Portable working method of electrocardiograph and electrocardiograph

Abstract

The invention provides a portable working method of an electrocardiograph and the electrocardiograph, and relates to the field of electrocardiogram monitoring, the method comprises the following steps: acquiring sweat parameters between an electrode and a skin contact surface, corresponding electrocardiogram data and corresponding signal quality under a standard electrode voltage; when the electrode voltage is adjusted until the signal quality accords with a preset signal intensity threshold value, the voltage adjusting quantity is recorded; the sweat parameters are adjusted at preset intervals under the standard electrode voltage, voltage adjusting variables corresponding to the electrocardiogram data under the different sweat parameters are obtained, and then a voltage adjusting curve is generated; determining an output voltage value of the electrode according to the current sweat parameter of the user and the voltage regulation curve; and controlling the electrode to obtain electrocardiogram data of the user according to the output voltage value. By implementing the method, the influence of sweat change on the electrocardiosignal quality is reduced, and the signal stability and diagnosis accuracy of the electrocardiograph in portable application are ensured by optimizing the electrode voltage in real time.

Description

Technical Field

[0001] The present application relates to the field of electrocardiogram monitoring, and in particular to a portable working method of an electrocardiograph and an electrocardiograph. Background Art

[0002] With the development of medical technology, electrocardiogram (ECG) devices have been widely used in the monitoring and diagnosis of heart diseases. ECG can provide important information about heart function by detecting and recording the electrical activity of the heart. With the rise of wearable medical devices, the demand for portable ECG machines is growing, especially in the field of dynamic and long-term monitoring.

[0003] In the related art, portable electrocardiographs usually use standard electrodes to collect signals from the skin at a fixed voltage. These devices capture weak electrical signals on the skin surface through electrodes and then convert them into electrocardiogram data. The contact quality between the electrodes and the skin directly affects the accuracy and reliability of the signal.

[0004] However, in the use of existing portable electrocardiographs, the contact resistance between the electrode and the skin is significantly affected by the involvement of sweat, especially the changes in electrolyte concentration and pH value. This change leads to unstable ECG signal quality, especially during long-term monitoring or dynamic activities, where fluctuations in signal quality may lead to diagnostic errors or data loss. Summary of the invention

[0005] The present application provides a portable electrocardiograph working method and an electrocardiograph, which are used to reduce the influence of sweat generated by a user on the diagnosis result of electrocardiograph data.

[0006] In a first aspect, the present application provides a portable working method of an electrocardiograph, which is applied to an electrocardiograph, and the method comprises: Acquire sweat parameters and corresponding electrocardiogram data between the electrode and the skin contact surface under a standard electrode voltage, wherein the sweat parameters include electrolyte concentration and pH value, and the electrode is used to acquire the electrocardiogram data of the user; determining a signal quality corresponding to the electrocardiogram data; Adjust the electrode voltage until the signal quality meets the preset signal strength threshold, and record the voltage adjustment amount; The sweat parameter is adjusted at a preset interval under a standard electrode voltage to obtain a voltage adjustment amount corresponding to the electrocardiogram data under different sweat parameters; generating a voltage regulation curve according to the voltage regulation amount corresponding to the electrocardiogram data under the different sweat parameters; Determine the output voltage value of the electrode according to the current sweat parameter of the user and the voltage adjustment curve; The electrodes are controlled according to the output voltage value to obtain the user's electrocardiogram data.

[0007] Through the above-mentioned embodiment, the electrocardiograph obtains the sweat parameters of the contact surface between the electrode and the skin and the signal quality of the corresponding electrocardiograph data under the standard electrode voltage, and then adjusts the electrode voltage until the signal quality reaches the preset threshold and records the voltage adjustment amount. By repeating this process under different sweat parameter conditions, a voltage adjustment curve is obtained. In subsequent use, the electrode output voltage can be dynamically adjusted according to the user's current sweat parameters and the voltage adjustment curve, thereby ensuring that high-quality electrocardiograph data is collected. This method reduces the impact of sweat changes on the quality of the electrocardiograph signal, and is particularly suitable for long-term monitoring or when the user is in motion and other easy-to-sweat scenarios. By optimizing the electrode voltage in real time, the signal stability and diagnostic accuracy of the electrocardiograph in portable applications are ensured.

[0008] In some embodiments, the step of adjusting the electrode voltage until the signal quality meets a preset signal strength threshold, recording the voltage adjustment amount, specifically includes: Record the electrode voltage before adjustment; If it is detected that the signal quality is lower than the preset signal strength threshold, the electrode voltage is increased and the adjusted signal quality is detected again; If it is detected that the signal quality is higher than the preset signal strength threshold, the electrode voltage is reduced and the adjusted signal quality is detected again; If it is detected that the signal quality after adjustment meets the preset signal strength threshold, the voltage adjustment amount is determined according to the difference between the current electrode voltage and the electrode voltage before adjustment; The current sweat parameters and the voltage adjustment amount are recorded.

[0009] Through the above embodiment, the electrocardiograph records the electrode voltage before adjustment, and then gradually increases or decreases the electrode voltage according to the comparison result between the signal quality and the preset threshold value, until the signal quality after adjustment reaches the preset threshold value. Finally, the difference between the electrode voltage before and after adjustment is calculated to obtain the voltage adjustment amount under the sweat parameter condition. The appropriate voltage value can be found more accurately, excessive fluctuations in signal quality can be avoided, and the efficiency and reliability of voltage regulation can be improved.

[0010] In some embodiments, before the step of determining the output voltage value of the electrode according to the current sweat parameter of the user and the voltage adjustment curve, the step further includes: Obtain the user's body shape data and electrode placement images; Determining a preset placement position of the electrode according to the body shape data and a preset placement rule; Determine whether the electrode in the placement position picture conforms to the preset placement position based on an image recognition algorithm; If the electrode in the placement position picture does not conform to the preset placement position, an early warning reminder is issued; If the electrode in the placement position picture does not conform to the preset placement position, the ECG data collection is performed normally.

[0011] Through the above embodiment, the electrocardiograph obtains the user's body shape data, calculates the optimal placement of the electrode according to the preset rules, and then uses the image recognition algorithm to analyze the electrode placement picture uploaded by the user to determine whether the actual electrode position meets the preset position. If not, an early warning reminder is issued to guide the user to correctly place the electrode. Through human-computer interaction and intelligent image analysis, the correct placement of the electrode is ensured, reducing signal quality problems caused by improper electrode position.

[0012] In some embodiments, after the step of collecting ECG data normally if the electrodes in the placement position picture do not conform to the preset placement position, the step further includes: The relative position of the electrode and the skin contact surface is monitored in real time through a displacement sensor; If a deviation of the relative position is detected, a deviation warning is issued.

[0013] Through the above-mentioned embodiment, when the electrocardiograph detects that the electrode position is offset, a deviation warning is given in time to remind the user to adjust the electrode position.

[0014] In some embodiments, after the step of collecting ECG data normally if the electrodes in the placement position picture do not conform to the preset placement position, the step further includes: The contact pressure between the electrode and the skin is monitored in real time by a pressure sensor; The contact pressure is controlled by a micro motor to be within a preset pressure range.

[0015] Through the above embodiments, the electrocardiograph overcomes the problem of uneven contact between the electrode and the skin or unstable contact pressure through real-time pressure monitoring and dynamic adjustment, ensures the close fit of the electrode and the skin and the consistency of pressure, and reduces baseline drift or signal distortion caused by poor contact.

[0016] In some embodiments, after the step of controlling the electrodes to obtain the user's electrocardiogram data according to the output voltage value, the method further includes: Obtain interference conditions of different wireless channels, the interference conditions including signal-to-noise ratio and interference intensity; Determine the highest-scoring available channel according to the interference condition and a preset scoring mechanism; When it is detected that the interference condition of the current wireless channel exceeds the preset interference threshold, it automatically switches to the available channel to continue data transmission.

[0017] Through the above embodiments, the electrocardiograph selects the optimal channel through real-time monitoring and interference assessment, thereby ensuring the reliability and stability of data transmission. When faced with severe interference, it switches to an alternative channel in a timely manner, thereby minimizing the risk of data packet loss or error.

[0018] In some embodiments, after the step of controlling the electrodes to obtain the user's electrocardiogram data according to the output voltage value, the method further includes: The electrocardiogram data is sent to a public medical terminal through a user terminal, and the public medical terminal is used to identify abnormalities in the electrocardiogram data; The abnormal identification results sent by the public medical end are displayed in real time on the user terminal.

[0019] Through the above embodiment, the electrocardiograph sends data to the public medical terminal for abnormality identification, and displays the identification results to the user in real time. The electrocardiograph is combined with the diagnostic capabilities of professional medical institutions to achieve remote electrocardiogram monitoring and real-time abnormality warning.

[0020] In a second aspect, the present application provides an electrocardiograph, the electrocardiograph comprising: one or more processors and a memory; The memory is coupled to the one or more processors, and is used to store computer program code, which includes computer instructions. The one or more processors call the computer instructions so that the electrocardiograph can implement a portable working method of the electrocardiograph provided in the above-mentioned embodiment, which will not be repeated here.

[0021] In a third aspect, the present application provides a computer-readable storage medium, including instructions. When the instructions are executed on an electrocardiograph, the electrocardiograph can implement a portable electrocardiograph working method provided in the above-mentioned embodiment, which will not be repeated here.

[0022] In a fourth aspect, the present application provides a computer program product. When the computer program product runs on an electrocardiograph, the electrocardiograph can implement a portable electrocardiograph working method provided in the above-mentioned embodiment, which will not be described in detail here.

[0023] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By obtaining the voltage adjustment amount under different sweat parameter conditions, the voltage adjustment curve is generated, and the electrode output voltage is dynamically optimized according to the user's real-time sweat parameters. This adaptive adjustment method overcomes the impact of sweat changes on the quality of ECG signals and ensures the stability and reliability of the signal. It is especially suitable for long-term monitoring and user exercise and other easy-to-sweat scenarios. This technology significantly improves the adaptability and diagnostic accuracy of ECG machines in portable applications.

[0024] 2. By obtaining the user's body shape data and electrode placement pictures, the image recognition algorithm and preset rules are used to determine whether the electrode position is correct and give corresponding prompts. At the same time, during the ECG acquisition process, displacement sensors and pressure sensors are used to monitor the contact position and pressure between the electrode and the skin in real time. Once an offset or pressure abnormality is detected, a timely warning is issued and adjustments are made through a micromotor. This intelligent electrode placement guidance and real-time monitoring mechanism ensures stable contact and optimal pressure between the electrode and the skin, significantly improving the quality and continuity of the ECG signal.

[0025] 3. By uploading the collected ECG data to the public medical terminal, the powerful cloud algorithm model and medical knowledge base are used to identify abnormalities, and the results are fed back to the user terminal in real time for display. This cloud-based collaborative working mode combines the diagnostic capabilities of portable ECG machines with professional medical institutions, realizing remote ECG monitoring and real-time abnormal warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of a portable working method of an electrocardiograph in an embodiment of the present application; Figure 2 It is a schematic diagram of a flow chart of adjusting electrode voltage by an electrocardiograph in an embodiment of the present application; Figure 3 is another flow chart of a portable working method of an electrocardiograph in an embodiment of the present application; Figure 4 It is a schematic diagram of the structure of a physical device of an electrocardiograph in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0028] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0029] It is understandable that an electrocardiograph uses electrodes in contact with the skin to collect the user's bioelectric signals, thereby obtaining electrocardiogram data that reflects the heart's electrical activity. However, the quality of contact between the electrodes and the skin can significantly affect the accuracy and reliability of the signal. In particular, the sweat produced by the user can change the conductive properties between the electrodes and the skin.

[0030] During exercise, the user's skin will secrete sweat, which will affect the normal collection of ECG data, resulting in poor quality of the acquired ECG data signal, affecting the final judgment of abnormal ECG data.

[0031] In this regard, the present application provides a portable electrocardiograph operating method and an electrocardiograph, which are used to reduce the influence of sweat generated by the user on the diagnosis result of electrocardiograph data.

[0032] For ease of understanding, the following is a flow chart of the method provided in this implementation. Figure 1 The figure is a flow chart of a portable working method of an electrocardiograph in an embodiment of the present application.

[0033] S101. Obtain sweat parameters and corresponding electrocardiogram data between the electrode and the skin contact surface under a standard electrode voltage.

[0034] Under standard electrode voltage (usually a few hundred millivolts), the electrocardiograph first obtains sweat parameters at the contact surface between the electrode and the skin. The sweat parameters are realized by integrating micro electrochemical sensors on the electrodes, such as ion selective electrodes for measuring electrolyte concentration, glass electrodes or ISFETs (ion sensitive field effect transistors) for measuring pH values, etc. Then, the electrocardiograph records the raw electrocardiogram data collected at this time, which is used to establish the corresponding relationship between sweat parameters and signal quality later.

[0035] It should be noted that this process can also be performed by placing electrodes on the simulated skin, which is not limited here.

[0036] S102: Determine the signal quality corresponding to the electrocardiogram data.

[0037] After obtaining the original ECG data, the ECG machine evaluates its signal quality to determine whether the acquisition effect under the current electrode voltage meets the diagnostic requirements. Specifically, the ECG machine can perform spectrum analysis on the waveform signal corresponding to the ECG data, calculate the power spectrum density of the signal and noise, and then calculate the signal-to-noise ratio (SNR), and calculate the signal quality score corresponding to the ECG data based on the SNR.

[0038] Of course, in some embodiments, the signal quality corresponding to the electrocardiogram data may also be evaluated by calculating other indicators such as stability of baseline drift, which is not limited here.

[0039] S103, adjusting the electrode voltage until the signal quality meets the preset signal strength threshold, and recording the voltage adjustment amount.

[0040] After determining the signal quality of the current ECG data, the ECG machine further determines whether it meets the preset quality standard, that is, the preset signal strength threshold. If it is detected that the current signal quality is lower than the preset threshold, it is determined that the ECG data may have large noise or distortion, which is difficult to meet the needs of clinical analysis. At this time, the ECG machine starts the electrode voltage adjustment mechanism to optimize the signal acquisition effect by changing the voltage applied to the electrode.

[0041] Specifically, the ECG machine gradually increases the electrode voltage to improve the conductivity and signal transmission efficiency between the electrode and the skin. The increase in voltage can overcome the contact resistance caused by sweat, allowing stronger ECG signals to be picked up by the electrodes. During the voltage adjustment process, the ECG machine continuously monitors changes in signal quality and compares it with the preset threshold. Once the signal strength reaches or exceeds the threshold, the ECG machine stops voltage adjustment and records the voltage adjustment amount at this time, that is, the voltage increment value.

[0042] For example, when a user sweats profusely, the electrolytes in the sweat will form a barrier on the surface of the electrode, reducing the conductivity of the electrode. The original standard electrode voltage may not be able to effectively collect ECG signals, resulting in a decrease in signal strength. After the electrocardiograph detects that the signal quality is lower than the preset threshold, it automatically increases the electrode voltage, for example, from 3.3V to 5V. In this process, the electrocardiograph will evaluate the signal quality at different voltages. When the voltage increases to 4.2V, the signal quality reaches the preset threshold. At this time, the voltage adjustment amount is 4.2V-3.3V=0.9V. The electrocardiograph records this value and associates it with the current sweat parameters.

[0043] S104, adjusting the sweat parameter at a preset interval under the standard electrode voltage to obtain the voltage adjustment amount corresponding to the electrocardiogram data under different sweat parameters.

[0044] Specifically, the electrocardiograph simulates different sweating conditions by artificially changing the sweat parameters between the electrode and the skin on the basis of the standard electrode voltage. This can be achieved by preset intervals so that the amplitude of each adjustment of the sweat parameters is fixed. For example, the electrocardiograph can increase the electrolyte concentration by 10mmol / L and reduce the pH value by 0.5 each time to simulate different states of mild, moderate, and severe sweating.

[0045] Under each adjusted sweat parameter, the electrocardiograph repeats steps S102 and S103, that is, evaluating the signal quality, adjusting the electrode voltage, and recording the corresponding voltage adjustment amount. Through multiple adjustments and recordings, the electrocardiograph can obtain a series of voltage adjustment amounts under different sweat parameters.

[0046] S105 , generating a voltage regulation curve according to the voltage regulation amount corresponding to the electrocardiogram data under different sweat parameters.

[0047] After obtaining a series of voltage regulation data under different sweat parameters, the electrocardiograph integrates these discrete data points into a continuous functional relationship, namely the voltage regulation curve.

[0048] Specifically, the electrocardiograph uses the sweat parameters of each voltage regulation data point as the independent variable and the voltage regulation amount as the dependent variable, and constructs a multivariate function using mathematical fitting methods. Optional fitting methods include polynomial fitting, spline interpolation, neural network, etc. Taking polynomial fitting as an example, the electrocardiograph can use a cubic polynomial to describe the relationship between the voltage regulation amount and the electrolyte concentration and pH value. The coefficients of the polynomial are determined by optimization algorithms such as the least squares method to minimize the error between the fitting curve and the original data points.

[0049] For example, the cubic polynomial equation in one embodiment is as follows: V = 0.5 + 0.02 * C - 0.1 * P - 0.001 * C^2 + 0.02 * P^2 + 0.005 * C *P - 0.001 * C^3; Among them, V represents the voltage regulation amount, C represents the electrolyte concentration, and P represents the pH value.

[0050] S106: Control the electrodes according to the output voltage value to obtain the user's electrocardiogram data.

[0051] Specifically, sweat parameters may change dynamically with factors such as the user's body temperature, exercise status, ambient temperature and humidity, etc. The electrocardiograph collects the electrolyte concentration and pH value on the user's skin surface in real time through built-in sensors, obtains the current sweat parameters, and uses them as input for the voltage regulation curve.

[0052] Taking the cubic polynomial equation in step S105 as an example, assuming that the electrolyte concentration of the current user's sweat is detected to be 65mmol / L and the pH value is 5.8, the electrocardiograph substitutes these two parameters into the equation of the fitting curve: V = 0.5 + 0.02 * 65 - 0.1 * 5.8 - 0.001 * 65^2 + 0.02 * 5.8^2 + 0.005* 65 * 5.8 - 0.001 * 65^3 It is calculated that in the current sweat state, the voltage adjustment amount V is about 1.37V. Therefore, the electrocardiograph adds the standard electrode voltage to the calculated voltage adjustment amount to obtain the optimal electrode output voltage value at this time. For example, if the standard electrode voltage is 3.3V, the output voltage at this time should be 3.3V+1.37V=4.67V. The electrocardiograph sends this voltage value to the electrode to control it to make corresponding voltage output adjustments.

[0053] Furthermore, when the user's sweat state changes, the ECG machine repeats the above process and calculates the new voltage adjustment amount and output voltage value in real time. By dynamically matching the voltage adjustment curve, the ECG machine can quickly respond to changes in sweat parameters and make adaptive adjustments. Regardless of the user's sweating state, the machine can adjust the electrode voltage in time to ensure that the ECG signal quality is always at the optimal level.

[0054] In the above embodiment, the electrocardiograph obtains the sweat parameters of the electrode-skin contact surface and the signal quality of the corresponding electrocardiogram data under the standard electrode voltage, and then adjusts the electrode voltage until the signal quality reaches a preset threshold and records the voltage adjustment amount. By repeating this process under different sweat parameter conditions, a voltage adjustment curve is obtained. In subsequent use, the electrode output voltage can be dynamically adjusted according to the user's current sweat parameters and voltage adjustment curve to ensure that high-quality electrocardiogram data is collected. This method reduces the impact of sweat changes on the quality of ECG signals, and is particularly suitable for long-term monitoring or when the user is in motion and other easy-to-sweat scenarios. By optimizing the electrode voltage in real time, the signal stability and diagnostic accuracy of the electrocardiograph in portable applications are ensured.

[0055] The following is an introduction to the process of adjusting the electrode voltage by the electrocardiogram machine in this implementation. Figure 2 As shown, it is another flow chart of the electrocardiograph adjusting the electrode voltage in the embodiment of the present application.

[0056] S201, determining the signal quality corresponding to the electrocardiogram data under the current sweat parameters.

[0057] This step is the same as step S102 and will not be repeated here.

[0058] S202: Determine whether the signal quality is within a preset signal strength threshold.

[0059] After obtaining the current signal quality score, the electrocardiograph needs to compare it with the preset signal strength threshold. This threshold represents the lower limit of acceptable signal quality and is usually set by the electrocardiograph manufacturer based on experience and a large amount of experimental data, and is not limited here.

[0060] Furthermore, if the current signal quality is equal to or higher than the threshold, it is determined that the collected ECG data is reliable in the current sweat state, and there is no need to adjust the electrode voltage. The ECG machine continues to maintain the current settings to work, that is, execute S203 and other subsequent steps. On the contrary, if the signal quality is lower than the threshold, it is determined that the sweat change has begun to significantly affect the ECG collection, and the adaptive voltage adjustment process is started to ensure the signal quality, that is, execute S205-S208 and other subsequent steps.

[0061] S203, determining a voltage adjustment amount according to a difference between the current electrode voltage and the electrode voltage before adjustment.

[0062] When the electrocardiograph determines that the electrode voltage does not need to be adjusted, the signal quality of the ECG data is at the preset signal strength threshold. By calculating the difference between the current electrode voltage and the electrode voltage before adjustment, the voltage adjustment amount under the current sweat parameters can be determined, which is 0.

[0063] S204, adjusting sweat parameters at preset intervals under standard electrode voltage.

[0064] After determining the voltage regulation amount in the current state, in order to generate a complete voltage regulation curve, the electrocardiograph needs to calculate the voltage regulation amount under different sweat parameter conditions. Specifically, the electrolyte concentration and pH value are changed by a preset step size, i.e., the interval amount, under the standard electrode voltage. This process can be achieved by releasing a trace amount of electrolyte solution or acid-base buffer on the electrode surface.

[0065] For example, the electrocardiograph can set the electrolyte concentration adjustment range to 60-120mmol / L, with an interval of 10mmol / L; the pH value adjustment range to 5.5-7.5, with an interval of 0.5. Starting from the standard state, it automatically adjusts every 2 minutes to calculate the voltage adjustment amount under the next sweat parameter.

[0066] S205: Determine whether the signal quality is less than a preset signal strength threshold.

[0067] After step S202, if it is detected that the signal quality under the current sweat parameters exceeds the preset signal strength threshold, the electrode voltage is adjusted. In the specific electrode voltage adjustment process, if the signal quality is less than the preset signal strength threshold, the electrode voltage is increased, otherwise, if the signal quality is greater than the preset signal strength threshold, the electrode voltage is reduced.

[0068] S206: Increase the electrode voltage.

[0069] When the signal quality is judged to be lower than the preset threshold, the electrocardiograph increases the electrode voltage, hoping to improve the signal-to-noise ratio by increasing the signal amplitude. The increase step size is a preset voltage increment, such as 0.1V, which is not limited here.

[0070] It should be noted that the upper limit of the voltage increase is determined by factors such as electrical safety and power consumption, and is usually no more than 2-3 V. If the voltage has reached the upper limit and the signal quality still does not meet the standard, the voltage increase will be stopped and an abnormal warning will be issued.

[0071] S207, reducing the electrode voltage.

[0072] When the signal quality is determined to be higher than the preset threshold, the electrocardiograph reduces the electrode voltage, hoping to improve the signal-to-noise ratio by increasing the signal amplitude. The reduction step is a preset voltage reduction, such as 0.1V, which is not limited here.

[0073] S208: Detect the signal quality after adjustment.

[0074] Regardless of increasing or decreasing the electrode voltage, the signal quality is evaluated after adjustment, and step S202 is performed again, the evaluated signal quality is compared with the preset signal strength threshold, and the process of S202-S208 is repeated until the signal quality is within the preset signal strength threshold.

[0075] In the above embodiment, the electrocardiograph records the electrode voltage before adjustment, and then gradually increases or decreases the electrode voltage according to the comparison result between the signal quality and the preset threshold value, until the signal quality after adjustment reaches the preset threshold value. Finally, the difference between the electrode voltage before and after adjustment is calculated to obtain the voltage adjustment amount under the sweat parameter condition. The appropriate voltage value can be found more accurately, excessive fluctuations in signal quality can be avoided, and the efficiency and reliability of voltage regulation can be improved.

[0076] The following is a more detailed description of the process of the method provided by this embodiment. Figure 3 As shown, it is another flow chart of a portable working method of an electrocardiograph in an embodiment of the present application.

[0077] S301, obtaining the user's body shape data and an image of the electrode placement positions.

[0078] Specifically, the user can input the body data of the patient to be monitored, such as height, weight, chest circumference and other body parameters, into the electrocardiograph. These data can be manually input by the user or automatically acquired using technologies such as 3D modeling. The user can use the camera module equipped with the electrocardiograph or terminal devices such as mobile phones to capture real-time images of electrode placement and send them to the electrocardiograph via wireless transmission.

[0079] It should be noted that the electrocardiograph provided in the present application includes a plurality of electrodes placed on the patient to be monitored, and a processing terminal wirelessly connected to the electrodes. The processing terminal may be an electronic device such as a mobile phone or a computer, which is not limited here.

[0080] S302: Determine the preset placement position of the electrode according to the body shape data and the preset placement rule.

[0081] After obtaining the user's body shape data, the electrocardiograph calculates the theoretical optimal position of the electrode according to the preset electrode placement rules. The electrode placement rules are empirical models derived from a large number of medical experiments and statistical analyses, which comprehensively consider the optimal electrode positions under different genders, ages, and body shapes. The electrocardiograph has built-in algorithm models for these rules, which can automatically calculate the coordinate position of the electrode on the chest through a computer program based on the user's actual body shape parameters, which are not limited here.

[0082] S303: Determine whether the electrode in the placement position picture conforms to the preset placement position.

[0083] The electrocardiograph uses an image recognition algorithm to analyze the electrode placement pictures uploaded by the user. The image recognition algorithm can identify the actual coordinates of the electrode in the picture by extracting the shape, size, position and other features of the electrode in the picture. Then, the actual coordinates are compared with the theoretical coordinates (i.e., the preset placement position) calculated in step S302 to determine whether the electrode is attached to the correct position. If so, proceed to subsequent steps such as S304 to collect ECG data normally; if not, proceed to step S312 to issue an early warning reminder.

[0084] S304. Collect ECG data normally.

[0085] When the electrocardiograph determines that the user has attached the correct electrode position, it can start collecting ECG signals. The built-in biosensor in the electrocardiograph can obtain the weak potential signal generated by the heart's electrical activity through the contact between the electrode and the skin, and convert it into a digital ECG waveform.

[0086] In the above embodiment, the electrocardiograph obtains the user's body shape data, calculates the optimal placement of the electrodes according to preset rules, and then uses an image recognition algorithm to analyze the electrode placement picture uploaded by the user to determine whether the actual electrode position meets the preset position. If not, an early warning reminder is issued to guide the user to correctly place the electrodes. Through human-computer interaction and intelligent image analysis, the correct placement of the electrodes is ensured, reducing signal quality problems caused by improper electrode placement.

[0087] S305, monitoring the relative position and contact pressure between the electrode and the skin contact surface in real time.

[0088] Specifically, the electrocardiograph can integrate micro displacement sensors on the electrodes to detect the position changes of the electrodes relative to the skin surface in real time. When the user is active or exercising, the electrodes may shift slightly or fall off. The displacement sensor can sensitively capture these position changes and feed back the signal to the control unit of the electrocardiograph. Once it detects that the electrode position deviation exceeds the preset threshold, the control unit triggers an early warning prompt to remind the user to adjust the electrode position in time.

[0089] At the same time, the electrocardiograph can also use micro pressure sensors to monitor the contact pressure between the electrode and the skin in real time. The pressure sensor measures the pressure applied by the electrode on the skin in real time and transmits the pressure data to the control unit. When it is detected that the pressure deviates abnormally from the preset range, the control unit can dynamically adjust the pressure through the step micro motor to keep the pressure in the optimal range.

[0090] S306, controlling the contact pressure to be within a preset pressure range through a micro motor.

[0091] Specifically, based on the real-time pressure monitoring in step S305, the control unit drives the micro motor to adjust the pressure according to the feedback data of the pressure sensor. When it is detected that the electrode pressure is lower than the lower limit of the preset range, the control unit instructs the motor to provide forward thrust to increase the contact pressure between the electrode and the skin. The motor continues to provide thrust until the pressure reaches the ideal range. Conversely, when the pressure exceeds the preset upper limit, the control unit drives the motor to withdraw backwards to reduce the electrode contact pressure until the pressure returns to the optimal range.

[0092] In the above embodiment, the electrocardiograph overcomes the problem of uneven contact between the electrode and the skin or unstable contact pressure through real-time pressure monitoring and dynamic adjustment, ensures the close fit of the electrode and the skin and the consistency of pressure, and reduces baseline drift or signal distortion caused by poor contact.

[0093] S307: Obtain interference conditions of different wireless channels.

[0094] Specifically, the electrocardiograph includes a wireless communication module that can support multiple frequency bands or channels. For each available channel, the communication module periodically performs interference detection. The indicators of interference detection mainly include signal strength, signal-to-noise ratio, bit error rate, etc.

[0095] S308: Determine the highest-scoring available channel according to the interference status and a preset scoring mechanism.

[0096] Specifically, the electrocardiograph extracts the indicator data such as signal strength, signal-to-noise ratio and bit error rate of each channel from the interference state generated in step S307. For each indicator, an ideal threshold and an acceptable threshold are set. For example, the ideal threshold of the signal-to-noise ratio is set to 30dB, and the acceptable threshold is set to 20dB; the ideal threshold of the bit error rate is set to 0.1%, and the acceptable threshold is set to 1%. Then, the electrocardiograph performs a threshold comparison on the indicator value of each channel. If the indicator is better than the ideal threshold, the item gets full marks; if the indicator is worse than the acceptable threshold, the item gets zero marks; if the indicator is between the two thresholds, the score is assigned according to the degree of proximity to the threshold, which is not limited here.

[0097] S309: When it is detected that the interference condition of the current wireless channel exceeds a preset interference threshold, automatically switch to an available channel to continue data transmission.

[0098] Specifically, based on the scores in step S308, the electrocardiograph selects the channel with the highest comprehensive score from the channel score vector as the main transmission channel, and the channel with the second highest comprehensive score as the backup channel. When any interference index of the current channel exceeds the threshold, it is determined that the current channel is seriously interfered, and automatically switches to the backup channel to continue data transmission.

[0099] In the above embodiment, the electrocardiograph selects the optimal channel through real-time monitoring and interference assessment to ensure the reliability and stability of data transmission. When faced with severe interference, it switches to an alternative channel in a timely manner to minimize the risk of data packet loss or error.

[0100] S310, sending the electrocardiogram data to the public medical terminal via the user terminal.

[0101] Specifically, the electrocardiograph sends the ECG data to the user terminal through the channel. The user terminal is generally the user's mobile phone or tablet computer, which is installed with a matching ECG monitoring APP. The APP not only provides users with a graphical operation interface and monitoring data visualization function, but also plays the role of a gateway for data forwarding. The user terminal accesses the Internet through a cellular mobile network or WiFi, and uploads the ECG data to the public medical service platform in the background.

[0102] S311. Display the abnormal identification results sent by the public medical terminal in real time on the user terminal.

[0103] Specifically, the public medical service platform deploys a professional ECG data analysis system that integrates a large-scale ECG abnormal pattern library and intelligent recognition algorithm. Every time a data packet is received, the system automatically analyzes it and sends the analysis results to the user terminal for real-time display.

[0104] In the above embodiment, the electrocardiograph sends data to the public medical terminal for abnormality identification, and displays the identification results to the user in real time. Combining the electrocardiograph with the diagnostic capabilities of professional medical institutions, remote electrocardiograph monitoring and real-time abnormality warning are realized.

[0105] S312: Issue an early warning reminder.

[0106] When the electrocardiograph detects that the actual electrode position attached by the user is inconsistent with the theoretical position, a warning prompt is given in time to guide the user to make adjustments. The warning prompt can be implemented in a variety of ways, such as voice broadcast, text description, schematic diagram, etc., which are not limited here.

[0107] The electrocardiograph in the embodiment of the present invention is an electronic device. Figure 4 A schematic diagram of the architecture of an electronic device suitable for implementing an embodiment of the present invention is shown.

[0108] It should be noted that Figure 4 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0109] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by instructions (computer programs), or by controlling related hardware through instructions (computer programs), and the instructions can be stored in a computer-readable storage medium and loaded and executed by a processor. The electronic device of this embodiment includes a storage medium and a processor, wherein a plurality of instructions are stored in the storage medium, and the instructions can be loaded by the processor to execute any step of the method provided in the embodiment of the present invention.

[0110] Specifically, the storage medium and the processor are electrically connected directly or indirectly to realize data transmission or interaction. For example, these elements can be electrically connected to each other through one or more signal lines. The storage medium stores computer execution instructions for implementing the data access control method, including at least one software function module that can be stored in the storage medium in the form of software or firmware. The processor executes various functional applications and data processing by running the software program and module stored in the storage medium. The storage medium can be, but is not limited to, random access storage medium (Random Access Memory, referred to as: RAM), read-only storage medium (Read Only Memory, referred to as: ROM), programmable read-only storage medium (Programmable Read-Only Memory, referred to as: PROM), erasable read-only storage medium (Erasable Programmable Read-Only Memory, referred to as: EPROM), electrically erasable read-only storage medium (Electric Erasable Programmable Read-Only Memory, referred to as: EEPROM), etc. Among them, the storage medium is used to store programs, and the processor executes the program after receiving the execution instruction.

[0111] Furthermore, the software programs and modules in the above-mentioned storage medium may also include an operating system, which may include various software components and / or drivers for managing system tasks (such as memory management, storage device control, power management, etc.), and may communicate with various hardware or software components to provide an operating environment for other software components. The processor may be an integrated circuit chip having signal processing capabilities. The above-mentioned processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc., which may implement or execute the various methods, steps, and logic flow diagrams disclosed in this embodiment. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0112] Since the instructions stored in the storage medium can execute the steps in any method provided in the embodiments of the present invention, the beneficial effects of any method provided in the embodiments of the present invention can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0113] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A portable working method of an electrocardiograph, applied to an electrocardiograph, characterized in that: The method comprises: Acquire sweat parameters and corresponding electrocardiogram data between the electrode and the skin contact surface under a standard electrode voltage, wherein the sweat parameters include electrolyte concentration and pH value, and the electrode is used to acquire the electrocardiogram data of the user; determining a signal quality corresponding to the electrocardiogram data; Adjusting the electrode voltage until the signal quality meets a preset signal strength threshold, and recording the voltage adjustment amount; Adjusting the sweat parameter at a preset interval under a standard electrode voltage to obtain a voltage adjustment amount corresponding to the electrocardiogram data under different sweat parameters; generating a voltage regulation curve according to the voltage regulation amount corresponding to the electrocardiogram data under the different sweat parameters; Determining an output voltage value of the electrode according to the current sweat parameter of the user and the voltage adjustment curve; The electrodes are controlled according to the output voltage value to obtain the electrocardiogram data of the user.

2. The method according to claim 1, characterized in that The step of adjusting the electrode voltage until the signal quality meets the preset signal strength threshold, recording the voltage adjustment amount specifically includes: Record the electrode voltage before adjustment; If it is detected that the signal quality is lower than a preset signal strength threshold, increasing the electrode voltage and detecting the adjusted signal quality again; If it is detected that the signal quality is higher than a preset signal strength threshold, reducing the electrode voltage and detecting the adjusted signal quality again; If it is detected that the signal quality after adjustment meets the preset signal strength threshold, the voltage adjustment amount is determined according to the difference between the current electrode voltage and the electrode voltage before adjustment; The current sweat parameters and the voltage adjustment amount are recorded.

3. The method according to claim 1, characterized in that Before the step of determining the output voltage value of the electrode according to the current sweat parameter of the user and the voltage adjustment curve, the method further includes: Obtain the user's body shape data and electrode placement images; Determining a preset placement position of the electrode according to the body shape data and a preset placement rule; Determining whether the electrode in the placement position picture conforms to the preset placement position based on an image recognition algorithm; If the electrode in the placement position picture does not conform to the preset placement position, an early warning reminder is issued; If the electrodes in the placement position picture do not conform to the preset placement positions, the ECG data collection is performed normally.

4. The method according to claim 3, characterized in that After the step of collecting ECG data normally if the electrodes in the placement position picture do not conform to the preset placement position, the method further includes: The relative position of the electrode and the skin contact surface is monitored in real time through a displacement sensor; If a deviation of the relative position is detected, a deviation warning is issued.

5. The method according to claim 3, characterized in that: After the step of collecting ECG data normally if the electrodes in the placement position picture do not conform to the preset placement position, the method further includes: The contact pressure between the electrode and the skin is monitored in real time by a pressure sensor; The contact pressure is controlled by a micro motor to be within a preset pressure range.

6. The method according to claim 1, characterized in that After the step of controlling the electrodes according to the output voltage value to obtain the user's electrocardiogram data, the method further includes: Obtaining interference conditions of different wireless channels, wherein the interference conditions include signal-to-noise ratio and interference intensity; Determining the highest-scoring available channel according to the interference condition and a preset scoring mechanism; When it is detected that the interference condition of the current wireless channel exceeds a preset interference threshold, the channel is automatically switched to the available channel to continue data transmission.

7. The method according to claim 1, characterized in that After the step of controlling the electrodes according to the output voltage value to obtain the user's electrocardiogram data, the method further includes: Sending the electrocardiogram data to a public medical terminal through a user terminal, wherein the public medical terminal is used to identify abnormalities in the electrocardiogram data; The abnormal identification results sent by the public medical end are displayed in real time on the user terminal.

8. An electrocardiograph, characterized in that: The electrocardiograph comprises: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, wherein the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the electrocardiograph to perform the method according to any one of claims 1 to 7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instructions are executed on an electrocardiograph, the electrocardiograph is caused to execute the method as claimed in any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on an electrocardiograph, the electrocardiograph is caused to perform the method according to any one of claims 1 to 7.

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