Pulse diagnosis system and methods

Abstract

This application discloses a pulse diagnosis system and method. The pulse diagnosis system includes a transceiver module, a control module, and a processing device. The transceiver module, based on execution commands output by the control module, alternately emits red light, infrared light, and green light towards the radial artery, and receives the first photoplethysmogram (PPG) signal, a second PPG signal, and a third PPG signal formed by the reflected light from the red light, infrared light, and green light, respectively. The control module outputs detection information based on the first, second, and third PPG signals received by the transceiver module. After receiving the detection information from the control module, the processing device determines the pulse type according to a classification program. Therefore, pulse characteristics can be analyzed through optical sensing signals, eliminating the need for pressure sensing elements and pressing structures, and offering advantages such as simple structure and ease of use.

Description

Technical Field

[0001] This application relates to a pulse diagnosis system and method, and more particularly to a pulse diagnosis system and method based on optical sensing. Background Technology

[0002] In Traditional Chinese Medicine (TCM), pulse diagnosis refers to the strength, speed, and depth of the pulse. Since pulse diagnosis is related to the heartbeat, the balance of Qi and blood, and the coordinated function of various internal organs, it is generally performed by a TCM practitioner to determine the type of pulse and thus infer the patient's physical condition.

[0003] However, since pulse diagnosis relies on human judgment, it is easily limited by the personal experience and subjective differences of TCM practitioners. Therefore, young TCM practitioners have a poor grasp of pulse diagnosis and need to use pulse diagnosis systems for auxiliary diagnosis.

[0004] In view of this, relevant manufacturers have proposed a pulse diagnosis system with a pressure sensing element. The system quantifies the user's pulse by pressing the user's radial artery with a pressing structure and sensing the pulse with the pressure sensing element. However, when the same user uses this pulse diagnosis system, the pressure sensing element will produce different sensing results due to different pressures applied to the radial artery by the pressing structure, which will lead to different diagnostic results.

[0005] Therefore, how to provide a pulse diagnosis system that solves the above problems is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0006] This application provides a pulse diagnosis system and method that can effectively solve the problem that when the same user uses a pulse diagnosis system equipped with a pressure sensing element, different pressures applied to the radial artery by the pressing structure can lead to different diagnostic results.

[0007] This application provides a pulse diagnosis system, comprising: a transceiver module, a control module, and a processing device. The control module is connected to the transceiver module, and the processing device is connected to the control module. The transceiver module, based on execution commands, alternately emits red light, infrared light, and green light towards the radial artery, and receives the reflected light from the red, infrared, and green light to form a first photoplethysmography (PPG) signal, a second PPG signal, and a third PPG signal, respectively. The control module receives control commands from the processing device and outputs execution commands to the transceiver module, and outputs corresponding detection information based on the first, second, and third PPG signals received by the transceiver module in each round. The processing device transmits control commands to the control module and, after receiving multiple detection information from the control module, determines the pulse type according to a classification procedure.

[0008] This application also provides a pulse diagnosis method, which includes the following steps: after receiving a control command from a processing device, the control module outputs an execution command to the transceiver module; the transceiver module, based on the execution command, alternately emits red light, infrared light, and green light to the radial artery, and receives the first PPG signal, second PPG signal, and third PPG signal corresponding to the reflected light of the red light, infrared light, and green light, respectively; the control module outputs corresponding detection information to the processing device based on the first PPG signal, second PPG signal, and third PPG signal received by the transceiver module in each round; and after receiving multiple detection information from the control module, the processing device determines the pulse type according to a classification procedure.

[0009] In this embodiment, the pulse diagnosis system and method analyze pulse characteristics using optical sensing signals (i.e., the first PPG signal corresponding to red light, the second PPG signal corresponding to infrared light, and the third PPG signal corresponding to green light). This solves the problem in pulse diagnosis systems equipped with pressure sensing elements where varying pressure applied to the radial artery by the pressing mechanism affects diagnostic results. Furthermore, the pulse diagnosis system receives the first, second, and third PPG signals via a transceiver module, eliminating the need for pressure sensing elements and pressing mechanisms, thus offering advantages such as simple structure and ease of use. Attached Figure Description

[0010] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0011] Figure 1 This is a block diagram of an embodiment of the pulse diagnosis system according to this application;

[0012] Figure 2 This is a flowchart of an embodiment of the pulse diagnosis method according to this application;

[0013] Figure 3 for Figure 2 A flowchart of an embodiment of the classification procedure described in step 240;

[0014] Figure 4 The third PPG signal is used to identify a deep pulse.

[0015] Figure 5 The third PPG signal is used to determine a floating pulse;

[0016] Figure 6 for Figure 3 A flowchart of an embodiment of step 242;

[0017] Figure 7This is a graph showing the relationship between the amplitude ratio of the first PPG signal and the second PPG signal and the heart rate in the detection information of multiple users whose pulse is known to be a floating pulse.

[0018] Figure 8 for Figure 7 A distribution diagram showing that the amplitude ratio between the first PPG signal and the second PPG signal is greater than a first preset value;

[0019] Figure 9 for Figure 8 The data points were converted into a distribution diagram showing the relationship between heart rate and the rise time of the second PPG signal;

[0020] Figure 10 for Figure 9 The distribution diagram of the rise time of the second PPG signal between the first rise time and the second rise time;

[0021] Figure 11 for Figure 10 The data points were converted into a distribution graph showing the relationship between heart rate and the rising slope of the second PPG signal;

[0022] Figure 12 This is a graph showing the relationship between the amplitude ratio of the first PPG signal and the second PPG signal and the heart rate in the detection information of multiple users whose pulse is known to be a deep pulse.

[0023] Figure 13 for Figure 12 A distribution diagram showing that the amplitude ratio between the first PPG signal and the second PPG signal is less than a second preset value;

[0024] Figure 14 for Figure 13 The data points were converted into a distribution diagram showing the relationship between heart rate and the rise time of the second PPG signal;

[0025] Figure 15 for Figure 14 The distribution diagram of the second PPG signal's rise time being shorter than the third rise time; and

[0026] Figure 16 for Figure 15 The data points were converted into a distribution diagram showing the relationship between heart rate and the rising slope of the second PPG signal. Detailed Implementation

[0027] The embodiments of the present invention will be described below with reference to the accompanying drawings. In these drawings, the same reference numerals denote the same or similar elements or method flows.

[0028] It must be understood that the use of terms such as "comprising" or "including" in this specification is intended to indicate the presence of specific technical features, values, method steps, work processes, parts and / or components, but does not preclude the addition of more technical features, values, method steps, work processes, parts, components, or any combination thereof.

[0029] It is important to understand that when a component is described as "connected" or "coupled" to another component, it can be a direct connection or coupling to another component, and intermediate components may be involved. Conversely, when a component is described as "directly connected" or "directly coupled" to another component, there are no intermediate components.

[0030] Please see Figure 1 This is a block diagram of an embodiment of the pulse diagnosis system according to this application. Figure 1 As shown, in this embodiment, the pulse diagnosis system 100 includes a transceiver module 112, a control module 114, and a processing device 120. The control module 114 is connected to the transceiver module 112, and the processing device 120 is connected to the control module 114. The transceiver module 112 and the control module 114 can be installed in a wearable device 110 for a user to wear on their hand, such as a detection device or a smart bracelet. The wearable device 110 can be connected to the processing device 120 via wired or wireless means.

[0031] In one example, the processing device 120 may be, but is not limited to, a cloud server, and the wearable device 110 may be wirelessly connected to the processing device 120 via a network. In another example, the processing device 120 may be, but is not limited to, a computer device (e.g., a tablet, desktop computer, laptop, or smartphone), and the wearable device 110 may be wiredly connected to the processing device 120 via a wired transmission interface. In yet another example, the processing device 120 may be, but is not limited to, an electronic device having a processing unit (e.g., a central processing unit or general-purpose processor), and the wearable device 110 may be wirelessly connected to the processing device 120 via a wireless transmission interface (e.g., Bluetooth, WiFi, or near-field communication interface). In yet another example, the processing device 120 and the wearable device 110 are integrated into one unit, and the wearable device 110 is wiredly connected to the processing device 120 via a bus.

[0032] In this embodiment, the control module 114 can communicate via a serial communication bus (e.g., an integrated circuit bus (I2C)). 2C) The transceiver module 112 is connected, but this embodiment is not intended to limit the application; for example, the control module 114 can also be connected to the transceiver module 112 via a parallel communication bus. In one example, the control module 114 can be an STM32 series microcontroller, and the transceiver module 112 can be multiple optical transceivers of different wavelengths, such as MAX30101. Each optical transceiver transmits optical signals of different wavelengths (e.g., red light, infrared light, and green light) to the user's hand at the position corresponding to the radial artery, and receives the corresponding PPG signals of different wavelengths formed by the reflected light.

[0033] Figure 2 This is a flowchart of an embodiment of the pulse diagnosis method according to this application. For ease of explanation, Figure 2 The pulse diagnosis method will be combined with Figure 1 The pulse diagnosis system 100 will be explained. For example... Figure 2 As shown, the pulse diagnosis method includes the following steps: After receiving the control command from the processing device 120, the control module 114 outputs the execution command to the transceiver module 112 (step 210); the transceiver module 112 emits red light, infrared light and green light to the radial artery in turn based on the execution command, and receives the first PPG signal, the second PPG signal corresponding to the infrared light and the third PPG signal corresponding to the green light reflected from the red light, infrared light and green light respectively (step 220); the control module 114 outputs the corresponding detection information to the processing device 120 based on the first PPG signal, the second PPG signal and the third PPG signal received by the transceiver module 112 in each round (step 230); and after receiving multiple detection information from the control module 114, the processing device 120 determines the pulse type according to the classification procedure (step 240).

[0034] In step 210, the processing device 120 transmits control commands to the control module 114, causing the control module 114 to control the transceiver module 112 to execute step 220 based on the control commands. The processing device 120 generates the control commands based on user operations (e.g., the user inputs relevant parameters or commands through the input interface of the processing device 120, such as a keyboard, touch panel, touch screen, or touchpad). It should be noted that when the wearable device 110 is worn on the user's hand, the transceiver module 112 can be aligned with the position on the user's hand corresponding to the radial artery (e.g., the position on the wrist pressed by a traditional Chinese medicine practitioner when taking a pulse, i.e., the positions of "cun," "guan," and "chi," where "guan" is the radial prominence of the wrist, "cun" is before "guan," and "chi" is after "guan").

[0035] In step 220, the execution instructions may include the number of times, the duration, and the intensity of emitting red, infrared, and green light alternately toward the radial artery, as well as the sampling rates for generating the first, second, and third PPG signals. The wavelength range of the green light may be 400 nanometers (nm) to 600 nm, the wavelength range of the red light may be 600 nm to 800 nm, and the wavelength range of the infrared light may be 800 nm to 1000 nm. In addition, the number of times red, infrared, and green light are emitted towards the radial artery in each measurement can be, but is not limited to, 6000 times, and can be adjusted according to actual needs; the duration of emitting red, infrared, and green light towards the radial artery in turn can be the same (e.g., 10 nanoseconds), or can be adjusted to make the emission durations of red, infrared, and green light different according to actual needs; the light intensities of the emitted red, infrared, and green light can be the same, or can be adjusted to make the light intensities of red, infrared, and green light different according to actual needs (e.g., adjusting the light intensities of emitted red and infrared light so that the maximum amplitude of the first PPG signal and the second PPG signal received by the transceiver module 112 is the same); the sampling rate of the first PPG signal, the second PPG signal, and the third PPG signal can be, but is not limited to, 200 Hz.

[0036] In step 230, after the transceiver module 112 alternately emits red light, infrared light, and green light towards the radial artery, it receives the first PPG signal, second PPG signal, and third PPG signal formed by the reflected light, and transmits these signals back to the control module 114. The control module 114 integrates the first, second, and third PPG signals from each round to generate corresponding detection information, and outputs the detection information to the processing device 120. Each piece of detection information may include an information number and the first, second, and third PPG signals generated in each round.

[0037] In step 240, the processing device 120 can analyze multiple detection information from the control module 114 to determine the type of the user's pulse.

[0038] Therefore, through steps 210 to 240 described above, the pulse diagnosis system 100 can analyze the pulse using optical sensing signals (i.e., the first PPG signal, the second PPG signal, and the third PPG signal), thus solving the problem in pulse diagnosis systems equipped with pressure sensing elements where different pressures applied to the radial artery by the pressing structure result in different diagnostic results. Additionally, the processing device 120 may also include a display module 122 to display the user's pulse type determination result.

[0039] Figure 2 A flowchart of an embodiment of the classification procedure described in step 240 is shown below. Figure 3As shown. In this embodiment, the classification procedure in step 240 may include: determining the depth of the pulse based on the third PPG signal in each detection information (step 242); and determining the strength of the pulse based on the first PPG signal and the second PPG signal in each detection information and the depth of the pulse (step 244). Specifically, a deep pulse indicates a deep pulse; a shallow pulse indicates a floating pulse; a strong pulse indicates a full pulse; and a weak pulse indicates a deficient pulse. In other words, the pulse types determined in step 240 may include: deep and full pulses, deep and deficient pulses, floating and full pulses, and floating and deficient pulses.

[0040] Because human skin, subcutaneous tissue, and blood readily absorb green light but have very low absorption rates for red and infrared light, in step 242, the depth of blood vessels (or pulses) can be determined by the third PPG signal received by the transceiver module 112. The deeper the blood vessel (or pulse), the more it is affected by microvessels and fat, resulting in less green light reaching the vessel and greater noise interference in the third PPG signal. Figure 4 and Figure 5 As shown, where, Figure 4 The third PPG signal is used to identify a deep pulse. Figure 5 The third PPG signal is used to determine if it is a floating pulse.

[0041] Since hemoglobin (non-oxygenated) absorbs red light very well, while oxygenated hemoglobin absorbs infrared light very well, the radial artery of a normal person contains more oxygenated hemoglobin than hemoglobin (non-oxygenated). Furthermore, based on Western medical theory, a higher ratio between the amplitude of the second PPG signal and the amplitude of the first PPG signal indicates stronger heart strength (i.e., a strong pulse as described in Traditional Chinese Medicine). Therefore, when judging the strength of the pulse, it is necessary to consider the first PPG signal and the second PPG signal received by the transceiver module 112 in each round. Furthermore, the depth of the pulse also affects the waveforms of the first and second PPG signals (i.e., the amplitude, rise time (the time required for the first and second PPG signals to rise from a trough to a peak), and rise slope (the height difference between the peaks and troughs of the first and second PPG signals divided by the time required for the troughs to rise from a peak to a peak) of the first and second PPG signals). Therefore, when determining the strength of the pulse, the result determined in step 242 (i.e., whether the pulse is deep or shallow) must also be considered. As can be seen from the above, in step 244, when determining the strength of the pulse, it is necessary to simultaneously consider the first and second PPG signals from the same detection information, as well as the result determined in step 242.

[0042] Figure 3 Please refer to the flowchart of one embodiment of step 242. Figure 6In this embodiment, step 242 may include: dividing the third PPG signal into multiple frequency bands and averaging each band to obtain the average ratio of the base frequency corresponding to each frequency band (step 310); extracting an odd number of average ratios and comparing each average ratio with a preset threshold corresponding to its frequency band (step 320); determining the pulse depth when most of the average ratios are greater than the preset threshold corresponding to their frequency band (step 330); and determining the pulse shallow when most of the average ratios are less than the preset threshold corresponding to their frequency band (step 340).

[0043] In step 310, the processing device 120 can perform a Fourier transform on the third PPG signal to convert it from a time-domain signal to a frequency-domain signal; then, the frequency with the largest amplitude after the third PPG signal is converted into a frequency-domain signal is selected as the fundamental frequency for normalization; next, the normalized frequency-domain signal is divided into multiple frequency bands, and the average ratio of the fundamental frequency corresponding to each frequency band is obtained.

[0044] In step 320, an odd number of average ratios are selected and compared with preset thresholds corresponding to their frequency bands. This facilitates the use of majority voting in steps 330 and 340 to determine the depth of the pulse. In one example, the preset threshold for each frequency band can be obtained by using the third PPG signal obtained by multiple users whose pulse is known to be a deep or superficial pulse when detected by the wearable device 110 as a reference, and the average ratio obtained in step 310 is used as the preset threshold in the pulse diagnosis system 100.

[0045] In one embodiment, step 244 may include: determining the strength of the pulse based on the pulse depth, the amplitude ratio between the first PPG signal and the second PPG signal, the rise time of the second PPG signal, and the functional relationship between the heart rate and the rise slope of the second PPG signal. The heart rate is obtained based on the first PPG signal, the second PPG signal, and / or the third PPG signal. It should be noted that the method of obtaining the heart rate using the first PPG signal, the second PPG signal, and / or the third PPG signal is well known to those skilled in the art and will not be described in detail here.

[0046] Specifically, step 244 may include: when the pulse is determined to be shallow, comparing the amplitude ratio between the first PPG signal and the second PPG signal with a first preset value; when the amplitude ratio is less than the first preset value, the pulse is determined to be weak; when the amplitude ratio is greater than the first preset value, further determining the relationship between the rise time of the second PPG signal and the first rise time and the second rise time, wherein the first rise time is greater than the second rise time. When the rise time of the second PPG signal is greater than the first rise time, the pulse is determined to be weak; when the rise time of the second PPG signal is less than the second rise time, the pulse is determined to be strong. If the rise time of the second PPG signal is between the first rise time and the second rise time, the strength of the pulse is determined based on a first classification function between the heart rate and the rise slope of the second PPG signal.

[0047] Please see Figures 7 to 11 The steps are as follows: First PPG signal and second PPG signal and heart rate obtained from the detection information obtained by multiple users using wearable device 110 with known pulse characteristics are analyzed as a reference value to obtain the first preset value, the first rise time, the second rise time and the first classification function. Figure 7 This is a graph showing the relationship between the amplitude ratio of the first PPG signal and the second PPG signal and the heart rate in the detection information of multiple users whose pulse is known to be a floating pulse. Figure 8 for Figure 7 A distribution diagram showing the ratio of the amplitude of the first PPG signal to the second PPG signal being greater than a first preset value. Figure 9 for Figure 8 The data points were converted into a distribution graph showing the relationship between heart rate and the rise time of the second PPG signal. Figure 10 for Figure 9 The distribution diagram of the rise time of the second PPG signal, which is between the first and second rise times. Figure 11 for Figure 10 The data points were converted into a distribution graph showing the relationship between heart rate and the rising slope of the second PPG signal. Among them, Figures 7 to 11 In the diagram, the diamond-shaped points represent data points measured by the wearable device 110 for users with known pulse characteristics of floating and weak pulse. The triangle-shaped points represent data points measured by the wearable device 110 for users with known pulse characteristics of floating and strong pulse. In this embodiment, the first preset value can be 1.8, the first rise time can be 32 milliseconds, the second rise time can be 25 milliseconds, and the first classification function (such as...) Figure 11 (As shown by the dashed line in the image) can be represented as y = -13.2x + 103, where y is the heart rate and x is the rising slope of the second PPG signal. Additionally, in Figure 11In the above equation, when y > -13.2x + 103, the data point represents a real pulse; when y < -13.2x + 103, the data point represents a virtual pulse.

[0048] In addition, step 244 may also include: when determining the pulse depth, comparing the amplitude ratio between the first PPG signal and the second PPG signal with a second preset value; when the amplitude ratio is greater than the second preset value, determining the pulse strength; when the amplitude ratio is less than the second preset value, further comparing the rise time of the second PPG signal with a third rise time; when the rise time of the second PPG signal is greater than the third rise time, determining the pulse strength; and when the rise time of the second PPG signal is less than the third rise time, further determining the pulse strength based on a second classification function between the heart rate and the rise slope of the second PPG signal.

[0049] Please see Figures 12 to 16 The steps are as follows: First PPG signal and second PPG signal and heart rate obtained from the detection information obtained by multiple users using wearable device 110 with known pulse characteristics are analyzed and used as a reference value to obtain the second preset value, the third rise time and the second classification function. Figure 12 This is a graph showing the relationship between the amplitude ratio of the first PPG signal and the second PPG signal and the heart rate in the detection information of multiple users whose pulse is known to be a deep pulse. Figure 13 for Figure 12 A distribution diagram showing the ratio of the amplitude of the first PPG signal to the second PPG signal being less than a second preset value. Figure 14 for Figure 13 The data points were converted into a distribution graph showing the relationship between heart rate and the rise time of the second PPG signal. Figure 15 for Figure 14 The distribution diagram of the second PPG signal having a shorter rise time than the third rise time. Figure 16 for Figure 15 The data points were converted into a distribution graph showing the relationship between heart rate and the rising slope of the second PPG signal. Among them, Figures 12 to 16 The diamond-shaped dots represent data points measured by the wearable device 110 for users whose pulse characteristics are known to be deep or weak, while the square dots represent data points measured by the wearable device 110 for users whose pulse characteristics are known to be deep or strong. From Figures 12 to 16 As can be seen from this, the second preset value can be 1.85, the third rise time can be 28.5 milliseconds, and the second classification function (such as...) Figure 16 (As shown by the dashed line in the diagram) can be represented as y = 60x - 125, where y is the heart rate and x is the rising slope of the second PPG signal. Additionally, in Figure 11 In the above, when y > 60x - 125, the data point represents a virtual pulse; when y < 60x - 125, the data point represents a real pulse.

[0050] After obtaining the first preset value, the second preset value, the first rise time, the second rise time, the third rise time, the first classification function, and the second classification function through the above steps, and setting these values ​​or functions in the processing device 120, the setting of the pulse diagnosis system 100 of this application is completed.

[0051] In summary, the pulse diagnosis system and method of this application can analyze pulse characteristics through optical sensing signals (i.e., the first PPG signal, the second PPG signal, and the third PPG signal), which solves the problem that pulse diagnosis systems equipped with pressure sensing elements are affected by the varying pressure applied to the radial artery by the pressing structure, thus affecting the diagnostic results. Furthermore, the pulse diagnosis system receives the first, second, and third PPG signals through a transceiver module, eliminating the need for pressure sensing elements and pressing structures, thus offering advantages such as simple structure and ease of use. Moreover, the depth of the pulse can be determined by analyzing the third PPG signal, and the strength of the pulse can be determined by combining the pulse depth assessment with the analysis of the first and second PPG signals.

[0052] While the elements described above are included in the accompanying drawings of this application, it is not excluded that more additional elements may be used to achieve better technical effects without departing from the spirit of the invention. Although the present invention has been described using the above embodiments, it is not intended to be limited thereto. Any person skilled in the art to which this invention pertains may make various modifications and refinements without departing from the spirit and scope of the invention.

Claims

1. A pulse diagnosis system, characterized in that, include: The transceiver module is used to transmit red light, infrared light and green light to the radial artery in turn based on the execution command, and to receive the first PPG signal, the second PPG signal and the third PPG signal corresponding to the reflected light of the red light, the infrared light and the green light respectively; A control module, connected to the transceiver module, is used to receive control commands and output execution commands to the transceiver module, and to output corresponding detection information based on the first PPG signal, the second PPG signal and the third PPG signal received by the transceiver module in each round. as well as The processing device is connected to the control module to transmit the control command to the control module, receive multiple detection information from the control module, and determine the pulse type according to the classification program. The processing device is further configured to determine the depth of the pulse based on the third PPG signal in each of the detection information, and to determine the strength of the pulse based on the first PPG signal and the second PPG signal in each of the detection information and the depth of the pulse.

2. The pulse diagnosis system according to claim 1, characterized in that, The execution instructions include the number of times, the time and the intensity of emitting red light, infrared light and green light alternately toward the radial artery, as well as the sampling rate for generating the first PPG signal, the second PPG signal and the third PPG signal.

3. The pulse diagnosis system according to claim 1, characterized in that, The processing device is further configured to divide the third PPG signal into multiple frequency bands and take the average of each band to obtain the average ratio of the base frequency corresponding to each frequency band; extract an odd number of the average ratios and compare each average ratio with the preset threshold corresponding to its frequency band; when most of the average ratios are greater than the preset threshold corresponding to its frequency band, determine the pulse depth. And when most of the average ratios are less than the preset threshold corresponding to their frequency bands, the pulse is determined to be shallow.

4. The pulse diagnosis system according to claim 1, characterized in that, The processing device is further configured to determine the strength of the pulse based on the depth of the pulse, the amplitude ratio between the first PPG signal and the second PPG signal, the rise time of the second PPG signal, and the functional relationship between the heart rate and the rise slope of the second PPG signal, wherein the heart rate is obtained based on the first PPG signal, the second PPG signal, and / or the third PPG signal.

5. A pulse diagnosis method, characterized in that, Includes the following steps: After receiving control commands from the processing device, the control module outputs execution commands to the transceiver module. The transceiver module transmits red light, infrared light, and green light to the radial artery in turn based on the execution command, and receives the first PPG signal, the second PPG signal, and the third PPG signal corresponding to the reflected light of the red light, the infrared light, and the green light, respectively. The control module outputs corresponding detection information to the processing device based on the first PPG signal, the second PPG signal and the third PPG signal received by the transceiver module in each round. as well as The processing device receives multiple detection messages from the control module and determines the pulse type according to the classification procedure; The classification procedure includes: determining the depth of the pulse based on the third PPG signal in each of the detection information; and determining the strength of the pulse based on the first PPG signal and the second PPG signal in each of the detection information and the depth of the pulse.

6. The pulse diagnosis method according to claim 5, characterized in that, The step of determining the depth of the pulse based on the third PPG signal in each of the detection information includes: The third PPG signal is divided into multiple frequency bands and the average of each band is taken to obtain the average ratio of the base frequency corresponding to each frequency band. Extract an odd number of the average ratios and compare each average ratio with a preset threshold corresponding to its frequency band; When the majority of the average ratios are greater than the preset threshold corresponding to their frequency bands, the pulse depth is determined; and When most of the average ratios are less than the preset threshold corresponding to their frequency bands, the pulse is determined to be shallow.

7. The pulse diagnosis method according to claim 5, characterized in that, The step of determining the strength of the pulse based on the first PPG signal and the second PPG signal in each of the detection information and the depth of the pulse includes: The strength of the pulse is determined based on the pulse depth, the amplitude ratio between the first PPG signal and the second PPG signal, the rise time of the second PPG signal, and the functional relationship between the heart rate and the rise slope of the second PPG signal. The heart rate is obtained based on the first PPG signal, the second PPG signal, and / or the third PPG signal.

8. The pulse diagnosis method according to claim 7, characterized in that, The steps for determining the strength of the pulse based on the pulse depth, the amplitude ratio between the first PPG signal and the second PPG signal, the rise time of the second PPG signal, and the functional relationship between the heart rate and the rise slope of the second PPG signal include: When the pulse is determined to be shallow, the amplitude ratio between the first PPG signal and the second PPG signal is compared with a first preset value. When the amplitude ratio is less than the first preset value, the pulse is determined to be weak; When the amplitude ratio is greater than the first preset value, the relationship between the rise time of the second PPG signal and the first rise time and the second rise time is determined, wherein the first rise time is greater than the second rise time. When the rise time of the second PPG signal is greater than the rise time of the first PPG signal, the pulse is determined to be weak. When the rise time of the second PPG signal is less than the second rise time, the pulse strength is determined; and When the rise time of the second PPG signal is between the first rise time and the second rise time, the strength of the pulse is determined based on a first classification function between the heart rate and the rise slope of the second PPG signal.

9. The pulse diagnosis method according to claim 7, characterized in that, The steps for determining the strength of the pulse based on the pulse depth, the amplitude ratio between the first PPG signal and the second PPG signal, the rise time of the second PPG signal, and the functional relationship between the heart rate and the rise slope of the second PPG signal include: When determining the pulse depth, the amplitude ratio between the first PPG signal and the second PPG signal is compared with a second preset value. When the amplitude ratio is greater than the second preset value, the pulse strength is determined. When the amplitude ratio is less than the second preset value, the rise time of the second PPG signal is compared with the third rise time. When the rise time of the second PPG signal is greater than the third rise time, the pulse strength is determined; and When the rise time of the second PPG signal is less than the third rise time, the strength of the pulse is determined based on a second classification function between the heart rate and the rise slope of the second PPG signal.

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