < 0.85, the corresponding physiological state level is severe hyponatremia risk, which corresponds to extremely low sweat sodium concentration, indicating a need to be alert for hyponatremia. Assuming a standardized interval of 0.85 ≤ Sj < 0.95, the corresponding physiological state level is mild hyponatremia, which requires supplementation with electrolyte-containing beverages, etc.

[0048] As can be seen from the above analysis, the sweat electrolysis signal balance analysis method provided in this application includes: continuously acquiring the original electrochemical signal stream of the target electrolyte through the same sweat sensor; after identifying that the user is in a preset baseline physiological state, extracting the signal value of a first time period from the original electrochemical signal stream; calculating a baseline signal based on the signal value of the first time period; extracting the signal value of a second time period from the original electrochemical signal stream, and calculating a signal to be compared based on the signal value of the second time period; calculating the relative rate of change or ratio between the signal to be compared and the baseline signal to generate a standardized signal; and obtaining the physiological state level of the target electrolyte based on the standardized signal. The baseline signal is used to characterize the signal baseline containing individual interference factors in the baseline physiological state, and the standardized signal is used to suppress interference introduced by non-concentration factors in the original electrochemical signal. By calculating the relative rate of change or ratio between the signal to be compared and the baseline signal, a relative comparison strategy is formed that effectively suppresses interference from non-concentration factors, significantly improving the accuracy of wearable electrolyte monitoring.

[0049] Please see Figure 2 As shown, Figure 2 This is a schematic diagram of the sweat electrolysis signal balance analysis device provided in an embodiment of this application. Figure 2 It is understood that the sweat electrolysis signal balance analysis device 200 provided in this application embodiment includes: Acquisition module 201 is used to continuously acquire the raw electrochemical signal flow of the target electrolyte through the same sweat sensor; Extraction module 202 is used to extract the signal value of the first time period from the original electrochemical signal stream after identifying that the user is in a preset baseline physiological state; The first calculation module 203 is used to calculate a reference signal based on the signal value of the first time period; The second calculation module 204 is used to extract the signal value of the second time period from the original electrochemical signal stream, and calculate the signal to be compared based on the signal value of the second time period; The generation module 205 is used to calculate the relative rate of change or ratio between the signal to be compared and the reference signal, and generate a standardized signal; The module 206 is used to obtain the physiological state level of the target electrolyte based on the standardized signal, wherein the reference signal is used to characterize the signal baseline containing individual interference factors in the reference physiological state, and the standardized signal is used to suppress interference introduced by non-concentration factors in the original electrochemical signal.

[0050] In one embodiment, the target electrolyte includes sodium ions and potassium ions, and the original electrochemical signal is a potential signal related to the concentration of the target electrolyte.

[0051] In one embodiment, the preset baseline physiological state is determined by one of the following methods: Receive confirmation of instructions sent by the user; Monitor the user's heart rate data and confirm when the heart rate remains below the resting threshold for a first predetermined time. Alternatively, confirmation can be made after a second predetermined initialization phase following detection of the device being worn.

[0052] In one embodiment, the preset baseline physiological state includes the user's resting state, adequate hydration state, or pre-exercise state.

[0053] The first calculation module 203 is specifically used for: Calculate the average or median of the signal within the first time period, and use the average or median as the reference signal; The second calculation module 204 is specifically used for: Calculate the average value of all signals within the second time period and use this average value as the signal to be compared, or arrange all signal values ​​within the second time period in order and take the median value as the signal to be compared.

[0054] In one embodiment, the calculation of the relative rate of change between the signal to be compared and the reference signal is expressed as: Si = [St - S0] / S0; where Si represents the relative rate of change between the signal to be compared and the reference signal, S0 represents the reference signal, and St represents the signal to be compared at time t; The calculation of the ratio of the signal to be compared to the reference signal is expressed as follows: Sj = St / S0; where S0 represents the reference signal and St represents the signal to be compared at time t.

[0055] In one embodiment, the obtaining module 206 is specifically used for: The standardized signal is compared with a predetermined threshold range to obtain the physiological state level of the target electrolyte, where the threshold range corresponds to different physiological state levels.

[0056] It should be noted that the specific implementation process of each module or unit mentioned above can be referred to the specific implementation process of each step in the previous method embodiment, and will not be repeated here.

[0057] Please see Figure 3 As shown, Figure 3 A schematic block diagram of the sweat electrolysis signal balance analysis device provided in the embodiments of this application.

[0058] For example, the sweat electrolysis signal balance analysis device 300 includes a processing module 301 and a memory 302.

[0059] For example, the processing module 301 and the memory 302 are connected via a bus 303, such as an I2C (Inter-integrated Circuit) bus.

[0060] Specifically, the processing module 301 can be a microcontroller unit (MCU), a central processing unit (CPU), or a digital signal processor (DSP), etc.

[0061] Specifically, the memory 302 can be a Flash chip, a read-only memory (ROM) disk, an optical disk, a USB flash drive, or a portable hard drive, etc.

[0062] The processing module 301 is used to run the computer program stored in the memory 302, and implements the steps of the above-mentioned sweat electrolysis signal balance analysis method when executing the computer program.

[0063] For example, the processing module 301 is used to run a computer program stored in the memory 302, and performs the following steps when executing the computer program: The raw electrochemical signal flow of the target electrolyte is continuously acquired using the same sweat sensor; After identifying that the user is in a preset baseline physiological state, the signal value of the first time period is extracted from the original electrochemical signal stream; Calculate the reference signal based on the signal value of the first time period; The signal value of the second time period is extracted from the original electrochemical signal stream, and the signal to be compared is calculated based on the signal value of the second time period; Calculate the relative rate of change or ratio between the signal to be compared and the reference signal to generate a standardized signal; Based on the standardized signal, the physiological state level of the target electrolyte is obtained, wherein the reference signal is used to characterize the signal baseline containing individual interference factors in the reference physiological state, and the standardized signal is used to suppress interference introduced by non-concentration factors in the original electrochemical signal.

[0064] In one embodiment, the target electrolyte includes sodium ions and potassium ions, and the original electrochemical signal is a potential signal related to the concentration of the target electrolyte.

[0065] In one embodiment, the preset baseline physiological state is determined by one of the following methods: Receive confirmation of instructions sent by the user; Monitor the user's heart rate data and confirm when the heart rate remains below the resting threshold for a first predetermined time. Alternatively, confirmation can be made after a second predetermined initialization phase following detection of the device being worn.

[0066] In one embodiment, the preset baseline physiological state includes the user's resting state, adequate hydration state, or pre-exercise state.

[0067] In one embodiment, calculating the reference signal based on the signal value of the first time period includes: Calculate the average or median of the signal within the first time period, and use the average or median as the reference signal; The calculation of the signal to be compared based on the signal value of the second time period includes: Calculate the average value of all signals within the second time period and use this average value as the signal to be compared, or arrange all signal values ​​within the second time period in order and take the median value as the signal to be compared.

[0068] In one embodiment, the calculation of the relative rate of change between the signal to be compared and the reference signal is expressed as: Si = [St - S0] / S0; where Si represents the relative rate of change between the signal to be compared and the reference signal, S0 represents the reference signal, and St represents the signal to be compared at time t; The calculation of the ratio of the signal to be compared to the reference signal is expressed as follows: Sj = St / S0; where S0 represents the reference signal and St represents the signal to be compared at time t.

[0069] In one embodiment, obtaining the physiological state level of the target electrolyte based on the standardized signal includes: The standardized signal is compared with a predetermined threshold range to obtain the physiological state level of the target electrolyte, where the threshold range corresponds to different physiological state levels.

[0070] The specific principle and implementation method of the sweat electrolysis signal balance analysis device provided in this application embodiment are similar to those of the sweat electrolysis signal balance analysis method in the foregoing embodiment, and will not be repeated here.

[0071] This application embodiment also provides a computer-readable storage medium storing a computer program, which, when executed by a processing module, causes the processing module to perform the following steps: The raw electrochemical signal flow of the target electrolyte is continuously acquired using the same sweat sensor; After identifying that the user is in a preset baseline physiological state, the signal value of the first time period is extracted from the original electrochemical signal stream; Calculate the reference signal based on the signal value of the first time period; The signal value of the second time period is extracted from the original electrochemical signal stream, and the signal to be compared is calculated based on the signal value of the second time period; Calculate the relative rate of change or ratio between the signal to be compared and the reference signal to generate a standardized signal; Based on the standardized signal, the physiological state level of the target electrolyte is obtained, wherein the reference signal is used to characterize the signal baseline containing individual interference factors in the reference physiological state, and the standardized signal is used to suppress interference introduced by non-concentration factors in the original electrochemical signal.

[0072] In one embodiment, the target electrolyte includes sodium ions and potassium ions, and the original electrochemical signal is a potential signal related to the concentration of the target electrolyte.

[0073] In one embodiment, the preset baseline physiological state is determined by one of the following methods: Receive confirmation of instructions sent by the user; Monitor the user's heart rate data and confirm when the heart rate remains below the resting threshold for a first predetermined time. Alternatively, confirmation can be made after a second predetermined initialization phase following detection of the device being worn.

[0074] In one embodiment, the preset baseline physiological state includes the user's resting state, adequate hydration state, or pre-exercise state.

[0075] In one embodiment, calculating the reference signal based on the signal value of the first time period includes: Calculate the average or median of the signal within the first time period, and use the average or median as the reference signal; The calculation of the signal to be compared based on the signal value of the second time period includes: Calculate the average value of all signals within the second time period and use this average value as the signal to be compared, or arrange all signal values ​​within the second time period in order and take the median value as the signal to be compared.

[0076] In one embodiment, the calculation of the relative rate of change between the signal to be compared and the reference signal is expressed as: Si = [St - S0] / S0; where Si represents the relative rate of change between the signal to be compared and the reference signal, S0 represents the reference signal, and St represents the signal to be compared at time t; The calculation of the ratio of the signal to be compared to the reference signal is expressed as follows: Sj = St / S0; where S0 represents the reference signal and St represents the signal to be compared at time t.

[0077] In one embodiment, obtaining the physiological state level of the target electrolyte based on the standardized signal includes: The standardized signal is compared with a predetermined threshold range to obtain the physiological state level of the target electrolyte, where the threshold range corresponds to different physiological state levels.

[0078] The computer-readable storage medium can be an internal storage unit of the sweat electrolysis signal balance analysis device in the aforementioned embodiments, such as the hard drive or memory of the sweat electrolysis signal balance analysis device. Alternatively, the computer-readable storage medium can be an external storage device of the sweat electrolysis signal balance analysis device, such as a plug-in hard drive, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the sweat electrolysis signal balance analysis device.

[0079] It should be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of the application.

[0080] It should also be understood that the term “and / or” as used in this application and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0081] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for analyzing the balance of sweat electrolysis signals, characterized in that, include: The raw electrochemical signal flow of the target electrolyte is continuously acquired using the same sweat sensor; After identifying that the user is in a preset baseline physiological state, the signal value of the first time period is extracted from the original electrochemical signal stream; Calculate the reference signal based on the signal value of the first time period; The signal value of the second time period is extracted from the original electrochemical signal stream, and the signal to be compared is calculated based on the signal value of the second time period; Calculate the relative rate of change or ratio between the signal to be compared and the reference signal to generate a standardized signal; Based on the standardized signal, the physiological state level of the target electrolyte is obtained, wherein the reference signal is used to characterize the signal baseline containing individual interference factors in the reference physiological state, and the standardized signal is used to suppress interference introduced by non-concentration factors in the original electrochemical signal.

2. The sweat electrolysis signal balance analysis according to claim 1, characterized in that, The target electrolyte includes sodium ions and potassium ions, and the original electrochemical signal is a potential signal related to the concentration of the target electrolyte.

3. The method for sweat electrolysis signal balance analysis according to claim 2, characterized in that, The preset baseline physiological state is determined by one of the following methods: Receive confirmation of instructions sent by the user; Monitor the user's heart rate data and confirm when the heart rate remains below the resting threshold for a first predetermined time. Alternatively, confirmation can be made after a second predetermined initialization phase following detection of the device being worn.

4. The method for sweat electrolysis signal balance analysis according to claim 3, characterized in that, The preset baseline physiological states include the user's resting state, adequate hydration state, or pre-exercise state.

5. The method for sweat electrolysis signal balance analysis according to claim 1, characterized in that, The calculation of the reference signal based on the signal value of the first time period includes: Calculate the average value of all signal values ​​within the first time period and use this average value as the reference signal, or arrange all signal values ​​within the first time period in order and take the median as the reference signal; The calculation of the signal to be compared based on the signal value of the second time period includes: Calculate the average value of all signals within the second time period and use this average value as the signal to be compared, or arrange all signal values ​​within the second time period in order and take the median value as the signal to be compared.

6. The method for sweat electrolysis signal balance analysis according to claim 1, characterized in that, The calculation of the relative rate of change between the signal to be compared and the reference signal is expressed as: Si = [St - S0] / S0; where Si represents the relative rate of change between the signal to be compared and the reference signal, S0 represents the reference signal, and St represents the signal to be compared at time t; The calculation of the ratio of the signal to be compared to the reference signal is expressed as follows: Sj = St / S0; where S0 represents the reference signal and St represents the signal to be compared at time t.

7. The method for sweat electrolysis signal balance analysis according to claim 1, characterized in that, The process of obtaining the physiological state level of the target electrolyte based on the standardized signal includes: The standardized signal is compared with a predetermined threshold range to obtain the physiological state level of the target electrolyte, where the threshold range corresponds to different physiological state levels.

8. A sweat electrolysis signal balance analysis device, characterized in that, include: The acquisition module is used to continuously acquire the raw electrochemical signal flow of the target electrolyte through the same sweat sensor; The extraction module is used to extract the signal value of the first time period from the original electrochemical signal stream after identifying that the user is in a preset baseline physiological state. The first calculation module is used to calculate the reference signal based on the signal value of the first time period; The second calculation module is used to extract the signal value of the second time period from the original electrochemical signal stream, and calculate the signal to be compared based on the signal value of the second time period; The generation module is used to calculate the relative rate of change or ratio between the signal to be compared and the reference signal, and generate a standardized signal; The module is used to obtain the physiological state level of the target electrolyte based on the standardized signal, wherein the reference signal is used to characterize the signal baseline containing individual interfering factors in the reference physiological state, and the standardized signal is used to suppress interference introduced by non-concentration factors in the original electrochemical signal.

9. An electronic device, characterized in that, include: Memory and processing modules; The memory is used to store computer programs; The processing module is used to execute the computer program and, when executing the computer program, to implement the steps of the sweat electrolysis signal balance analysis method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program; When the computer program is executed by one or more processing modules, the one or more processing modules perform the steps of the sweat electrolysis signal balance analysis method as described in any one of claims 1 to 7.

Images