Signal processing method and system based on wearable electrocardio acquisition

Abstract

The invention relates to the technical field of electrocardiosignal processing, in particular to a signal processing method and system based on wearable electrocardiogram collection. The method comprises the following steps: dividing a human body detection area and an electrocardio acquisition area; triggering a signal inspection request, receiving judgment data sent by the electrocardio acquisition area, performing matching processing between the human body detection area and the electrocardio acquisition area, and outputting a matching result; according to a matching result, dynamically adjusting the electrocardio acquisition area, receiving an electrocardio signal sent by the adjusted electrocardio acquisition area, and outputting the electrocardio signal; the system comprises a region division module, a collection region matching module and a region adjustment module. When heart health monitoring is carried out on a patient, the electrocardiosignal collected by the wearable electrocardiosignal collecting device is judged firstly, and after the data is confirmed to be the electrocardiosignal sent by the electrode at the correct position of the human body, signal processing is carried out, so that the accuracy of the electrocardiosignal is improved, and a foundation is laid for follow-up diagnosis.

Description

Technical Field

[0001] The present invention relates to the technical field of electrocardiogram (ECG) signal processing, and in particular to a signal processing method and system based on wearable ECG acquisition. Background Art

[0002] Wearable ECG data acquisition devices are a new category of innovative products that have emerged in recent years with the development of smart hardware and medical technology. They can conveniently and in real time collect users' ECG signals, providing important data support for cardiovascular health management. Currently, there are clothing-based devices on the market that simply require the patient to wear clothing, and the electrodes on the clothing collect ECG signals.

[0003] However, with the above structure, when the patient moves, such as returning to the bed after walking, or moving the body while sleeping, the wearable ECG acquisition device is likely to shift position on the body, resulting in inaccurate collected ECG signals and affecting subsequent diagnostic results. Summary of the Invention

[0004] The purpose of the present invention is to provide a signal processing method and system based on wearable ECG acquisition, aiming to solve the technical problem in the prior art that wearable ECG acquisition equipment is easily offset on the body, resulting in inaccurate collected ECG signals and affecting subsequent diagnostic results.

[0005] To achieve the above object, the present invention adopts a signal processing method based on wearable ECG acquisition, which includes the following steps: Divide the human body detection area and the ECG collection area, associate the human body detection area with the ECG collection area, and expand the buffer collection area for the ECG collection area; Trigger signal verification request, receive judgment data sent by ECG acquisition area, perform matching processing between human body detection area and ECG acquisition area, and output matching result; According to the matching results, the ECG acquisition area is dynamically adjusted, and the ECG signal sent by the adjusted ECG acquisition area is received and output.

[0006] Among them, in the steps of dividing the human body detection area and the ECG collection area, associating the human body detection area with the ECG collection area, and expanding the buffer collection area for the ECG collection area: Locate the human body and divide the human body detection area according to the location where the ECG signal is obtained; Based on the human anatomical model, the ECG collection area is divided on the wearable ECG collection device, and the ECG collection area is associated with the human body detection area.

[0007] After dividing the ECG collection area on the wearable ECG collection device based on the human anatomical model and associating the ECG collection area with the human detection area: Divide the buffer acquisition area, expand the buffer acquisition area for the ECG acquisition area, and establish a region mapping table.

[0008] Among them, in the step of triggering a signal check request, receiving judgment data sent by the ECG acquisition area, performing matching processing between the human body detection area and the ECG acquisition area, and outputting a matching result: When the wearable ECG acquisition device contacts the human body, a signal check request is triggered and the wearable ECG acquisition device is initially started; Obtain the judgment data collected in the ECG acquisition area, set the signal threshold, and output the matching data based on the judgment data and the signal threshold.

[0009] Among them, in the steps of obtaining judgment data collected in the ECG collection area, setting a signal threshold, and outputting matching data based on the judgment data and the signal threshold: Set the contact threshold, obtain the electrode contact status data collected in the ECG acquisition area, and judge the electrode contact status of the current ECG acquisition area based on the electrode contact status data and the contact threshold; Setting a first threshold, obtaining signal strength data collected in the ECG acquisition area, and determining ECG signal strength in the current ECG acquisition area based on the signal strength data and the first threshold; Setting a second threshold, obtaining noise level data collected in the ECG acquisition area, and determining the noise situation in the current ECG acquisition area based on the noise level data and the second threshold; Output the current ECG acquisition area matching data based on electrode contact, ECG signal strength and noise conditions.

[0010] Among them, in the step of outputting the current ECG acquisition area matching data according to the electrode contact, ECG signal strength and noise conditions: When the signal strength is greater than or equal to the contact threshold, the ECG signal strength is greater than or equal to the first threshold, and the noise is less than the second threshold, the current area is marked as the ECG acquisition area and the matching is successful.

[0011] Among them, in the step of outputting the current ECG acquisition area matching data according to the electrode contact, ECG signal strength and noise conditions: If one of the following conditions is not met: the signal strength is greater than or equal to the contact threshold, the ECG signal strength is greater than or equal to the first threshold, and the noise is less than the second threshold, the current area is marked as an interference area and the matching fails.

[0012] Among them, in the step of dynamically adjusting the ECG acquisition area according to the matching result, receiving the ECG signal emitted by the adjusted ECG acquisition area, and outputting it: Receive the matching result. If the matching fails, update the buffer acquisition area to the ECG acquisition area according to the area mapping table and perform matching.

[0013] Wherein, after receiving the matching result, if the matching fails, the buffer collection area is updated to the ECG collection area according to the area mapping table, and the matching step is performed: Receive ECG signals from the ECG collection area and perform real-time monitoring; Output ECG signals and real-time monitoring data respectively.

[0014] The present invention also provides a signal processing system based on wearable ECG acquisition, comprising a region division module, an acquisition region matching module, and a region adjustment module; wherein: The area division module is used to divide the human body detection area and the ECG acquisition area, associate the human body detection area with the ECG acquisition area, and expand the buffer acquisition area for the ECG acquisition area; The acquisition area matching module is used to trigger a signal inspection request, receive judgment data sent by the ECG acquisition area, perform matching processing between the human body detection area and the ECG acquisition area, and output a matching result; The region adjustment module is used to dynamically adjust the ECG acquisition region according to the matching result, receive the ECG signal sent by the adjusted ECG acquisition region, and output it.

[0015] The present invention provides a signal processing method and system based on wearable ECG acquisition, which utilizes the region division module, the acquisition region matching module, and the region adjustment module to perform the following process: dividing a human body detection region and an ECG acquisition region, associating the human body detection region with the ECG acquisition region, and expanding a buffer acquisition region for the ECG acquisition region; triggering a signal verification request, receiving judgment data emitted by the ECG acquisition region, performing matching processing between the human body detection region and the ECG acquisition region, and outputting a matching result; dynamically adjusting the ECG acquisition region based on the matching result, receiving and outputting an ECG signal emitted by the adjusted ECG acquisition region; and by first judging the ECG signal collected by the wearable ECG acquisition device when monitoring the patient's heart health, confirming that the data is an ECG signal emitted by the electrode at the correct position on the human body, and then performing signal processing, thereby improving the accuracy of the ECG signal and laying a foundation for subsequent diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1It is a flow chart of the signal processing method based on wearable ECG acquisition of the present invention.

[0018] Figure 2 It is a flowchart of the steps of the signal processing method based on wearable ECG acquisition of the present invention.

[0019] Figure 3 It is a step flow chart of S100 of the present invention.

[0020] Figure 4 It is a step flow chart of S200 of the present invention.

[0021] Figure 5 It is a step flow chart of S300 of the present invention.

[0022] Figure 6 This is a schematic diagram of the structure of the signal processing system based on wearable ECG acquisition of the present invention.

[0023] Figure 7 It is a structural principle diagram of the electronic device of the present invention.

[0024] 401-region division module, 402-acquisition region matching module, 403-region adjustment module. DETAILED DESCRIPTION

[0025] Exemplary embodiments are described in detail herein, with examples illustrated in the accompanying drawings. When the following description refers to the drawings, identical numerals in different drawings represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with this application.

[0026] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. As used in this application and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0027] It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0028] See also Figures 1 to 5The present invention provides a signal processing method based on wearable electrocardiogram acquisition, comprising the following steps: S100: Divide the human body detection area and the ECG acquisition area, associate the human body detection area with the ECG acquisition area, and expand a buffer acquisition area for the ECG acquisition area.

[0029] In this embodiment, the human body detection area and the ECG acquisition area are divided, the human body detection area is associated with the ECG acquisition area, and the ECG acquisition area is expanded into a buffer acquisition area. The specific steps are: S101: Locate the human body and divide the human body detection area according to the location where the ECG signal is obtained; S102: Based on the human anatomical model, divide the ECG collection area on the wearable ECG collection device, and associate the ECG collection area with the human body detection area; S103: Divide the buffer acquisition area, expand the buffer acquisition area for the ECG acquisition area, and establish an area mapping table.

[0030] Among them, in the steps of dividing the human body detection area and the ECG collection area, associating the human body detection area with the ECG collection area, and expanding the buffer collection area for the ECG collection area: Locate the human body and divide the human body detection area according to the location where the ECG signal is obtained; Based on the human anatomical model, the wearable ECG acquisition device is divided into ECG acquisition areas, and the ECG acquisition areas are associated with the human body detection areas; Divide the buffer acquisition area, expand the buffer acquisition area for the ECG acquisition area, and establish a region mapping table.

[0031] In the above process, the human body is located and the human body detection area is divided according to the acquisition point of the ECG signal; the human body is divided into a non-detection area and a detection area, wherein the location of the electrodes in the limb leads is based on the acquisition point of the ECG signal, such as the location of the electrodes in the limb leads: right upper limb (RA), left upper limb (LA), right lower limb (RL), left lower limb (LL); the location of the electrodes in the chest leads: the 4th intercostal space on the right edge of the sternum (V1), the 4th intercostal space on the left edge of the sternum (V2), the midpoint of the line connecting V2 and V4 (V3), the 5th intercostal space on the left midclavicular line (V4), the V4 level of the left anterior axillary line (V5), and the V4 level of the left midaxillary line (V6). Based on the human anatomical model, the wearable ECG acquisition device is divided into ECG acquisition areas and associated with the human detection area. The wearable ECG acquisition device must conform to the human body curve and be wearable. The wearable ECG acquisition device is divided into a non-acquisition area and a collection area. The non-acquisition area can be a wearable structure. The collection area includes the ECG acquisition area and the buffer acquisition area. The ECG acquisition area is where the ECG signal is acquired, and the buffer acquisition area is located around the ECG acquisition area. The buffer acquisition area is divided and expanded for the ECG acquisition area, and a region mapping table is established.

[0032] During the expansion of the buffer acquisition area, the original ECG acquisition area can be set as a circle with a radius of r, and the radius of the expanded buffer area is r+Δr; the expansion formula is: Buffer area = ECG acquisition area ⊕ expansion radius (Δr) .

[0033] Through area division: the detection area and collection area are dynamically divided through the human anatomical model and device sensors; buffer area: the collection area is expanded to ensure stable signal collection when the device position is fine-tuned; mapping table: the correspondence between the detection area, collection area and buffer area is established to facilitate signal processing and anomaly detection; it can adapt to the body position of different patients to improve the accuracy and robustness of ECG signal acquisition.

[0034] S200: triggering a signal check request, receiving judgment data sent by the ECG acquisition area, performing matching processing between the human body detection area and the ECG acquisition area, and outputting a matching result.

[0035] In this embodiment, a signal check request is triggered, judgment data sent by the ECG acquisition area is received, matching processing is performed between the human body detection area and the ECG acquisition area, and a matching result is output. The specific steps are: S201: When the wearable ECG acquisition device contacts a human body, a signal check request is triggered, and the wearable ECG acquisition device is initially started; S202: Obtain judgment data collected in the ECG collection area, set a signal threshold, and output matching data based on the judgment data and the signal threshold.

[0036] Among them, in the steps of obtaining judgment data collected in the ECG collection area, setting a signal threshold, and outputting matching data based on the judgment data and the signal threshold: Set the contact threshold, obtain the electrode contact status data collected in the ECG acquisition area, and judge the electrode contact status of the current ECG acquisition area based on the electrode contact status data and the contact threshold; Setting a first threshold, obtaining signal strength data collected in the ECG acquisition area, and determining ECG signal strength in the current ECG acquisition area based on the signal strength data and the first threshold; Setting a second threshold, obtaining noise level data collected in the ECG acquisition area, and determining the noise situation in the current ECG acquisition area based on the noise level data and the second threshold; The contact threshold is used to determine the contact status between the ECG acquisition electrodes and the human skin, ensuring good electrical contact between the electrodes and the skin to reduce signal interference and noise. The specific value of the contact threshold is determined based on experimental data and clinical experience. The contact threshold can be set by testing the signal quality under different electrode contact conditions and finding signal characteristics that can distinguish good from poor contact, such as the resistance value or capacitance change between the electrode and the skin.

[0037] The first threshold is used to determine whether the ECG signal is strong enough to ensure the collected signal has an adequate signal-to-noise ratio for subsequent analysis and processing. The specific value of the first threshold is determined based on the normal range and noise level of the ECG signal. This value is determined by analyzing a large amount of data from normal ECG signals and noise signals to find the lower limit of signal strength that can distinguish valid signals from noise, thereby setting the first threshold.

[0038] The second threshold is used to determine whether the noise level in the ECG signal is excessive, ensuring that the acquired signal quality meets diagnostic requirements. The specific value of the second threshold is determined based on the requirements of the ECG signal processing algorithm and clinical diagnostic standards. The second threshold is set by analyzing the impact of different noise levels on ECG signal processing results to find the upper limit of the noise level that ensures signal processing accuracy and reliability.

[0039] Output the current ECG acquisition area matching data based on electrode contact, ECG signal strength and noise conditions.

[0040] Among them, in the step of outputting the current ECG acquisition area matching data according to the electrode contact, ECG signal strength and noise conditions: When the signal strength is greater than or equal to the contact threshold, the ECG signal strength is greater than or equal to the first threshold, and the noise is less than the second threshold, the current area is marked as the ECG acquisition area and the matching is successful; If one of the following conditions is not met: the signal strength is greater than or equal to the contact threshold, the ECG signal strength is greater than or equal to the first threshold, and the noise is less than the second threshold, the current area is marked as an interference area and the matching fails.

[0041] During this process, when the wearable ECG acquisition device touches a human body, a signal verification request is triggered, initially activating the wearable ECG acquisition device. The ECG acquisition area captures the body's weak electrical signals through electrodes. After preprocessing through amplification and filtering, it generates a digital signal, which is the judgment data.

[0042] Obtain judgment data collected in the ECG acquisition area, where the judgment data includes electrode contact status, signal strength, and noise level, set a signal threshold, and output matching data based on the judgment data and signal threshold.

[0043] In the process of obtaining matching data: Set the contact threshold, obtain the electrode contact status data collected in the ECG acquisition area, and judge the electrode contact status of the current ECG acquisition area based on the electrode contact status data and the contact threshold; Setting a first threshold, obtaining signal strength data collected in the ECG acquisition area, and determining ECG signal strength in the current ECG acquisition area based on the signal strength data and the first threshold; A second threshold is set to obtain noise level data collected in the ECG collection area, and the noise situation in the current ECG collection area is determined based on the noise level data and the second threshold.

[0044] Among them, the judgment data collected in the ECG collection area can be D It is expressed in the following format: D={contact status, signal strength (dB), noise level (dB)} ; Output the current ECG acquisition area matching data based on electrode contact, ECG signal strength and noise conditions.

[0045] When the signal strength is greater than or equal to the contact threshold, the ECG signal strength is greater than or equal to the first threshold, and the noise is less than the second threshold, the current area is marked as the ECG acquisition area and the matching is successful; If one of the following conditions is not met: the signal strength is greater than or equal to the contact threshold, the ECG signal strength is greater than or equal to the first threshold, and the noise is less than the second threshold, the current area is marked as an interference area and the matching fails.

[0046] For example, based on the judgment data, the following matching rules are executed: If the contact status is "good", the signal strength is greater than the threshold T1, and the noise level is less than the threshold T2, the match is successful.

[0047] If the noise level is greater than the threshold T2, it is marked as an interference area.

[0048] Matching formula: Matching result = ; Return the matching result, where "1" indicates a successful match and "0" indicates a failed match, and output the corresponding area identifier.

[0049] When the wearable ECG acquisition device contacts the human body, a signal inspection request is triggered and the wearable ECG acquisition device is initially started; the judgment data collected in the ECG acquisition area is obtained, and the signal threshold is set. According to the judgment data and the signal threshold, the matching data is output to automatically detect the validity of the ECG signal and ensure the accuracy of the contact position between the acquisition area and the human body.

[0050] S300: Dynamically adjust the ECG acquisition area according to the matching result, receive and output the ECG signal from the adjusted ECG acquisition area.

[0051] In this embodiment, the ECG acquisition area is dynamically adjusted according to the matching result, and the ECG signal emitted by the adjusted ECG acquisition area is received and output. The specific steps are: S301: receiving a matching result. If the matching fails, updating the buffer acquisition area to the ECG acquisition area according to the area mapping table and performing matching; S302: Receive ECG signals from the ECG acquisition area and perform real-time monitoring; S303: Outputting the ECG signal and real-time monitoring data respectively.

[0052] During the above process, the matching result is received. If the match fails, the region mapping table is queried to obtain the buffered acquisition region corresponding to the current detection region. The buffered acquisition region is updated to the new ECG acquisition region, and matching is performed again to verify the validity of the new acquisition region. The ECG signal from the ECG acquisition region is received and the signal quality, such as signal amplitude, frequency, and noise level, is monitored in real time. The ECG signal and real-time monitoring data are output separately.

[0053] Through dynamic adjustment: dynamically adjust the ECG acquisition area according to the matching results to ensure signal quality; matching failure processing: when the matching fails, switch to the buffer acquisition area and re-match; signal reception and monitoring: receive ECG signals and perform real-time monitoring; data output: output the processed ECG signals and real-time monitoring data for reference, which can adapt to the body position and signal quality of different users, and improve the accuracy and reliability of ECG signal acquisition.

[0054] In the present invention, the human body detection area and the ECG acquisition area are first divided, the ECG acquisition area is associated with the human body detection area, and the buffer acquisition area is expanded for the ECG acquisition area; then a signal inspection request is triggered, the judgment data sent by the ECG acquisition area is received, matching processing is performed between the human body detection area and the ECG acquisition area, and the matching result is output; finally, according to the matching result, the ECG acquisition area is dynamically adjusted, the ECG signal sent by the adjusted ECG acquisition area is received and output; when monitoring the patient's heart health, the ECG signal collected by the wearable ECG acquisition device is first judged, and the signal processing is performed after confirming that the data is the ECG signal sent by the electrode at the correct position on the human body, thereby improving the accuracy of the ECG signal and laying the foundation for subsequent diagnosis.

[0055] Corresponding to the aforementioned embodiment of the signal processing method based on wearable ECG acquisition, the present application also provides an embodiment of a signal processing system based on wearable ECG acquisition.

[0056] Figure 6 This is a block diagram of a signal processing system based on wearable ECG acquisition according to an exemplary embodiment. Figure 6 The system may include: a region division module 401, a collection region matching module 402, and a region adjustment module 403; wherein: The area division module 401 is used to divide the human body detection area and the ECG acquisition area, associate the human body detection area with the ECG acquisition area, and expand the buffer acquisition area for the ECG acquisition area; The acquisition area matching module 402 is used to trigger a signal verification request, receive the judgment data sent by the ECG acquisition area, perform matching processing between the human body detection area and the ECG acquisition area, and output a matching result; The region adjustment module 403 is used to dynamically adjust the ECG acquisition region according to the matching result, receive and output the ECG signal from the adjusted ECG acquisition region.

[0057] In this embodiment, the region division module 401 divides the human body detection region and the ECG acquisition region, associates the human body detection region with the ECG acquisition region, and expands the buffer acquisition region for the ECG acquisition region. The acquisition region matching module 402 triggers a signal verification request, receives judgment data from the ECG acquisition region, performs matching processing between the human body detection region and the ECG acquisition region, and outputs a matching result. The region adjustment module 403 dynamically adjusts the ECG acquisition region based on the matching result, receives and outputs the ECG signal from the adjusted ECG acquisition region. By first judging the ECG signal collected by the wearable ECG acquisition device during cardiac health monitoring of a patient, confirming that the data is ECG signal generated by the electrodes at the correct position on the human body, and then performing signal processing, the accuracy of the ECG signal is improved, laying the foundation for subsequent diagnosis.

[0058] Regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0059] For the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described above is only schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this application. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0060] Accordingly, the present application also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned signal processing method based on wearable ECG acquisition. Figure 7 As shown in FIG, a hardware structure diagram of a signal processing system based on wearable ECG acquisition provided by an embodiment of the present invention is provided in any device with data processing capability, except Figure 7 In addition to the processor, memory, and network interface shown, any device with data processing capabilities in which the apparatus in the embodiment is located may also include other hardware, generally based on the actual functions of the device with data processing capabilities, which will not be described in detail.

[0061] Accordingly, the present application also provides a computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, implement the signal processing method based on wearable ECG acquisition as described above. The computer-readable storage medium can be an internal storage unit of any device with data processing capabilities as described in any of the aforementioned embodiments, such as a hard disk or memory. The computer-readable storage medium can also be an external storage device, such as a plug-in hard disk, a smart media card (SMC), an SD card, a flash card, etc. equipped on the device. Furthermore, the computer-readable storage medium can also include both an internal storage unit and an external storage device of any device with data processing capabilities. The computer-readable storage medium is used to store the computer program and other programs and data required by any device with data processing capabilities, and can also be used to temporarily store data that has been output or is to be output.

[0062] Those skilled in the art will readily conceive of other embodiments of the present application after considering the specification and practicing the contents disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of this application and include common knowledge or customary techniques in the art that are not disclosed in this application.

[0063] It will be understood that the present application is not limited to the exact construction that has been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof.

Claims

1. A signal processing method based on wearable electrocardiogram acquisition, characterized in that: The steps include: Divide the human body detection area and the ECG collection area, associate the human body detection area with the ECG collection area, and expand the buffer collection area for the ECG collection area; Trigger signal verification request, receive judgment data sent by ECG acquisition area, perform matching processing between human body detection area and ECG acquisition area, and output matching result; According to the matching results, the ECG acquisition area is dynamically adjusted, and the ECG signal sent by the adjusted ECG acquisition area is received and output.

2. The signal processing method based on wearable ECG acquisition according to claim 1, characterized in that: In the steps of dividing the human body detection area and the ECG collection area, associating the human body detection area with the ECG collection area, and expanding the buffer collection area for the ECG collection area: Locate the human body and divide the human body detection area according to the location where the ECG signal is obtained; Based on the human anatomical model, the ECG collection area is divided on the wearable ECG collection device, and the ECG collection area is associated with the human body detection area.

3. The signal processing method based on wearable ECG acquisition according to claim 2, characterized in that: After dividing the ECG acquisition area on the wearable ECG acquisition device based on the human anatomical model and associating the ECG acquisition area with the human detection area: Divide the buffer acquisition area, expand the buffer acquisition area for the ECG acquisition area, and establish a region mapping table.

4. The signal processing method based on wearable ECG acquisition according to claim 3, characterized in that: In the steps of triggering a signal check request, receiving judgment data from the ECG acquisition area, performing matching processing between the human body detection area and the ECG acquisition area, and outputting a matching result: When the wearable ECG acquisition device contacts the human body, a signal check request is triggered and the wearable ECG acquisition device is initially started; Obtain the judgment data collected in the ECG acquisition area, set the signal threshold, and output the matching data based on the judgment data and the signal threshold.

5. The signal processing method based on wearable ECG acquisition according to claim 4, characterized in that: In the steps of obtaining judgment data collected in the ECG acquisition area, setting the signal threshold, and outputting matching data based on the judgment data and the signal threshold: Set the contact threshold, obtain the electrode contact status data collected in the ECG acquisition area, and judge the electrode contact status of the current ECG acquisition area based on the electrode contact status data and the contact threshold; Setting a first threshold, obtaining signal strength data collected in the ECG acquisition area, and determining ECG signal strength in the current ECG acquisition area based on the signal strength data and the first threshold; Setting a second threshold, obtaining noise level data collected in the ECG acquisition area, and determining the noise situation in the current ECG acquisition area based on the noise level data and the second threshold; Output the current ECG acquisition area matching data based on electrode contact, ECG signal strength and noise conditions.

6. The signal processing method based on wearable ECG acquisition according to claim 5, characterized in that: In the step of outputting the matching data of the current ECG acquisition area based on electrode contact, ECG signal strength, and noise conditions: When the signal strength is greater than or equal to the contact threshold, the ECG signal strength is greater than or equal to the first threshold, and the noise is less than the second threshold, the current area is marked as the ECG acquisition area and the matching is successful.

7. The signal processing method based on wearable ECG acquisition according to claim 6, characterized in that: In the step of outputting the matching data of the current ECG acquisition area based on electrode contact, ECG signal strength, and noise conditions: If one of the following conditions is not met: the signal strength is greater than or equal to the contact threshold, the ECG signal strength is greater than or equal to the first threshold, and the noise is less than the second threshold, the current area is marked as an interference area and the matching fails.

8. The signal processing method based on wearable ECG acquisition according to claim 7, characterized in that: In the steps of dynamically adjusting the ECG acquisition area according to the matching result, receiving the ECG signal from the adjusted ECG acquisition area, and outputting it: Receive the matching result. If the matching fails, update the buffer acquisition area to the ECG acquisition area according to the area mapping table and perform matching.

9. The signal processing method based on wearable ECG acquisition according to claim 8, characterized in that: After receiving the matching result, if the matching fails, the buffer acquisition area is updated to the ECG acquisition area according to the area mapping table and the matching steps are performed: Receive ECG signals from the ECG collection area and perform real-time monitoring; Output ECG signals and real-time monitoring data respectively.

10. A signal processing system based on wearable ECG acquisition, applied to the signal processing method based on wearable ECG acquisition according to claim 1, characterized in that: It includes the area division module, the acquisition area matching module, and the area adjustment module; among which: The area division module is used to divide the human body detection area and the ECG acquisition area, associate the human body detection area with the ECG acquisition area, and expand the buffer acquisition area for the ECG acquisition area; The acquisition area matching module is used to trigger a signal inspection request, receive judgment data sent by the ECG acquisition area, perform matching processing between the human body detection area and the ECG acquisition area, and output a matching result; The region adjustment module is used to dynamically adjust the ECG acquisition region according to the matching result, receive the ECG signal sent by the adjusted ECG acquisition region, and output it.

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