Non-invasive multi-parameter blood component real-time monitoring device and use method

Abstract

The invention relates to the technical field of non-invasive blood monitoring, in particular to a non-invasive multi-parameter blood component real-time monitoring device, which comprises a monitoring device assembly, which is composed of a monitoring shell, a hand placing groove and a camera, and is characterized in that the monitoring shell is internally provided with a skin color feature extraction module, a self-adaptive adjustment module and an illumination compensation module; the acquisition module acquires a skin picture of a detected person; a display output unit and a manual input unit are arranged in the display, and the display is used for manually inputting data information and outputting data; the acquisition assembly is composed of an acquisition bin and a finger tip insertion hole, and a data acquisition module is arranged in the acquisition bin and is responsible for acquiring original physiological signals from a sensor and converting the original physiological signals into analyzable digital data; and the algorithm implementation module is provided with a red blood cell data calculation unit, a white blood cell data calculation unit and an oxyhemoglobin saturation calculation unit, and is used for implementing various preselected algorithms and analyzing and calculating the PPG signals processed by the signal processing module so as to extract required physiological parameters.

Description

Technical Field

[0001] The present invention relates to the technical field of non-invasive blood monitoring, and in particular to a non-invasive multi-parameter real-time monitoring device for blood components and a method for using the same. Background Art

[0002] Blood composition testing is a key component in clinical diagnosis, disease management, health monitoring, and exercise physiology. Accurate, real-time access to multiple blood parameter information is crucial for early disease detection, treatment optimization, treatment efficacy assessment, and personalized health management. Currently, routine clinical blood composition testing relies primarily on invasive blood sampling. This method requires puncturing the skin to collect venous or fingertip blood samples, which are then sent to the laboratory for biochemical analysis and are not suitable for long-term monitoring.

[0003] For those who need to check their blood routine daily, invasive blood routine testing can be uncomfortable and painful, making it unsuitable for long-term monitoring. To overcome the drawbacks of invasive testing, non-invasive blood testing technologies have become a research hotspot, such as near-infrared spectroscopy, mid-infrared spectroscopy, Raman spectroscopy, photoacoustic spectroscopy, and optical coherence tomography. These technologies utilize the absorption, scattering, or fluorescence properties of specific wavelengths of light by different blood components to detect them.

[0004] However, current non-invasive blood testing technology is easily affected by skin color. If the test data cannot be adaptively adjusted according to the skin color of the person being tested, it will easily affect the accuracy of the test. Summary of the Invention

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a non-invasive multi-parameter real-time monitoring device for blood components to solve the problem that existing non-invasive blood detection technology is easily affected by skin color. If the detection data cannot be adaptively adjusted according to the skin color of the person being tested, the detection accuracy will be easily affected.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, the present invention provides a non-invasive multi-parameter real-time monitoring device for blood components, comprising:

[0009] The monitoring device assembly consists of a monitoring housing, a hand placement slot, and a camera. The monitoring housing has a built-in skin color feature extraction module, an adaptive adjustment module, and an illumination compensation module for obtaining a skin image of the person being tested.

[0010] Display, with built-in display output unit and manual input unit, used for manual input of data information and data output;

[0011] The collection component consists of a collection chamber and a fingertip insertion hole. The collection chamber has a built-in data acquisition module that is responsible for acquiring raw physiological signals from sensors and converting them into analyzable digital data;

[0012] The signal processing module has a denoising unit, a filtering unit, and an amplification unit, which is used to pre-process the original signal, improve the signal quality, and provide reliable input for subsequent algorithm analysis;

[0013] The algorithm implementation module has a red blood cell data calculation unit, a white blood cell data calculation unit and a blood oxygen saturation calculation unit, which are used to implement various pre-selected algorithms, analyze and calculate the PPG signal processed by the signal processing module, and thus extract the required physiological parameters.

[0014] By adopting the above technical solution, the camera in the monitoring shell is used to take a picture of the skin of the detected person. The skin color feature extraction module, the adaptive adjustment module and the illumination compensation module select a suitable algorithm according to the skin color of the detected person, and analyze and calculate the PPG signal processed by the signal processing module according to the pre-selected algorithm, so as to extract the required physiological parameters and avoid the error caused by skin color in non-invasive blood monitoring. The algorithm implementation module can detect blood component data based on the data collected by the acquisition component.

[0015] As a preferred solution of the non-invasive multi-parameter real-time monitoring device for blood components of the present invention, wherein: the adaptive adjustment module includes a model calling unit and a dynamic adjustment unit, which is used to classify the results according to skin color;

[0016] The dynamic adjustment unit is used to dynamically adjust the algorithm parameters. The parameter optimization includes adjusting the LED light source intensity and wavelength and dynamically adjusting the skin color segmentation threshold and filter parameters.

[0017] The model calling unit is used to load pre-trained dedicated models for different skin color types.

[0018] As a preferred embodiment of the non-invasive multi-parameter real-time blood component monitoring device of the present invention, the illumination compensation module includes an illumination intensity compensation unit, an illumination sensor, and a parameter optimization module, which are used to eliminate the influence of illumination changes on skin color characteristics and ensure algorithm robustness;

[0019] The light intensity compensation unit is used to calculate the local light intensity and compensate;

[0020] The light sensor is used to collect current light conditions;

[0021] The parameter optimization module is used to select the corresponding algorithm parameters according to the current lighting conditions.

[0022] As a preferred solution of the non-invasive multi-parameter real-time monitoring device for blood components described in the present invention, the skin color feature extraction module is used to obtain skin color data, and the camera is located above the center of the hand placement slot.

[0023] As a preferred solution of the non-invasive multi-parameter real-time monitoring device for blood components of the present invention, wherein: the data acquisition module includes a PPG sensor, a camera and a microcirculation detector;

[0024] The PPG sensor is used to capture the optical signal fluctuations caused by changes in blood volume, and to monitor physiological parameters such as heart rate, blood oxygen saturation, and blood pressure trends;

[0025] The microcirculation detector is used to observe the blood flow velocity of the nailfold capillaries.

[0026] As a preferred solution of the non-invasive multi-parameter real-time monitoring device for blood components described in the present invention, the microcirculation detector supports WIFI, USB, HDMI and other connection methods, which is convenient for connection to a display for data transmission and image analysis.

[0027] As a preferred solution of the non-invasive multi-parameter real-time monitoring device for blood components described in the present invention, the PPG sensor includes multiple electronic semiconductor light sources, three of which are used to emit different specific wavelengths, and the specific wavelengths are set to 540nm, 580nm and 760nm.

[0028] As a preferred embodiment of the non-invasive multi-parameter real-time blood component monitoring device of the present invention, the PPG sensor calculates the ratio of oxyhemoglobin to total hemoglobin by using the absorption difference between red light (660 nm) and near-infrared light (940 nm):

[0029]

[0030] AC: alternating current component, DC: direct current component, A / B / C are calibration coefficients;

[0031] The PPG sensor can estimate hemoglobin concentration and blood oxygen saturation by analyzing the absorption difference between oxygenated and deoxygenated hemoglobin at specific wavelengths, and indirectly reflect the hematocrit by combining the scattering information.

[0032] In a second aspect, the present invention provides a method for using a non-invasive multi-parameter real-time blood component monitoring device, which is applied to the above-mentioned non-invasive multi-parameter real-time blood component monitoring device, comprising the following steps:

[0033] Step 1: The camera captures the skin on the inside of the arm placed in the hand placement slot and transmits the image data to the skin color feature extraction module;

[0034] Step 2: Adaptively adjust the collected skin image through the adaptive adjustment module and the illumination compensation module to achieve algorithm parameter optimization;

[0035] Step 3: The PPG sensor and microcirculation detector collect detection data;

[0036] Step 4: The algorithm implementation module selects a suitable algorithm model and calculates the required physiological parameters;

[0037] Step 5: Generate the monitored physiological parameters in real time and display them on the monitor.

[0038] As a preferred embodiment of the method for using the non-invasive multi-parameter real-time blood component monitoring device of the present invention, in step 3:

[0039] The PPG sensor realizes multiple data collections. The PPG sensor controls the emission of multiple specific wavelengths, and the specific wavelengths are set to be around 540nm, 580nm and 760nm.

[0040] Beneficial effects of the present invention:

[0041] (1) The non-invasive multi-parameter real-time blood component monitoring device described in the present invention uses a camera in the monitoring housing to take a picture of the skin of the person being monitored. The skin color feature extraction module, the adaptive adjustment module, and the illumination compensation module select a suitable algorithm according to the skin color of the person being monitored, and analyze and calculate the PPG signal processed by the signal processing module according to the pre-selected algorithm, thereby extracting the required physiological parameters and avoiding errors caused by skin color in non-invasive blood monitoring. The algorithm implementation module can detect blood component data based on the data collected by the acquisition component;

[0042] (2) The PPG sensor and microcirculation detector provided in the non-invasive multi-parameter real-time monitoring device for blood components described in the present invention adjust parameters according to skin color, and use the adjusted wavelength to realize data acquisition. The data is pre-processed by the signal processing module and transmitted to the subsequent algorithm implementation module to realize reliable algorithm analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0044] Figure 1 This is a schematic diagram of a non-invasive multi-parameter real-time monitoring device for blood components in Example 1;

[0045] Figure 2 This is a bottom-up schematic diagram of a non-invasive multi-parameter real-time monitoring device for blood components in Example 1;

[0046] Figure 3 This is a schematic diagram of the process of a non-invasive multi-parameter real-time monitoring device for blood components in Example 1;

[0047] Figure 4 This is a flow chart of a data acquisition module of a non-invasive multi-parameter real-time monitoring device for blood components in Example 1;

[0048] Figure 5 This is a flow chart of a signal processing module of a non-invasive multi-parameter real-time monitoring device for blood components in Example 1;

[0049] Figure 6 This is a schematic diagram of the flow of the illumination compensation module of a non-invasive multi-parameter real-time monitoring device for blood components in Example 1;

[0050] Figure 7 This is a schematic diagram of the algorithm implementation module flow of a non-invasive multi-parameter real-time blood component monitoring device in Example 1;

[0051] Figure 8 This is a schematic diagram of the process flow of the adaptive adjustment module of a non-invasive multi-parameter real-time monitoring device for blood components in Example 1.

[0052] 1. Monitoring device assembly; 101. Monitoring housing; 102. Hand placement slot; 2. Display; 3. Collection assembly; 301. Collection chamber; 302. Finger tip insertion hole. DETAILED DESCRIPTION

[0053] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0054] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0055] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it designate a separate or selective embodiment that is mutually exclusive with other embodiments.

[0056] Example 1, reference Figures 1-8, which is the first embodiment of the present invention, provides a non-invasive multi-parameter real-time blood component monitoring device, comprising:

[0057] The monitoring device assembly 1 is composed of a monitoring housing 101, a hand placement slot 102, and a camera. The monitoring housing 101 has a built-in skin color feature extraction module, an adaptive adjustment module, and an illumination compensation module for acquiring a skin image of the person being monitored.

[0058] Display 2, with a built-in display output unit and a manual input unit, for manual input of data information and data output;

[0059] The collection component 3 consists of a collection chamber 301 and a fingertip insertion hole 302. The collection chamber 301 has a built-in data collection module responsible for acquiring raw physiological signals from sensors and converting them into analyzable digital data;

[0060] The signal processing module has a denoising unit, a filtering unit, and an amplification unit, which is used to pre-process the original signal, improve the signal quality, and provide reliable input for subsequent algorithm analysis;

[0061] The algorithm implementation module has a red blood cell data calculation unit, a white blood cell data calculation unit and a blood oxygen saturation calculation unit, which are used to implement various pre-selected algorithms, analyze and calculate the PPG signal processed by the signal processing module, and thus extract the required physiological parameters.

[0062] It should be noted that the skin picture of the detected person is taken by the camera in the monitoring shell 101, and the skin color feature extraction module, the adaptive adjustment module and the illumination compensation module select a suitable algorithm according to the skin color of the detected person, and analyze and calculate the PPG signal processed by the signal processing module according to the pre-selected algorithm, so as to extract the required physiological parameters and avoid the error caused by skin color to non-invasive blood monitoring. The algorithm implementation module can detect blood component data based on the data collected by the acquisition component 3.

[0063] Furthermore, the adaptive adjustment module includes a model calling unit and a dynamic adjustment unit for classifying the results according to skin color;

[0064] The dynamic adjustment unit is used to dynamically adjust the algorithm parameters. The parameter optimization includes adjusting the LED light source intensity and wavelength and dynamically adjusting the skin color segmentation threshold and filter parameters.

[0065] The model calling unit is used to load pre-trained dedicated models for different skin color types.

[0066] It should be noted that the adaptive adjustment module dynamically adjusts the algorithm parameters or strategies based on the skin color classification results. When processing PPG signals, the near-infrared light intensity can be increased for dark skin colors, and in blood oxygen monitoring, dark skin colors require higher red light intensity to compensate for melanin absorption.

[0067] Furthermore, the illumination compensation module includes an illumination intensity compensation unit, an illumination sensor, and a parameter optimization module to eliminate the impact of illumination changes on skin color characteristics and ensure the robustness of the algorithm;

[0068] The light intensity compensation unit is used to calculate the local light intensity and compensate;

[0069] The light sensor is used to collect current light conditions;

[0070] The parameter optimization module is used to select the corresponding algorithm parameters according to the current lighting conditions.

[0071] It should be noted that the light intensity compensation unit uses the existing Retinex algorithm or histogram equalization to adjust the image brightness, and when the current light is strong, the image contrast can be increased to highlight the skin color features. After the skin is photographed and compensated, the image is displayed on the display 2, and the image data that is closer to the actual skin color is selected through the manual input unit.

[0072] Furthermore, the skin color feature extraction module is used to obtain skin color data, and the camera is located above the center of the hand placement slot 102.

[0073] It should be noted that the hand placement slot 102 is configured to be relatively wide to accommodate persons of different body shapes.

[0074] Furthermore, the data acquisition module includes a PPG sensor, a camera, and a microcirculation detector;

[0075] The PPG sensor is used to capture the optical signal fluctuations caused by changes in blood volume, and to monitor physiological parameters such as heart rate, blood oxygen saturation, and blood pressure trends;

[0076] The microcirculation detector is used to observe the blood flow velocity of the nailfold capillaries.

[0077] It should be noted that there are multiple microcirculation detectors, and the detection probes are directed towards parts of the body with less subcutaneous fat, such as the back of the hand, earlobe, etc.

[0078] Furthermore, the microcirculation detector supports connection methods such as WIFI, USB, and HDMI, which is convenient for connection with the display 2 for data transmission and image analysis.

[0079] It should be noted that the data detected by the microcirculation detector is transmitted to the display 2 .

[0080] Furthermore, the PPG sensor includes a plurality of electronic semiconductor light sources, wherein three electronic semiconductor light sources are used to emit different specific wavelengths, and the specific wavelengths are set to 540nm, 580nm and 760nm.

[0081] It should be noted that there are at least five groups of electronic semiconductor light sources, three of which are specific wavelengths of around 540nm, 580nm and 760nm, and the parameters can be adjusted according to the skin color data. The other two groups are red light 660nm and near-infrared light 940nm, which are used to calculate hemoglobin concentration and blood oxygen saturation.

[0082] Furthermore, the PPG sensor uses the difference in absorption between red light at 660nm and near-infrared light at 940nm to calculate the ratio of oxygenated hemoglobin to total hemoglobin:

[0083]

[0084] AC: alternating current component, DC: direct current component, A / B / C are calibration coefficients;

[0085] The PPG sensor can estimate the hemoglobin concentration and blood oxygen saturation by analyzing the absorption difference of oxygenated / deoxygenated hemoglobin at a specific wavelength, and indirectly reflect the hematocrit by combining the scattering information.

[0086] It should be noted that

[0087] This embodiment also provides a detection method, which is applied to the above-mentioned non-invasive multi-parameter real-time blood component monitoring device, and includes the following steps:

[0088] Step 1: The camera captures the skin on the inner side of the arm placed in the hand placement slot 102 and transmits the image data to the skin color feature extraction module;

[0089] Step 2: Adaptively adjust the collected skin image through the adaptive adjustment module and the illumination compensation module to achieve algorithm parameter optimization;

[0090] Step 3: The PPG sensor and microcirculation detector collect detection data;

[0091] Step 4: The algorithm implementation module selects a suitable algorithm model and calculates the required physiological parameters;

[0092] Step 5: Generate the monitored physiological parameters in real time and display them on the display 2.

[0093] It should be noted that the blood composition data of the detected person is calculated through multi-wavelength detection of the PPG sensor, the algorithm parameters are adjusted according to the skin color, and a suitable algorithm model is selected to monitor the blood composition data more accurately.

[0094] Furthermore, in step 3:

[0095] The PPG sensor realizes multiple data collections. The PPG sensor controls the emission of multiple specific wavelengths, and the specific wavelengths are set to be around 540nm, 580nm and 760nm.

[0096] It should be noted that the parameters of the specific wavelength can be appropriately adjusted according to the skin color data.

[0097] When the present invention is in use, the camera shoots the skin on the inner side of the arm placed in the hand placement slot 102, obtains the skin image of the detected person, and transmits the image data to the skin color feature extraction module. After processing the image data, the skin color feature extraction module classifies it according to the skin color. At the same time, it is necessary to eliminate the influence of the current lighting conditions on the skin color characteristics through the illumination compensation module. The algorithm parameters are dynamically adjusted through the dynamic adjustment unit, and the pre-trained special model is loaded at the same time. After the algorithm parameters are optimized, the PPG sensor and the microcirculation detector adjust the parameters according to the skin color, and use the adjusted wavelength to realize data collection. The data is pre-processed by the signal processing module and transmitted to the subsequent algorithm implementation module to realize reliable algorithm analysis. The blood oxygen saturation calculation unit calculates the ratio of oxygenated hemoglobin to total hemoglobin through the absorption difference between red light 660nm and near-infrared light 940nm:

[0098]

[0099] AC: alternating current component, DC: direct current component, A / B / C are calibration coefficients;

[0100] Red blood cell data calculation unit: By analyzing the absorption differences of oxygenated / deoxygenated hemoglobin near specific wavelengths such as 540nm, 580nm, and 760nm, it can estimate the hemoglobin concentration, which is strongly correlated with the red blood cell count and blood oxygen saturation. Combined with scattering information, it indirectly reflects the hematocrit (Hct). At the same time, the estimated hemoglobin concentration and red blood cell count are integrated and output together with other data to the display 2 for display. In addition, the platelet count is estimated through the measured parameters (such as hemoglobin concentration, hematocrit, blood flow velocity, certain coagulation function indicators such as skin bleeding time assessment, and even combined with ECG / PPG waveform characteristics) through the existing established physiological model to obtain platelet data;

[0101] White blood cell data calculation unit: obtains the number of white blood cells in the capillaries through the microcirculation detector; the detected data is output to the display 2 for display.

[0102] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above-described embodiments. The above-described embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A non-invasive multi-parameter real-time monitoring device for blood components, characterized in that: include: The monitoring device assembly (1) is composed of a monitoring housing (101), a hand placement slot (102), and a camera. The monitoring housing (101) has a built-in skin color feature extraction module, an adaptive adjustment module, and an illumination compensation module for obtaining a skin image of a detected person. A display (2) having a built-in display output unit and a manual input unit for manually inputting data information and outputting data; The collection component (3) is composed of a collection chamber (301) and a fingertip insertion hole (302). The collection chamber (301) has a built-in data collection module responsible for acquiring raw physiological signals from sensors and converting them into analyzable digital data. The signal processing module has a denoising unit, a filtering unit, and an amplification unit, which is used to pre-process the original signal, improve the signal quality, and provide reliable input for subsequent algorithm analysis; The algorithm implementation module has a red blood cell data calculation unit, a white blood cell data calculation unit and a blood oxygen saturation calculation unit, which are used to implement various pre-selected algorithms, analyze and calculate the PPG signal processed by the signal processing module, and thus extract the required physiological parameters.

2. The non-invasive multi-parameter real-time blood component monitoring device according to claim 1, characterized in that: The adaptive adjustment module includes a model calling unit and a dynamic adjustment unit, which is used to classify the results according to skin color; The dynamic adjustment unit is used to dynamically adjust the algorithm parameters. The parameter optimization includes adjusting the LED light source intensity and wavelength and dynamically adjusting the skin color segmentation threshold and filter parameters. The model calling unit is used to load pre-trained dedicated models for different skin color types.

3. The non-invasive multi-parameter real-time blood component monitoring device according to claim 1, characterized in that: The illumination compensation module includes an illumination intensity compensation unit, an illumination sensor, and a parameter optimization module, which are used to eliminate the influence of illumination changes on skin color characteristics and ensure the robustness of the algorithm; The light intensity compensation unit is used to calculate the local light intensity and compensate; The light sensor is used to collect current light conditions; The parameter optimization module is used to select the corresponding algorithm parameters according to the current lighting conditions.

4. The non-invasive multi-parameter real-time blood component monitoring device according to claim 1, characterized in that: The skin color feature extraction module is used to obtain skin color data, and the camera is located above the center of the hand placement slot (102).

5. The non-invasive multi-parameter real-time blood component monitoring device according to claim 1, characterized in that: The data acquisition module includes a PPG sensor, a camera and a microcirculation detector; The PPG sensor is used to capture light signal fluctuations caused by changes in blood volume, enabling monitoring of physiological parameters such as heart rate, blood oxygen saturation, and blood pressure trends; The microcirculation detector is used to observe the blood flow velocity of the nailfold capillaries.

6. The non-invasive multi-parameter real-time blood component monitoring device according to claim 5, characterized in that: The microcirculation detector supports connection modes such as WIFI, USB, and HDMI, and is convenient for connection with a display (2) for data transmission and image analysis.

7. The non-invasive multi-parameter real-time monitoring device for blood components according to claim 5, characterized in that: The PPG sensor includes a plurality of electronic semiconductor light sources, wherein three electronic semiconductor light sources are used to emit different specific wavelengths, and the specific wavelengths are set to 540 nm, 580 nm and 760 nm.

8. The non-invasive multi-parameter real-time monitoring device for blood components according to claim 7, characterized in that: The PPG sensor uses the difference in absorption between red light (660nm) and near-infrared light (940nm) to calculate the ratio of oxygenated hemoglobin to total hemoglobin: AC: alternating current component, DC: direct current component, A / B / C are calibration coefficients; The PPG sensor can estimate hemoglobin concentration and blood oxygen saturation by analyzing the absorption difference between oxygenated and deoxygenated hemoglobin at specific wavelengths, and indirectly reflect the hematocrit by combining the scattering information.

9. A method for using a non-invasive multi-parameter real-time blood component monitoring device, applied to the non-invasive multi-parameter real-time blood component monitoring device according to claim 1, characterized in that: The following steps are involved: Step 1: The camera captures the skin on the inner side of the arm placed in the hand placement slot (102), and transmits the image data to the skin color feature extraction module; Step 2: Adaptively adjust the collected skin image through the adaptive adjustment module and the illumination compensation module to achieve algorithm parameter optimization; Step 3: The PPG sensor and microcirculation detector collect detection data; Step 4: The algorithm implementation module selects a suitable algorithm model and calculates the required physiological parameters; Step 5: Generate the monitored physiological parameters in real time and display them on the display (2).

10. The method for using the non-invasive multi-parameter real-time blood component monitoring device according to claim 9, characterized in that: In step 3: The PPG sensor realizes multiple data collections. The PPG sensor controls the emission of multiple specific wavelengths, and the specific wavelengths are set to be around 540nm, 580nm and 760nm.

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