A wearable electrophysiological detection system

Abstract

The present invention discloses a wearable electrophysiological detection system, which relates to the field of physiological detection and comprises a physiological detection platform, wherein a user data acquisition module, a physiological data acquisition module, a data processing module, a data transmission module and a physiological evaluation module are communicatively connected; the user data acquisition module is used to acquire user data information and allocate a wearable detection device to the user according to the user data information; the physiological data acquisition module acquires a physiological detection signal corresponding to the user according to the wearable detection device; the data processing module determines whether the acquired physiological detection signal is valid; the data transmission module is used to encode the valid physiological detection signal, generate an encryption key according to the processing result, and perform encryption processing on the encoded signal; the physiological evaluation module is used to decrypt the acquired physiological detection signal and perform physiological evaluation on the decrypted physiological detection signal; the present invention improves the accuracy of physiological detection.

Description

Technical Field

[0001] The present invention relates to the field of physiological detection, and in particular to a wearable electrophysiological detection system. Background Art

[0002] With the development of society and the improvement of living standards, people pay more and more attention to their health status, and physiological detection systems are becoming more and more perfect. Traditional electrophysiological detection methods need to be performed through implanted or external devices, such as electrocardiograms and electroencephalograms. However, these methods have some limitations and defects. For example, they need to be frequently inserted, maintained, and replaced, which may cause discomfort and pain to the person being tested and may affect normal physiological functions.

[0003] However, in the process of performing physiological testing on users through wearable detection devices, the wearable detection devices cannot be adjusted or matched according to the user's body shape, which affects the accuracy of the physiological testing process to a certain extent. Therefore, how to improve the accuracy of the physiological testing process is a problem we need to solve. To this end, a wearable electrophysiological detection system is now provided. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide a wearable electrophysiological detection system.

[0005] The object of the present invention can be achieved by the following technical solutions: A wearable electrophysiological detection system includes a physiological detection platform, wherein the physiological detection platform is communicatively connected with a user data acquisition module, a physiological data acquisition module, a data processing module, a data transmission module and a physiological evaluation module;

[0006] The user data collection module is used to collect user data information, set the user account and its corresponding physiological detection area according to the user data information, and allocate the corresponding wearable detection device to it according to the physiological detection area;

[0007] The physiological data acquisition module is used to obtain the physiological detection signal corresponding to the user account according to the wearable detection device, classify and process the physiological detection signal, and set the user physiological detection link according to the classification result of the physiological detection signal corresponding to the user account;

[0008] The data processing module is used to analyze and process the physiological detection signal in the user's physiological detection link, determine whether the physiological detection signal is valid, and send the valid physiological detection signal to the data transmission module;

[0009] The data transmission module is used to encode the obtained valid user physiological detection link, generate an encryption key according to the encoding result, encrypt the user physiological detection link according to the encryption key, and transmit the encrypted user physiological detection link;

[0010] The physiological evaluation module is used to decrypt the transmitted user physiological detection link, obtain the physiological detection signals corresponding to different classification results, and perform physiological evaluation on them to obtain physiological evaluation results.

[0011] Furthermore, the process of collecting user data information by the user data collection module includes:

[0012] The user data acquisition module is provided with a user information acquisition unit; the user information acquisition unit is used for the user who uses the physiological detection platform to input the corresponding user identity information, verify the obtained user identity information, set the user account according to the verification result, and set the 3D scanning technology equipment. The 3D scanning technology equipment is used to collect the user body shape data of the corresponding user according to the user account, obtain the three-dimensional image of the human body according to the user body shape data, and send it to the user information processing unit.

[0013] Furthermore, the process of the user data collection module allocating corresponding wearable detection devices to users according to the user data information includes:

[0014] The user data collection module is provided with a user information processing unit;

[0015] The user information processing unit stores the detection areas of the detection targets corresponding to the detection sensors in the wearable detection devices of different models and the elastic detection distance intervals between the detection areas;

[0016] The obtained three-dimensional human body image is analyzed and processed to obtain the physiological detection areas in the three-dimensional human body image and the relative distance information between each physiological detection area; matching analysis is performed based on the relative distance information and the elastic detection distance intervals of different models of wearable detection devices, and the wearable detection device corresponding to the corresponding user account is obtained according to the matching result, and the user account and the wearable detection device are associated with each other.

[0017] Furthermore, the physiological data acquisition module obtains the physiological detection signal corresponding to the user account according to the wearable detection device, and sets the user physiological detection link, including:

[0018] The physiological data acquisition module is associated with each wearable detection device;

[0019] The wearable detection device is provided with different types of sensor devices, and the sensor devices are used to detect physiological detection signals in the corresponding physiological detection areas, and mark the obtained physiological detection signals according to the sensor device type and the acquisition time;

[0020] Classify the obtained physiological detection signals according to the sensor device type labeling result, set a storage subspace according to the classification result, and store the physiological detection signals in the storage subspace;

[0021] The obtained storage subspaces are integrated to set a user physiological detection link, which is associated with a corresponding user account and contains a physiological detection signal obtained by the user account.

[0022] Furthermore, the process of the data processing module determining whether the physiological detection signal in the user physiological detection link is valid includes:

[0023] Set a data detection cycle, and analyze and process the physiological detection signals corresponding to the collection time in the physiological detection link of the user in the data detection cycle;

[0024] Acquire historical physiological detection signals collected in each detection area corresponding to the wearable detection device, generate a historical data set according to the historical physiological detection signals, analyze and process the historical data set, and obtain a valid physiological signal interval in the corresponding detection area;

[0025] Compare and analyze the physiological detection signal per unit time in the data detection cycle with the corresponding valid physiological signal interval, judge whether the physiological detection signal corresponding to the unit time is valid according to the comparison and analysis result, and obtain the detection efficiency of the corresponding type of physiological detection signal in the data detection cycle according to the judgment result;

[0026] A detection efficiency threshold is preset, and the detection efficiency is compared with the detection efficiency threshold. According to the comparison and analysis results, it is determined whether the corresponding physiological detection signal has an abnormality. If no abnormality exists, the physiological detection signal is marked as valid and sent to the data transmission module.

[0027] Furthermore, the process of encoding the obtained valid user physiological detection link by the data transmission module includes:

[0028] Obtain the user physiological detection link corresponding to the valid physiological detection signal, set the coding data table according to the corresponding storage subspace in the user physiological detection link, map the physiological detection signal per unit time in the corresponding data detection cycle in the storage subspace to the coding data table, obtain the character information corresponding to the physiological detection signal in the corresponding storage subspace according to the coding data table, integrate the obtained character information, and obtain the coding information of the physiological detection signal in each storage subspace.

[0029] Further, the physiological detection signals are sequentially sorted according to the acquisition time sequence, the coding signals corresponding to the physiological detection signals are set as column codes, and the corresponding column codes are sequentially integrated according to the sorting result of the acquisition time sequence to obtain a link coding data table;

[0030] Analyze and process the coded information corresponding to the physiological detection signal in the storage subspace, and respectively make digital correspondences between the character strings corresponding to the coded information;

[0031] Setting corresponding operation symbols according to the sequence position corresponding to the coding information, performing operation processing according to the digital information corresponding to the character string of the coding information at the sequence position and the corresponding operation symbol, and sorting the coding information corresponding to the physiological detection signal from large to small according to the operation processing result;

[0032] Obtaining encoding information corresponding to the maximum and minimum physiological detection signals according to the sorting results;

[0033] Map the obtained encoding information to the link encoding data table to obtain the corresponding encryption key;

[0034] The corresponding user physiological detection link is encrypted according to the obtained encryption key.

[0035] Furthermore, the process of the physiological assessment module obtaining the physiological assessment result includes:

[0036] Decrypting the user physiological detection link according to the corresponding encryption key to obtain the physiological detection signals in each storage subspace in the user physiological detection link;

[0037] Obtaining a physiological normal signal fluctuation range of a physiological detection signal corresponding to the classification result;

[0038] Compare and analyze the obtained physiological detection signals with the fluctuation range of normal physiological signals respectively, judge whether the physiological detection signal corresponding to the classification result is abnormal according to the corresponding analysis results, and perform physiological evaluation on it according to the judgment results;

[0039] The physiological assessment module performs non-repetitive combination according to the classification results of abnormal historical physiological detection signals obtained by the corresponding wearable detection device, sets a disease-related knowledge graph according to the abnormal historical physiological detection signals and related disease information corresponding to the combination results, and sets a disease analysis algorithm in the disease-related knowledge graph according to the relationship between the corresponding disease type and the physiological detection signal;

[0040] The judgment results of the physiological detection signals in different storage subspaces in the user's physiological detection link are input into the corresponding disease analysis algorithm for analysis and processing to obtain the physiological evaluation results.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1. Collect user data information, obtain the corresponding physiological detection area according to the three-dimensional image of the human body in the user data information collected by the corresponding user, and set the corresponding wearable detection device for the user according to the physiological detection area corresponding to the user, so that the user can select the wearable detection device more accurately; in addition, by analyzing and processing the physiological detection signals obtained by the corresponding sensors in the wearable detection device, it is determined whether the obtained physiological detection signals are valid, and the valid physiological detection signals are analyzed and processed, thereby improving the accuracy of the user's electrophysiological detection process;

[0043] 2. Set the coding information of the corresponding physiological detection signal in the user account through the user physiological detection link, and encrypt the corresponding user physiological detection link according to the coding information to ensure the security of the corresponding user data information and physiological detection signals in the physiological detection platform to avoid theft. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a schematic diagram of a wearable electrophysiological detection system according to an embodiment of the present application. DETAILED DESCRIPTION

[0045] like Figure 1 As shown, a wearable electrophysiological detection system includes a physiological detection platform, wherein the physiological detection platform is communicatively connected with a user data acquisition module, a physiological data acquisition module, a data processing module, a data transmission module and a physiological evaluation module;

[0046] The user data collection module is used to collect user data information, allocate corresponding wearable detection devices to the user data information, and set detection processing nodes according to the wearable detection devices and corresponding user data information. The specific implementation process includes:

[0047] The user data collection module is provided with a user information collection unit and a user information processing unit;

[0048] The user information collection unit is provided with an information input subunit and an information collection subunit;

[0049] The information input subunit is used for the user who uses the physiological detection platform to input the corresponding user identity information, wherein the user identity information includes the user name, user gender, user age, user ID number, user's real-name authenticated mobile phone number and biometric data information for user verification;

[0050] Verify the obtained user identity information, and determine whether the verification is successful based on the verification result. If the verification is successful, generate a corresponding user account based on the user identity information;

[0051] The information collection subunit is provided with a user processing device, which is a corresponding 3D scanning technology device, and is used to collect the user body shape data corresponding to the user account, and the user body shape data is a three-dimensional image of the human body obtained by the corresponding 3D scanning technology device by projecting a grating or pipeline grid onto the human body surface and using an image sensor to capture the deformation of light; the obtained user body shape data is sent to the user information processing unit;

[0052] The user information processing unit analyzes and processes the user body shape data obtained according to the corresponding user account, and allocates the corresponding wearable detection device according to the analysis and processing result;

[0053] The wearable detection device is used to detect the electrophysiological signals of the human body, wherein a detection sensor is provided, and analysis and processing are performed according to the detection target corresponding to the corresponding detection sensor in the wearable detection device, and a detection area is set according to the detection target, and the detection target includes electrocardiogram detection, electroencephalogram detection, electromyogram detection and other physiological detection;

[0054] It should be further explained that, in the specific implementation process, the wearable detection device includes different models, the detection sensor types included in the wearable detection devices corresponding to different models are different, and the detection distance information between the detection areas corresponding to the wearable detection devices of different models is different;

[0055] A device storage space is set according to the model of the wearable detection device, wherein the device storage space stores the detection target, detection area and detection distance information between the detection areas corresponding to the corresponding wearable detection device, and an elastic detection distance interval is set according to the detection distance information of the wearable detection device and stored, wherein the elastic detection distance interval includes a range within which a corresponding sensor in the wearable detection device of the corresponding model can move;

[0056] Acquire a three-dimensional human body image in the user's body shape data, analyze and process the obtained three-dimensional human body image, compare and analyze the detection area of ​​the corresponding wearable detection device with the corresponding area in the three-dimensional human body image, and acquire the physiological detection area in the three-dimensional human body image;

[0057] Analyze and process each physiological detection area in the three-dimensional image of the human body to obtain relative distance information between each physiological detection area;

[0058] Perform comparative analysis based on the relative distance information and the elastic detection distance interval of the wearable detection device in the corresponding device storage space, and obtain the corresponding wearable detection device based on the comparative analysis result. Perform comparative analysis based on the relative distance information and the elastic detection distance interval of the wearable detection device in the corresponding device storage space, and obtain the corresponding wearable detection device based on the comparative analysis result;

[0059] The wearable detection device has a detection processing node inside, which is used to associate with the corresponding user account, and generate a user physiological detection link based on the association result. The user physiological detection link is used to store the physiological data information of the user account obtained by the corresponding wearable detection device.

[0060] The physiological data acquisition module is used to correlate with the corresponding wearable detection device and obtain the physiological detection signal obtained by the corresponding sensor in the corresponding wearable detection device according to the correlation result;

[0061] The physiological data acquisition module is provided with a physiological acquisition unit and a multifunctional integrated unit;

[0062] The physiological collection unit is associated with a corresponding sensor in the wearable detection device, and the corresponding sensor collects the physiological detection signal of the corresponding user;

[0063] Sensors include ECG sensors, EEG sensors, EMG sensors, and other sensors;

[0064] The ECG sensor is used to collect weak electrical signals generated by the heart, that is, to perform electrocardiogram detection and obtain electrocardiographic physiological detection signals;

[0065] The EEG sensor is used to collect weak electrical signals generated by the brain, that is, to perform electroencephalogram detection and obtain brain electrophysiological detection signals;

[0066] The EMG sensor is used to collect weak electrical signals generated by the skin, that is, to perform electromyography detection and obtain electromyographic physiological detection signals;

[0067] The other sensors are used to collect weak electrical signals generated by other parts, that is, to perform other physiological tests and obtain other physiological test signals;

[0068] Marking the obtained electrocardiographic physiological detection signals, electroencephalographic physiological detection signals, electromyographic physiological detection signals and other physiological detection signals according to the types of sensors corresponding to them, and sending the physiological detection signals that have completed the marking process to the multifunctional integrated unit;

[0069] The multifunctional integrated unit is used to obtain the physiological detection signal obtained by the wearable detection device and the corresponding user physiological detection link;

[0070] The multifunctional integrated unit is associated with a corresponding detection processing node, the detection processing node acquires a physiological detection signal obtained by a corresponding sensor in the wearable detection device, classifies and processes the corresponding physiological detection signal according to the physiological detection signal obtained by the corresponding sensor in the wearable detection device, and marks the corresponding physiological detection signal according to the classification result;

[0071] Obtaining the classification results of the physiological detection signals corresponding to the user account, and setting the corresponding storage subspace in the user physiological detection link according to the classification results;

[0072] The corresponding physiological detection signals are integrated and managed according to the obtained storage subspace, and the specific implementation process includes:

[0073] Acquire corresponding physiological detection signals and corresponding data acquisition time, and perform signal denoising processing on the corresponding physiological detection signals in corresponding storage subspaces according to the corresponding data acquisition time;

[0074] Setting filters to clean up data of corresponding physiological detection signals;

[0075] In each storage subspace, a corresponding standardized data processing algorithm is set according to the classification result of the physiological detection signal, and the physiological detection signals with different classification results are input into the standardized data processing algorithm to obtain the physiological detection signals after standardized processing;

[0076] The physiological detection signals obtained by the corresponding type of sensor and processed by the standardization are stored in the corresponding storage subspace in the user physiological detection link, and the stored user physiological detection link is sent to the data processing module;

[0077] It should be further explained that, in a specific implementation process, a data detection period is set in the user physiological detection link, and the data detection period is used to transmit the physiological detection signal obtained in the corresponding data detection period in the user physiological detection link.

[0078] The data processing module is used to obtain the physiological detection signal after integrated processing, analyze and process the obtained physiological detection signal, determine whether the physiological detection signal is valid, and send the physiological detection signal to the data transmission module according to the determination result. The specific implementation process includes:

[0079] The data processing module is used to obtain the user physiological detection link obtained in the corresponding wearable detection device, and perform analysis and processing according to the user physiological detection link;

[0080] Obtaining the first data detection cycle corresponding to the user account, analyzing and processing the physiological detection signal obtained by the corresponding wearable detection device in the first data detection cycle, and determining whether the corresponding physiological detection signal is valid;

[0081] Analyze and process the physiological detection signals obtained in the corresponding storage subspace in the user physiological detection link according to the unit time in the data detection cycle;

[0082] Acquire a detection area corresponding to a physiological detection signal in the storage subspace, and analyze and process the physiological detection signal in the physiological detection area corresponding to the detection area;

[0083] Acquire historical physiological detection signals collected in a corresponding detection area of ​​a corresponding wearable detection device, generate a historical data set according to the historical physiological detection signals, analyze and process the historical data set, and acquire a valid physiological signal interval in the corresponding detection area;

[0084] Compare and analyze the physiological detection signal corresponding to the storage subspace with the valid physiological signal interval corresponding to the data detection cycle;

[0085] If the physiological detection signal within a unit time belongs to the valid physiological signal interval, the unit time is marked as detection valid;

[0086] If the physiological detection signal within a unit time does not belong to the valid physiological signal interval, the unit time is marked as invalid detection;

[0087] According to the comparative analysis results, the detection efficiency per unit time within the data detection cycle is obtained;

[0088] Preset the detection efficiency threshold, and compare and analyze the obtained detection efficiency with the detection efficiency threshold:

[0089] If the detection efficiency is greater than or equal to the detection efficiency threshold, the physiological detection signal in the storage subspace is valid, and the corresponding storage subspace is marked as normal;

[0090] If the detection efficiency is less than the detection efficiency threshold, the physiological detection signal in the storage subspace is invalid, and the corresponding storage subspace is marked as abnormal;

[0091] Obtain the marking result of the corresponding storage subspace in the user's physiological detection link, and analyze and process the physiological detection signal corresponding to the wearable detection device according to the marking result;

[0092] Presetting a marked abnormality level interval according to the number of marked abnormalities, wherein the marked abnormality level interval includes a slight abnormality, a moderate abnormality, and a severe abnormality;

[0093] If it is a slight abnormality, the corresponding storage subspace is marked, and the data information in the next data detection cycle is obtained for repeated analysis, the analysis results are obtained, and the corresponding physiological detection signal in the storage subspace is marked;

[0094] If it is a moderate abnormality, the physiological detection signal in the next data detection cycle is obtained for analysis and processing. If it is still a moderate abnormality, it is marked as a device abnormality. If it is not a moderate abnormality, it is marked as a detection abnormality.

[0095] If it is a serious abnormality, it will be directly marked as a device abnormality;

[0096] The user physiological detection link corresponding to the abnormal physiological detection signal of the device is marked and stored according to the user account, stored in the cloud storage space corresponding to the corresponding user account, and marked according to the corresponding wearable detection device;

[0097] Re-acquire the corresponding wearable detection device to perform electrophysiological detection on the user until the physiological detection signals obtained by the wearable detection device are valid, then obtain the physiological detection signals in the next data detection cycle and store them in the corresponding user physiological detection link for storage.

[0098] The data transmission module is used to encrypt the integrated results of the obtained effective physiological detection signals, and send the encrypted physiological detection signals to the physiological evaluation module. The specific implementation process includes:

[0099] The data transmission module is used to obtain the user physiological detection link obtained in the detection processing node corresponding to the wearable detection device;

[0100] The wearable detection device is provided with a wireless transmission device, which is used to transmit the user physiological detection link obtained in the detection processing node and is associated with the corresponding data transmission module;

[0101] The data transmission module is used to encrypt the valid user physiological detection link in the wearable detection device and transmit it through the wireless transmission device according to the encryption result;

[0102] Obtaining physiological detection signals stored in the subspace within the user's physiological detection link;

[0103] A corresponding coding data table is set according to the storage subspace, wherein the coding data table sets corresponding random coding rows according to different unit times in the corresponding data detection cycle in the storage subspace, and the random coding rows corresponding to each unit time are integrated;

[0104] Mapping the physiological detection signal corresponding to the storage subspace into a coding data table according to the physiological detection signal per unit time in the data detection cycle, obtaining character information corresponding to the physiological detection signal in the corresponding storage subspace according to the coding data table, and setting the coding information of the physiological detection signal according to the character information;

[0105] Obtaining the coding information of the physiological detection signals in each storage subspace in the user's physiological detection link, and performing analysis and processing according to the obtained coding information;

[0106] Sort the physiological detection signals in sequence according to the acquisition time sequence, set the coding signals corresponding to the physiological detection signals as column codes, and integrate the corresponding column codes in sequence according to the sorting results of the acquisition time sequence to obtain a link coding data table;

[0107] The corresponding encryption key is selected according to the link coding data table, and the specific implementation process includes:

[0108] Analyze and process the coded information corresponding to the physiological detection signal in the storage subspace, and respectively make digital correspondences between the character strings corresponding to the coded information;

[0109] Setting corresponding operation symbols according to the sequence position corresponding to the coding information, performing operation processing according to the digital information corresponding to the character string of the coding information at the sequence position and the corresponding operation symbol, and sorting the coding information corresponding to the physiological detection signal from large to small according to the operation processing result;

[0110] Obtaining encoding information corresponding to the maximum and minimum physiological detection signals according to the sorting results;

[0111] Map the obtained encoding information to the link encoding data table to obtain the corresponding encryption key;

[0112] Encrypting the corresponding user physiological detection link according to the obtained encryption key;

[0113] The encrypted user physiological detection link is transmitted and sent to the physiological evaluation module.

[0114] The physiological assessment module is used to analyze and process the obtained physiological detection signals, perform physiological assessment according to different types of physiological detection signals, obtain physiological assessment results, and correlate them with corresponding user data information. The specific implementation process includes:

[0115] The physiological assessment module obtains the user physiological detection link corresponding to the user account, decrypts the user physiological detection link according to the corresponding encryption key, and obtains the physiological detection signals in each storage subspace in the user physiological detection link;

[0116] The physiological evaluation is performed according to the physiological detection signals in the storage subspace, and the specific implementation process includes:

[0117] Analyze and process the physiological detection signals in the storage subspace according to the classification results thereof;

[0118] Obtaining a physiological normal signal fluctuation range of a physiological detection signal corresponding to the classification result;

[0119] Compare and analyze the obtained physiological detection signals with the fluctuation range of normal physiological signals respectively, and judge whether the physiological detection signal corresponding to the classification result is abnormal according to the corresponding analysis results;

[0120] When the physiological detection signal belongs to the normal physiological signal fluctuation range, the physiological detection signal corresponding to the classification result does not have abnormality;

[0121] When the physiological detection signal does not belong to the normal physiological signal fluctuation range, the physiological detection signal corresponding to the classification result is abnormal;

[0122] Analyze and process the physiological detection signals that are abnormal according to the analysis results in the user's physiological detection link;

[0123] When the abnormal analysis result in the user's physiological detection link is of a single type, an evaluation is performed based on the single type of physiological detection signal to generate a physiological evaluation result;

[0124] When the abnormal analysis results in the user's physiological detection link are of multiple types, a comprehensive evaluation is performed based on the multiple types of physiological detection signals;

[0125] Analyze and process the physiological detection signals corresponding to the abnormal analysis results;

[0126] Analyze and process historical physiological detection signals obtained by corresponding wearable detection devices, perform non-repetitive combination according to classification results of historical physiological detection signals, set disease-related knowledge graph according to combination results, and set disease analysis algorithm according to distribution of corresponding historical physiological detection signals in combination results;

[0127] Obtain the corresponding disease-related knowledge graph based on the abnormal analysis results in the user's physiological detection link, analyze and process the physiological detection signals in the user's physiological detection link based on the disease analysis algorithm in the disease-related knowledge graph, and obtain the physiological evaluation results;

[0128] The obtained physiological assessment results are associated with the user account.

[0129] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A wearable electrophysiological detection system, comprising a physiological detection platform, characterized in that: The physiological detection platform is communicatively connected with a user data acquisition module, a physiological data acquisition module, a data processing module, a data transmission module and a physiological evaluation module; The user data collection module is used to collect user data information, and a user information collection unit is provided in the user data collection module; The user information acquisition unit is used to input the user identity information corresponding to the user using the physiological detection platform, verify the obtained user identity information, set the user account according to the verification result, and set the 3D scanning technology equipment, the 3D scanning technology equipment is used to collect the user body shape data of the corresponding user according to the user account, obtain the three-dimensional image of the human body according to the user body shape data, and send it to the user information processing unit; The process of setting a user account and its corresponding physiological detection area according to the user data information and allocating a corresponding wearable detection device to the physiological detection area includes: The user data collection module is provided with a user information processing unit; The user information processing unit stores the detection areas of the detection targets corresponding to the detection sensors in the wearable detection devices of different models and the elastic detection distance intervals between the detection areas; Analyze and process the obtained three-dimensional human body image to obtain the physiological detection areas in the three-dimensional human body image and the relative distance information between the physiological detection areas; perform matching analysis based on the relative distance information and the elastic detection distance intervals of different models of wearable detection devices, obtain the wearable detection device corresponding to the corresponding user account based on the matching result, and associate the user account with the wearable detection device; The physiological data acquisition module is used to obtain the physiological detection signal corresponding to the user account according to the wearable detection device, and classify and process it. The process of setting the user physiological detection link according to the classification result of the physiological detection signal corresponding to the user account includes: The physiological data acquisition module is associated with each wearable detection device; The wearable detection device is provided with different types of sensor devices, and the sensor devices are used to detect physiological detection signals in the corresponding physiological detection areas, and mark the obtained physiological detection signals according to the sensor device type and the acquisition time; Classify the obtained physiological detection signals according to the sensor device type labeling result, set a storage subspace according to the classification result, and store the physiological detection signals in the storage subspace; Integrate the obtained storage subspaces and set a user physiological detection link, wherein the user physiological detection link is associated with a corresponding user account, and includes a physiological detection signal obtained by the user account; The data processing module is used to analyze and process the physiological detection signal in the user's physiological detection link, determine whether the physiological detection signal is valid, and send the valid physiological detection signal to the data transmission module; The data transmission module is used to encode the obtained valid user physiological detection link, generate an encryption key according to the encoding result, encrypt the user physiological detection link according to the encryption key, and transmit the encrypted user physiological detection link; The physiological evaluation module is used to decrypt the transmitted user physiological detection link, obtain the physiological detection signals corresponding to different classification results, and perform physiological evaluation on them to obtain physiological evaluation results.

2. A wearable electrophysiological detection system according to claim 1, characterized in that: The process of the data processing module determining whether the physiological detection signal in the user physiological detection link is valid includes: Set a data detection cycle, obtain the physiological detection signal of the corresponding collection time in the user's physiological detection link according to the data detection cycle, and analyze and process it; Acquire historical physiological detection signals collected in each detection area corresponding to the wearable detection device, generate a historical data set according to the historical physiological detection signals, analyze and process the historical data set, and obtain a valid physiological signal interval in the corresponding detection area; Compare and analyze the physiological detection signal per unit time in the data detection cycle with the corresponding valid physiological signal interval, judge whether the physiological detection signal corresponding to the unit time is valid according to the comparison and analysis result, and obtain the detection efficiency of the corresponding type of physiological detection signal in the data detection cycle according to the judgment result; A detection efficiency threshold is preset, and the detection efficiency is compared with the detection efficiency threshold. According to the comparison and analysis results, it is determined whether the corresponding physiological detection signal has an abnormality. If no abnormality exists, the physiological detection signal is marked as valid and sent to the data transmission module.

3. A wearable electrophysiological detection system according to claim 2, characterized in that: The process of encoding the obtained valid user physiological detection link by the data transmission module includes: Obtain the user physiological detection link corresponding to the valid physiological detection signal, set the coding data table according to the corresponding storage subspace in the user physiological detection link, map the physiological detection signal per unit time in the corresponding data detection cycle in the storage subspace to the coding data table, obtain the character information corresponding to the physiological detection signal in the corresponding storage subspace according to the coding data table, integrate the obtained character information, and obtain the coding information of the physiological detection signal in each storage subspace.

4. A wearable electrophysiological detection system according to claim 3, characterized in that: Sort the physiological detection signals in sequence according to the acquisition time sequence, set the coding signals corresponding to the physiological detection signals as column codes, and integrate the corresponding column codes in sequence according to the sorting results of the acquisition time sequence to obtain a link coding data table; Analyze and process the coded information corresponding to the physiological detection signal in the storage subspace, and respectively make digital correspondences between the character strings corresponding to the coded information; According to the sequence position corresponding to the coding information, a corresponding operation symbol is set, and the digital information corresponding to the character string of the sequence position coding information and the corresponding operation symbol are operated and processed, and the coding information corresponding to the physiological detection signal is sorted from large to small according to the operation processing result; Obtaining encoding information corresponding to the maximum and minimum physiological detection signals according to the sorting results; Map the obtained encoding information to the link encoding data table to obtain the corresponding encryption key; The corresponding user physiological detection link is encrypted according to the obtained encryption key.

5. A wearable electrophysiological detection system according to claim 4, characterized in that: The process of obtaining the physiological assessment result by the physiological assessment module includes: Decrypting the user physiological detection link according to the corresponding encryption key to obtain the physiological detection signals in each storage subspace in the user physiological detection link; Obtaining a physiological normal signal fluctuation range of a physiological detection signal corresponding to the classification result; Compare and analyze the obtained physiological detection signals with the fluctuation range of normal physiological signals respectively, judge whether the physiological detection signal corresponding to the classification result is abnormal according to the corresponding analysis results, and perform physiological evaluation on it according to the judgment results; The physiological assessment module performs non-repetitive combination according to the classification results of abnormal historical physiological detection signals obtained by the corresponding wearable detection device, sets a disease-related knowledge graph according to the abnormal historical physiological detection signals and related disease information corresponding to the combination results, and sets a disease analysis algorithm in the disease-related knowledge graph according to the relationship between the corresponding disease type and the physiological detection signal; The judgment results of the physiological detection signals in different storage subspaces in the user's physiological detection link are input into the corresponding disease analysis algorithm for analysis and processing to obtain the physiological evaluation results.

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