Wearable traditional Chinese medicine intelligent pulse feeling watch and pulse feeling method
By adopting flexible photoelectric sensors and acceleration sensors on the traditional Chinese medicine intelligent pulse diagnosis watch, combined with signal processing and data fusion modules, the problems of low sensor accuracy and insufficient data protection are solved, and high-precision pulse wave monitoring and user privacy protection are achieved.
Patent Information
- Application Number
- CN202411880141.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-19
- Publication Date
- 2025-02-11
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing traditional Chinese medicine intelligent pulse diagnosis watches have shortcomings in terms of accuracy and applicability. The sensor accuracy is low and susceptible to external environment and motion interference, and insufficient data protection and privacy management.
A wearable traditional Chinese medicine intelligent pulse diagnosis watch is designed, using flexible photoelectric sensors and acceleration sensors, combined with signal processing modules and data fusion modules, realizing high-precision pulse wave signal acquisition and compensation, and ensuring user privacy through AES encryption and cloud data synchronization and data security.
It improves the accuracy and stability of pulse wave signals, adapts to different motion states, enhances the applicability and reliability of the equipment, and ensures user privacy and health data security.
Smart Images
Figure CN119405280A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent pulse diagnosis in traditional Chinese medicine, and in particular to a wearable intelligent pulse diagnosis watch and a pulse diagnosis method. Background Art
[0002] As one of the traditional diagnostic methods, TCM pulse diagnosis has a history of thousands of years. With the development of science and technology, more and more smart wearable devices have begun to integrate TCM pulse diagnosis technology, so as to use modern technology to assist the diagnosis process of traditional Chinese medicine. Wearable TCM smart pulse diagnosis watch is the product of this innovation. By combining the traditional pulse diagnosis method with advanced sensor technology, the monitoring and analysis of pulse is more accurate and efficient.
[0003] At present, there are some TCM smart pulse diagnosis watches on the market. These watches usually integrate sensor arrays, signal processing modules and data feedback systems. Through these devices, users can detect pulses at home or in daily life, obtain pulse information, and understand their physical health through corresponding analysis results. The advantage of these products is that they enable users to monitor their health at any time without being restricted by time and place, avoiding errors caused by manual operation during traditional TCM pulse diagnosis. At the same time, some devices also integrate real-time data analysis and health advice functions, which improves the convenience of health management.
[0004] However, existing TCM smart pulse diagnosis watches still have certain technical bottlenecks, especially in terms of accuracy and applicability. First, the sensors of existing devices have low accuracy and are easily disturbed by factors such as changes in the external environment and movement, resulting in instability of the pulse wave signal, which in turn affects the accuracy of the diagnosis results. Second, although some devices can monitor pulse signals in real time, their ability to compensate for pulse waves in motion is weak and they cannot effectively eliminate the impact of motion on the signal. Finally, existing technologies are deficient in data protection and privacy management, and users' personal health data is vulnerable to leakage risks. Summary of the invention
[0005] In view of the deficiencies in the prior art, the present invention provides a wearable Chinese medicine intelligent pulse diagnosis watch and a pulse diagnosis method to solve the problems.
[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a wearable Chinese medicine smart pulse diagnosis watch, the watch comprises: A watch body, a wristband 1 and a wristband 2, wherein the wristband 1 and the wristband 2 are fixedly connected to the left and right sides of the watch body respectively, a card slot is provided in the middle of the wristband 1, a card block is fixedly connected to the outer side of the wristband 2, the card block and the card slot are plugged together, an airbag is installed inside the wristband 1, a notch is provided in the middle of the wristband 2, the wristband 1 is slidably connected to the middle of the notch, the airbag is in contact with the outer side of the wristband 2, and three sensor arrays are installed on the inner walls of the wristband 1 and the wristband 2, and the three sensor arrays are respectively installed at the three positions of Cun, Guan and Chi on the wrist.
[0007] Preferably, the sensor array is a flexible photoelectric sensor, and the photoelectric sensor includes a rotation vector sensor and an acceleration sensor; The wristband 1 and the wristband 2 are both provided with a signal acquisition module, and the signal acquisition module includes a pulse signal processing circuit for receiving and processing the pulse signal collected by the photoelectric sensor.
[0008] The present invention also provides a pulse diagnosis system of a wearable Chinese medicine intelligent pulse diagnosis watch, comprising: A signal processing module, used for receiving the pulse signal from the watch and performing pre-processing, including low-pass filtering, band-pass filtering and wavelet transform processing; A data fusion module, used to fuse data from the acceleration sensor and the rotation vector sensor to compensate the pulse wave signal according to the wearer's motion state; The pulse wave analysis module is used to extract the time domain characteristics and frequency domain characteristics of the pulse signal and classify the pulse condition; The display and feedback module is used to display the pulse wave analysis results and provide health advice.
[0009] Preferably, the system further includes a privacy protection module, which is used to encrypt the collected pulse wave signal and user data. The encryption process adopts an AES algorithm, and the AES encryption formula is:
[0010] in, For the encrypted data, is the original data, Is the encryption key.
[0011] Preferably, the system further comprises: A data storage module, used to store the pulse wave signal collected by the pulse signal collection module and the processing result thereof, and the storage module can regularly back up the user's pulse data; The data synchronization module is used to synchronize the stored data with the remote server, ensure data sharing among multiple devices, and provide long-term tracking of user health data.
[0012] Preferably, the system further comprises: The user management module is used to access personal health data through user identity authentication to ensure user privacy and security. The module also supports multi-user account management for easy use by family members.
[0013] The present invention also provides a pulse diagnosis method using a wearable Chinese medicine intelligent pulse diagnosis watch, comprising the following steps: S1. The user wears the wearable TCM smart pulse diagnosis watch, and the sensor array collects the pulse wave signal; S2, preprocessing the collected pulse wave signal, removing noise and filtering; S3, combining the motion data of the acceleration sensor and the rotation vector sensor to compensate the pulse wave signal; S4, extracting the time domain features and frequency domain features of the pulse wave, including pulse amplitude, period and frequency; S5. Analyze and classify the pulse according to the pulse wave characteristics, and output the pulse classification result.
[0014] Preferably, S2 further includes using low-pass filtering, band-pass filtering and wavelet transform processing; High-frequency noise is removed by low-pass filtering, low-frequency interference is filtered out by band-pass filtering, and wavelet transform is used to further remove noise and improve signal quality.
[0015] Preferably, the time domain feature extraction in S4 includes the calculation of pulse wave amplitude and period, and the calculation formula of the pulse amplitude is:
[0016] in, is the pulse amplitude, is the maximum value of the pulse wave signal, is the minimum value of the pulse wave signal; The calculation formula of the pulse cycle is:
[0017] in, is the pulse cycle; is the peak time of the nth pulse wave; is the peak time of the n+1th pulse wave.
[0018] Preferably, the frequency domain feature extraction in S4 obtains the spectrum of the pulse wave by Fourier transform, and the formula of the Fourier transform is:
[0019] in, is the spectrum of the pulse wave (indicating the intensity of different frequency components); is the frequency (in Hz); It is the representation of the pulse wave signal in the time domain; For time; It is the imaginary unit representing the part of a complex number.
[0020] The present invention provides a wearable TCM intelligent pulse diagnosis watch and a pulse diagnosis method. It has the following beneficial effects: 1. The wearable TCM smart pulse diagnosis watch provided by the present invention can monitor and analyze pulse wave signals in real time, and provide comprehensive and accurate pulse data through a high-precision sensor array and signal processing module. This instant and continuous pulse wave monitoring can provide users with accurate health status feedback, help individuals identify potential cardiovascular abnormalities in a timely manner, and improve the efficiency of health management.
[0021] 2. The present invention can compensate for the pulse wave signal under different motion states by combining an acceleration sensor and a rotation vector sensor. This design effectively eliminates the interference of motion on the pulse signal, ensures the accuracy and stability of the measurement data, and adapts to different wearing scenarios, thereby improving the applicability and reliability of the device.
[0022] 3. The present invention can protect the privacy and security of users by adopting advanced data processing and encryption technologies. At the same time, through cloud data synchronization and storage functions, it ensures that the user's health data can be effectively preserved for a long time and accessed at any time, thereby providing reliable data support for long-term health management. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 A perspective view of the present invention; Figure 2 It is a structural schematic diagram of the card block of the present invention; Figure 3 is a system structure diagram of the present invention; Figure 4 is a system structure diagram of the signal acquisition module of the present invention; Figure 5 The figure is a flow chart of the method of the present invention.
[0024] Among them, 1. watch body; 2. wristband 1; 3. card slot; 4. wristband 2; 5. card block; 6. airbag; 7. notch. DETAILED DESCRIPTION
[0025] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0026] Please see attached Figure 1 -Attached Figure 5 The embodiment of the present invention provides a wearable TCM smart pulse diagnosis watch, the watch comprising: The watch body 1, wristband 1 2 and wristband 2 4 are respectively fixedly connected to the left and right sides of the watch body 1, a card slot 3 is provided in the middle of the wristband 1 2, and a card block 5 is fixedly connected to the outer side of the wristband 2 4, and the card block 5 and the card slot 3 are plugged and matched. The wristband 1 2 and the wristband 2 4 can be connected by the cooperation of the wristband 1 2, the wristband 2 4, the card slot 3 and the card block 5, so that the watch body 1 can be worn on the wrist, an air bag 6 is installed inside the wristband 1 2, and a notch 7 is provided in the middle of the wristband 2 4, and the wristband 1 2 is slidably connected in the middle of the notch 7, and the air bag 6 and the outer side of the wristband 2 4 are in contact, and the arrangement of the air bag 6 and the notch 7 can improve the stability of the watch body 1 and prevent it from falling off, and the inner walls of the wristband 1 2 and the wristband 2 4 are installed with three sensor arrays, and the three sensor arrays are respectively installed at the three positions of the wrist, namely, the inch, the guan and the chi, and the pulse wave signal can be collected through the sensor arrays.
[0027] Please see attached Figure 1 -Attached Figure 5 In a preferred embodiment of the present invention, the sensor array is a flexible photoelectric sensor, and the photoelectric sensor includes a rotation vector sensor and an acceleration sensor, wherein the flexible photoelectric sensor can provide accurate physiological signal acquisition function by detecting the pulse waveform, the rotation vector sensor is used to detect the change of the wearer's wrist posture, and judge the change angle of the wrist in space by the rotation vector technology, and the acceleration sensor is used to detect the movement state of the wearer's wrist and capture the acceleration change. At the same time, it can still maintain high-precision pulse wave signal acquisition in a complex environment, and reduce the signal error caused by movement or posture change, thereby ensuring the stability and accuracy of pulse monitoring; The wristband 1 2 and the wristband 2 4 are both provided with a signal acquisition module, which includes a pulse signal processing circuit for receiving and processing the pulse signal collected by the photoelectric sensor; Specifically: The signal acquisition module realizes efficient monitoring and precise analysis of the pulse wave signal through signal acquisition and processing, thereby improving the accuracy and processability of the signal.
[0028] Please see attached Figure 3 and attached Figure 4The present invention also provides a pulse diagnosis system of a wearable Chinese medicine intelligent pulse diagnosis watch, comprising: The signal processing module is used to receive the pulse signal from the watch and perform pre-processing, including low-pass filtering, band-pass filtering and wavelet transform processing. The signal processing module effectively removes noise and interference in the pulse signal through low-pass and band-pass filtering, ensuring the purity of the signal; The data fusion module is used to fuse the data from the acceleration sensor and the rotation vector sensor, and compensate the pulse wave signal according to the wearer's motion state. The data fusion module can maintain high accuracy of the pulse wave signal in a dynamic environment through real-time recognition and compensation of the motion state, thus avoiding the error caused by the wearer's motion in traditional devices, thereby improving the stability and reliability of the watch; The pulse wave analysis module is used to extract the time domain and frequency domain features of the pulse signal and classify the pulse condition. The design of the pulse wave analysis module combines the signal processing of modern medicine with traditional Chinese medicine pulse diagnosis, so that the watch can achieve high-precision pulse wave analysis and pulse condition classification; The display and feedback module is used to display the pulse wave analysis results and provide health advice. The design of the display and feedback module not only enables users to understand their pulse analysis results in real time, but also provides personalized health advice to help users better manage and improve their health conditions, thereby enhancing user experience and usage value.
[0029] Please see attached Figure 3 In a preferred embodiment of the present invention, the system further includes a privacy protection module, which is used to encrypt the collected pulse wave signal and user data. The encryption process adopts the AES algorithm. The AES encryption formula is:
[0030] in, For the encrypted data, is the original data, For encryption keys, pulse wave signals and user health data will be sent to the privacy protection module for encryption after collection, and then uploaded to the cloud or other storage devices. This process ensures that the user's personal privacy will not be leaked during data storage and transmission, and the encrypted data will be stored or transmitted in an encrypted format. Only the recipient with the correct key can decrypt and obtain the original data; By using the AES encryption algorithm, the privacy of the user's pulse wave signal and health data is fully protected during the collection, storage and transmission process. Even if the data is intercepted by a third party during the data transmission process, the thief cannot obtain the original information of the data because the data has been encrypted, thereby improving the customer's privacy.
[0031] Please see attached Figure 3 and attached Figure 4 In a preferred embodiment of the present invention, the system further comprises: The data storage module is used to store the pulse wave signal collected by the pulse signal acquisition module and its processing results. The storage module can regularly back up the user's pulse data. The data storage module supports a regular backup mechanism to ensure that the pulse data will not be lost due to emergencies. The system can be configured with a backup cycle (such as daily, weekly, and monthly) for data backup. The backup data will be saved in a dual backup system of local storage and cloud storage. The user's health data can be stored for a long time, which is convenient for health trend analysis and long-term monitoring, and improves the long-term use value of the pulse diagnosis watch; The data synchronization module is used to synchronize the stored data with the remote server, ensure that the data is shared among multiple devices, and provide long-term tracking of user health data. Through the calculation and analysis functions of the cloud server, the system can perform time series analysis on the user's pulse data, discover trend changes in health status, and feed back the results to the user. The data synchronization module can ensure that users can view and manage health data on multiple devices, enhance the versatility of the device and user experience, and also provide users with remote backup and recovery functions.
[0032] Please see attached Figure 3 In a preferred embodiment of the present invention, the system further comprises: The user management module is used to access personal health data through user authentication to ensure user privacy and security. The module also supports multi-user account management for easy use by family members. At the same time, the user management module ensures that only authenticated users can access personal health data. It also supports the management of multiple user accounts to facilitate family members to share watch devices and view their respective health data. Multiple accounts can share the same device for pulse detection, but the data and health assessment results of each account are independent. Through multiple authentication mechanisms, users' personal information and health data are strictly protected to prevent unauthorized access, and enable family members to share the same watch device while enjoying independent health records, enhancing the sharing of the device and the convenience of family health management.
[0033] Please see attached Figure 5 The present invention also provides a pulse diagnosis method of a wearable Chinese medicine intelligent pulse diagnosis watch, comprising the following steps: S1. The user wears the wearable TCM smart pulse diagnosis watch, and the sensor array collects the pulse wave signal. First, the user wears the TCM smart pulse diagnosis watch, and ensures that the wristband 1 2 and the wristband 2 4 fit the user's wrist. The three sensor arrays are respectively installed on the three pulse positions of the wrist, namely, Cun, Guan, and Chi. The sensor array collects the pulse wave signal of the wrist through flexible photoelectric sensors. These photoelectric sensors can efficiently capture the changes in the pulse wave and convert it into an electrical signal output. Each sensor array contains a rotation vector sensor and an acceleration sensor, which are used to monitor the motion state of the wearer so as to perform signal compensation in subsequent steps. S2. Preprocess the collected pulse wave signal, remove noise and filter it. Signal filtering can improve the quality of the pulse wave signal, remove motion artifacts and environmental interference, and make subsequent signal analysis more accurate. This not only ensures the accuracy of the data, but also provides a cleaner signal basis for pulse analysis and reduces the impact of errors. S3. Combine the motion data of the acceleration sensor and the rotation vector sensor to compensate the pulse wave signal. By combining the motion compensation technology, the signal deviation caused by the movement can be eliminated when the user is exercising, ensuring the authenticity and accuracy of the pulse signal. This is of great significance for wearing a watch for health monitoring in daily life or exercise, ensuring that the test results can maintain high accuracy in various activity states. S4. Extract the time domain and frequency domain features of the pulse wave, including pulse amplitude, period and frequency. By extracting the time domain and frequency domain features of the pulse wave, the changes of the pulse can be comprehensively analyzed, providing a scientific basis for subsequent pulse classification and health assessment. These features can help diagnose different pulse conditions, further realize intelligent assessment of the user's health status, and improve the accuracy and intelligence level of diagnosis; S5. Analyze and classify the pulse according to the pulse wave characteristics, and output the pulse category results. Through precise pulse analysis and classification, the system can accurately judge the user's health status according to the different characteristics of the pulse and provide personalized health advice to the user.
[0034] Please see attached Figure 5 In a preferred embodiment of the present invention, S2 further includes using low-pass filtering, band-pass filtering and wavelet transform processing; High-frequency noise is removed by low-pass filtering, low-frequency interference is filtered out by band-pass filtering, and wavelet transform is used to further remove noise and improve signal quality.
[0035] Specifically: the low-pass filter sets a cutoff frequency to attenuate the part of the signal that is higher than the frequency, thereby retaining the signal components below the frequency. The main frequency range of the pulse wave is usually between 0.5Hz and 4Hz, while the high-frequency noise is usually higher than this range, so the high-frequency noise beyond the pulse wave frequency band can be effectively removed. Through the processing of the band-pass filter, the signal quality can be further improved, the low-frequency drift and high-frequency noise in the pulse signal can be removed, and the effective pulse signal part can be retained, making the pulse wave signal clearer. The wavelet transform decomposes the signal into coefficients of different frequency bands by convolving the signal with a set of wavelet functions, and can extract the features in the signal and remove the noise.
[0036] Please see attached Figure 5 In a preferred embodiment of the present invention, the time domain feature extraction in S4 includes the calculation of the pulse wave amplitude and period, and the calculation formula of the pulse amplitude is:
[0037] in, is the pulse amplitude, is the maximum value of the pulse wave signal, It is the minimum value of the pulse wave signal. By calculating the pulse wave amplitude, it can reflect the intensity of blood flow, the contraction ability of the heart and the elasticity of blood vessels. Through this method, the diagnostic system can analyze the pulse more accurately and help traditional Chinese medicine diagnosis and health assessment; The pulse cycle is calculated as:
[0038] in, is the pulse cycle; is the peak time of the nth pulse wave; The peak time of the n+1th pulse wave. By calculating the pulse cycle, the changes in heart rate can be monitored in real time, reflecting the health status of the heart. If the cycle is abnormal, the system can issue a warning in time to help users identify potential cardiovascular problems. This calculation method provides another level of diagnostic basis for pulse analysis, improving the accuracy and reliability of pulse diagnosis.
[0039] Please see attached Figure 5 In a preferred embodiment of the present invention, the frequency domain feature extraction in S4 obtains the spectrum of the pulse wave by Fourier transform, and the frequency domain feature extraction in S4 obtains the spectrum of the pulse wave by Fourier transform. The formula of Fourier transform is:
[0040] in, is the spectrum of the pulse wave (indicating the intensity of different frequency components); is the frequency (in Hz); It is the representation of the pulse wave signal in the time domain; For time; It is an imaginary unit, representing the complex part. Through Fourier transform, the spectrum of the pulse wave signal in the frequency domain can be obtained, so as to analyze the intensity distribution of each frequency component in the signal, and the frequency domain features can be extracted in real time in the watch to provide timely feedback on the wearer's health status.
[0041] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. Wearable Chinese medicine smart pulse diagnosis watch, characterized in that the watch include: A watch body (1), a wristband 1 (2) and a wristband 2 (4), wherein the wristband 1 (2) and the wristband 2 (4) are respectively fixedly connected to the left and right sides of the watch body (1), a card slot (3) is provided in the middle of the wristband 1 (2), a card block (5) is fixedly connected to the outer side of the wristband 2 (4), the card block (5) and the card slot (3) are plugged together, an air bag (6) is installed inside the wristband 1 (2), a notch (7) is provided in the middle of the wristband 2 (4), the wristband 1 (2) is slidably connected to the middle of the notch (7), the air bag (6) and the outer side of the wristband 2 (4) are in contact, and three sensor arrays are installed on the inner walls of the wristband 1 (2) and the wristband 2 (4), and the three sensor arrays are respectively installed at three positions of the wrist, namely, the inch, the guan and the chi.
2. The wearable TCM smart pulse diagnosis watch according to claim 1, characterized in that: The sensing array is a flexible photoelectric sensor, and the photoelectric sensor includes a rotation vector sensor and an acceleration sensor; The wristband 1 (2) and the wristband 2 (4) are both provided with a signal acquisition module, and the signal acquisition module includes a pulse signal processing circuit for receiving and processing the pulse signal collected by the photoelectric sensor.
3. The pulse diagnosis system of the wearable Chinese medicine smart pulse diagnosis watch is characterized by: The wearable TCM smart pulse diagnosis watch according to claim 1 or 2 comprises: A signal processing module, used for receiving the pulse signal from the watch and performing pre-processing, including low-pass filtering, band-pass filtering and wavelet transform processing; A data fusion module, used to fuse data from the acceleration sensor and the rotation vector sensor to compensate the pulse wave signal according to the wearer's motion state; The pulse wave analysis module is used to extract the time domain characteristics and frequency domain characteristics of the pulse signal and classify the pulse condition; The display and feedback module is used to display the pulse wave analysis results and provide health advice.
4. The pulse diagnosis method of the wearable TCM intelligent pulse diagnosis watch according to claim 3 is characterized in that: The system further includes a privacy protection module, which is used to encrypt the collected pulse wave signal and user data. The encryption process uses an AES algorithm, and the AES encryption formula is: in, For the encrypted data, is the original data, Is the encryption key.
5. The pulse diagnosis method of the wearable TCM intelligent pulse diagnosis watch according to claim 3, characterized in that: The system further comprises: A data storage module, used to store the pulse wave signal collected by the pulse signal collection module and the processing result thereof, and the storage module can regularly back up the user's pulse data; The data synchronization module is used to synchronize the stored data with the remote server, ensure data sharing among multiple devices, and provide long-term tracking of user health data.
6. The pulse diagnosis method of the wearable TCM intelligent pulse diagnosis watch according to claim 3, characterized in that: The system further comprises: The user management module is used to access personal health data through user identity authentication to ensure user privacy and security. The module also supports multi-user account management for easy use by family members.
7. A pulse diagnosis method of a wearable Chinese medicine smart pulse diagnosis watch, characterized in that: Using the wearable TCM smart pulse diagnosis watch according to claim 1 or 2 comprises the following steps: S1. The user wears the wearable TCM smart pulse diagnosis watch, and the sensor array collects the pulse wave signal; S2, preprocessing the collected pulse wave signal, removing noise and filtering; S3, combining the motion data of the acceleration sensor and the rotation vector sensor to compensate the pulse wave signal; S4, extracting the time domain features and frequency domain features of the pulse wave, including pulse amplitude, period and frequency; S5. Analyze and classify the pulse according to the pulse wave characteristics, and output the pulse classification result.
8. The pulse diagnosis method of the wearable TCM intelligent pulse diagnosis watch according to claim 7, characterized in that: Said S2 further comprises using low pass filtering, band pass filtering and wavelet transform processing; High-frequency noise is removed by low-pass filtering, low-frequency interference is filtered out by band-pass filtering, and wavelet transform is used to further remove noise and improve signal quality.
9. The pulse diagnosis method of the wearable TCM intelligent pulse diagnosis watch according to claim 7, characterized in that: The time domain feature extraction in S4 includes the calculation of pulse wave amplitude and period, and the calculation formula of pulse amplitude is: in, is the pulse amplitude, is the maximum value of the pulse wave signal, is the minimum value of the pulse wave signal; The calculation formula of the pulse cycle is: in, is the pulse cycle; is the peak time of the nth pulse wave; is the peak time of the n+1th pulse wave.
10. The pulse diagnosis method of the wearable TCM intelligent pulse diagnosis watch according to claim 7, characterized in that: The frequency domain feature extraction in S4 obtains the spectrum of the pulse wave through Fourier transform, and the formula of Fourier transform is: in, is the spectrum of the pulse wave (indicating the intensity of different frequency components); is the frequency (in Hz); It is the representation of the pulse wave signal in the time domain; For time; It is the imaginary unit representing the part of a complex number.