Medicinal and edible product efficacy analysis model system and method based on PPG signal characteristics

Abstract

The invention relates to a PPG signal feature-based medicinal and edible product efficacy analysis model system and method. The method comprises the following steps: acquiring a pulse waveform in a PPG signal of a user; the pulse waveforms comprise a first pulse waveform in a first PPG signal before the user eats the product and a second pulse waveform in a second PPG signal after the user eats the product, and analyzing the pulse waveforms to obtain harmonic data corresponding to the pulse waveforms; the harmonic data comprises first harmonic data corresponding to the first pulse waveform and second harmonic data corresponding to the second pulse waveform, and comparing the second harmonic data with the first harmonic data to obtain action data of the product. According to the application, the meridian change monitoring before and after the medicine and food homologous product is taken is realized, and scientific and accurate medicine effect quantification and traditional Chinese medicine explanation are also provided. The user experience is improved, and powerful support is provided for modernization of traditional Chinese medicine.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a model system and method for analyzing the efficacy of medicinal and edible products based on PPG signal characteristics. Background Art

[0002] PPG Sensor Technology in Wearable Devices: Photoplethysmography (PPG) is a non-invasive optical measurement method that reflects blood flow and volume changes by monitoring changes in light absorption in the blood. This technology is widely used to monitor physiological indicators such as heart rate and blood oxygen saturation. PPG sensors usually consist of a light source and a photodetector. The light emitted by the light source is irradiated onto the skin and is reflected, scattered and absorbed by tissues and blood. The detector receives the light reflected back from the tissue and obtains a PPG signal.

[0003] Modern wearable devices, such as smart watches and fitness trackers, generally integrate PPG sensors. They use green light (about 530 nm) to obtain blood oxygen and pulse waveform data, because green light is more significantly absorbed by blood and can provide better signal quality. Wearable devices have become an important tool for daily health monitoring due to their portability, comfort and real-time monitoring capabilities.

[0004] Fast Fourier Transform (FFT) Technology: Fast Fourier Transform (FFT) is an efficient algorithm for calculating discrete Fourier transform (DFT) and its inverse transform. Fourier transform is a basic tool in signal processing, which reveals the frequency components and amplitude information of the signal by converting the time domain signal to the frequency domain.

[0005] In physiological signal analysis, FFT technology is widely used to process and analyze periodic signals such as PPG signals. Through FFT, direct current components (DC) and harmonic components of different frequencies can be extracted from complex time domain signals. Specifically, the DC component in the PPG signal reflects the average light absorption level of the blood, while the harmonic components correspond to the periodic changes in blood flow, such as pulse fluctuations caused by heartbeats.

[0006] The application of FFT is not limited to spectrum analysis, it is also used for feature extraction, signal filtering and compression, etc. Especially in wearable devices, FFT can analyze the collected PPG signals in real time to help extract meaningful physiological information, such as heart rate variability and respiratory rate. In addition, the FFT algorithm is suitable for implementation in resource-limited embedded systems due to its high computational efficiency.

[0007] Existing PPG signal analysis methods mainly focus on monitoring basic vital signs, such as heart rate and blood oxygen saturation. These methods usually obtain data through simple waveform analysis or basic frequency domain analysis. However, there is little research on the complex information contained in PPG signals, especially the harmonic components. These harmonic components may carry rich physiological and pathological information, including hemodynamic characteristics and microcirculatory status.

[0008] Current technologies fail to fully utilize this harmonic information, mainly because most existing technologies remain at the analysis level based on DC components or fundamental frequencies (such as heart rate), and have limited analysis and interpretation capabilities for higher-order harmonics, limiting the understanding and application of complex physiological processes in PPG signals. Although TCM diagnosis emphasizes integrity and complexity, such as the deficiency and excess symptoms of the five internal organs, existing PPG analysis methods do not attempt to associate harmonic analysis with these TCM diagnostic indicators, and lack a suitable mathematical model to interpret and utilize harmonic data, limiting the application prospects of this technology in TCM diagnosis. Different studies and applications use different methods for collecting, processing, and analyzing PPG signals, resulting in poor comparability and repeatability of the results, which to some extent hinders the promotion and application of new methods and models. Summary of the invention

[0009] In view of this, the present application proposes a method for analyzing the efficacy of medicinal and edible products based on PPG signal characteristics to solve the problems reflected by the above-mentioned background technology.

[0010] The present application provides a method for analyzing the efficacy of medicine and food homologous products based on PPG signal characteristics, which is characterized by comprising: Acquire a pulse waveform in a PPG signal of a user; the pulse waveform includes: a first pulse waveform in a first PPG signal before the user consumes the product, and a second pulse waveform in a second PPG signal after the user consumes the product; Analyzing the pulse waveform to obtain harmonic data corresponding to the pulse waveform; the harmonic data includes first harmonic data corresponding to the first pulse waveform and second harmonic data corresponding to the second pulse waveform; The second harmonic data and the first harmonic data are compared to obtain the function data of the product.

[0011] Optionally, the pulse waveform analysis further includes: Perform signal preprocessing based on the user PPG signal collected by the device; Obtaining a preprocessed user PPG signal, performing Fourier transform on the PPG signal, and extracting a DC component and various frequencies; By multiplying the fundamental frequency f0 by the harmonic order n, the nth harmonic frequency fn is obtained, which can be expressed as fn=n*f0.

[0012] Optionally, obtaining harmonic data corresponding to the pulse waveform includes: Collect data from the user before taking the medicine, record and pre-process the user's PPG signal, perform Fourier transform on the pre-processed PPG signal, and obtain the first harmonic data of the user before taking the medicine; Collect data from users after taking the medicine, record and pre-process the user's PPG signal, perform Fourier transform on the pre-processed PPG signal, and obtain the second harmonic data of the user after taking the medicine; Analyze the changes in the first and second harmonic data and compare the harmonic components.

[0013] Optionally, the method for analyzing the efficacy of medicine and food homologous products based on PPG signal characteristics is characterized by: Use smart devices or health monitoring bracelets to collect the user's PPG signal. Such devices are equipped with photoelectric sensors. Optical technology can be used to record blood volume changes and form pulse waveform data; The acquisition process should be carried out under stable conditions and the user should remain still to reduce the interference of movement or environment on the signal.

[0014] Optionally, the signal preprocessing includes: The signal preprocessing refers to filtering and smoothing the PPG signal; The filtering refers to applying a low-pass filter to remove high-frequency noise and applying a high-pass filter to remove low-frequency baseline drift; The smoothing process refers to using a smoothing algorithm to reduce the high-frequency fluctuations of the signal and improve the stability and accuracy of the signal.

[0015] Optionally, the harmonic component comparison further includes: The harmonic component comparison refers to comparing the changes in each harmonic component in the PPG signal before and after taking the drug, recording the harmonic value at each time point, and calculating the change amplitude of the harmonic value after taking the drug compared with that before taking the drug.

[0016] Optionally, the method for analyzing the efficacy of medicine and food homologous products based on PPG signal characteristics is characterized by: According to the pre-trained meridian analysis model, the changes in the harmonic components of a specific meridian can be identified, the changes in the state of the meridian can be judged, and the association between a specific harmonic component and a specific meridian can be determined.

[0017] The present application provides a device for analyzing the efficacy model of medicinal and edible products based on PPG signal characteristics, characterized in that a modern wearable device, including a smart watch or a fitness tracker, is integrated with a PPG sensor and can be used for daily health testing.

[0018] The present application provides a device for an efficacy analysis model of medicinal and edible products based on PPG signal characteristics, characterized in that the device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the large language model training optimization method on the computing cloud as described in any one of claims 1 to 7.

[0019] The present application provides an electronic device, characterized in that it includes: A computer device, characterized in that it comprises a memory and a processor, wherein a computer program is stored in the memory, wherein the processor implements the method for analyzing the efficacy of a medicinal and edible product based on PPG signal characteristics as claimed in any one of claims 1 to 7 when executing the computer program The beneficial effects of the present application are as follows: by using wearable devices such as smart watches, the user's PPG signal is collected in real time to ensure the timeliness and accuracy of the data; by using a pre-trained meridian analysis model, the harmonic component changes of a specific meridian can be accurately identified, thereby judging the state changes of the meridian, making the monitoring of meridian changes more scientific and reliable; by comparing the PPG signals of the user before and after taking the medicine and food products, the degree of influence of the product on specific meridians can be quantified, providing objective data support for the efficacy of the product; by collecting PPG signal data at multiple time points after taking the product, the efficacy changes of the product in different time periods can be fully captured, providing a more detailed efficacy analysis; by drawing the change trend curve of each meridian at different time points, the changes in the meridians can be intuitively displayed, which helps users and doctors better understand the efficacy of medicine and food products; the established comprehensive model not only includes the change amplitude of each meridian, but also reflects the change trend within different time ranges, providing a comprehensive meridian change analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required in the embodiments or the description of the prior art. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0021] Figure 1 A flow chart showing a method for analyzing the efficacy of a medicinal and edible product based on PPG signal characteristics disclosed in the present application; Figure 2A flowchart showing a specific technical solution disclosed in this application is shown; Figure 3 A specific PPG signal acquisition diagram disclosed in the present application is shown; Figure 4 A specific PPG signal preprocessing diagram disclosed in the present application is shown; Figure 5 A specific Fourier transform diagram disclosed in the present application is shown; Figure 6 A specific harmonic change diagram after a user drinks tea disclosed in the present application is shown; Figure 7 The overall technical architecture diagram of a method for analyzing the efficacy of medicinal and edible products based on PPG signal characteristics disclosed in the present application is shown. DETAILED DESCRIPTION

[0022] Various exemplary embodiments, features and aspects of the present application will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0023] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "plurality" means two or more, unless otherwise clearly and specifically defined.

[0024] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0025] In addition, in order to better illustrate the present application, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present application can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present application.

[0026] Photoplethysmography (PPG) is a non-invasive optical measurement method that reflects blood flow and volume changes by monitoring changes in light absorption in the blood. This technology is widely used to monitor physiological indicators such as heart rate and blood oxygen saturation. PPG sensors usually consist of a light source and a photodetector. The light emitted by the light source is irradiated onto the skin and is reflected, scattered and absorbed by tissues and blood. The detector receives the light reflected back from the tissue and obtains a PPG signal.

[0027] Fast Fourier Transform (FFT) is an efficient algorithm for calculating discrete Fourier transform (DFT) and its inverse transform. Fourier transform is a basic tool in signal processing, which reveals the frequency components and amplitude information of the signal by converting the time domain signal to the frequency domain.

[0028] like Figure 1 As shown, the method for analyzing the efficacy of medicine and food homologous products based on PPG signal characteristics in the embodiment of the present application comprises the following steps: S100, the present application is to obtain the pulse waveform in the user's PPG signal based on the device worn by the user.

[0029] Specifically, let the user stay still under stable conditions, avoid strenuous exercise and light changes, to ensure the quality of the collected signal. Use devices equipped with photoelectric sensors such as smart watches or health monitoring bracelets to collect the user's PPG signal. Such devices can use optical technology to record changes in blood volume under the skin to form pulse waveform data, such as Figure 3 shown.

[0030] Among them, the data collection before taking is to record the PPG signal at a time point as baseline data before the user takes the medicine-food product, as the first pulse waveform; the data collection after taking is to continuously collect PPG signal data at multiple time points (such as 15 minutes, half an hour, one hour, two hours) after the user takes the medicine-food product, and this part of the data is used as the second pulse waveform.

[0031] S200, the present application analyzes the pulse waveform to obtain harmonic data corresponding to the pulse waveform.

[0032] Specifically, the analysis of the pulse waveform includes signal preprocessing, heart rate calculation, Fourier transform and meridian analysis technology.

[0033] like Figure 4As shown, signal preprocessing includes applying a low-pass filter to remove high-frequency noise (such as ambient light changes and device vibrations), using a high-pass filter to remove low-frequency baseline drift (such as baseline drift caused by changes in body posture), and using a smoothing algorithm (such as moving average or Kalman filtering) to reduce the high-frequency fluctuations of the signal and improve the stability and accuracy of the signal.

[0034] Specifically, the heart rate calculation is to calculate the user's heart rate based on the preprocessed PPG signal. The heart rate value (HR) is usually expressed in beats per minute (BPM). At the same time, the heart rate value (HR) needs to be converted into the basic frequency f0, that is, the heart rate is divided by 60 seconds to get the heart rate per second (Hz): f0=HR / 60.

[0035] Specifically, Fourier transform refers to performing Fourier transform on the preprocessed PPG signal to extract the DC component and various frequency components (harmonics). Figure 5 As shown, the harmonic frequency is an integer multiple of the fundamental frequency, that is, the nth harmonic frequency fn can be expressed as fn=n*f0, where n is a positive integer representing the harmonic order.

[0036] Specifically, meridian analysis uses a pre-trained meridian analysis model, which has learned the relationship between PPG signal characteristics and TCM meridian theory under different meridian states through a large number of samples. The model can identify the changes in the harmonic components of a specific meridian, thereby judging the changes in the state of the meridian. The association between a specific harmonic component and a specific meridian has been trained and verified through a large amount of data. For example, the change of a certain harmonic component is closely related to the change of the liver meridian.

[0037] S300, the present application compares the first harmonic data and the second harmonic data to obtain the function data of the product.

[0038] Specifically, the harmonic component comparison before and after taking the medicine is to compare the changes of each harmonic component in the PPG signal before and after taking the medicine, record the harmonic value at each time point, and then calculate the change amplitude of the harmonic value after taking the medicine compared with that before taking the medicine, for example Figure 6 , it can record the change amplitude of each harmonic after the user drinks black tea and green tea.

[0039] Specifically, the established efficacy model includes the change amplitude and time variables of each meridian. We can define the comprehensive change amplitude Ci of the i-th meridian, which takes into account the influence of time. The calculation formula is as follows: C_i=∑_(t=1)^T▒〖A_it∙ω(t)〗, where A_it represents the change amplitude of the i-th meridian at the t-th time point, and ω(t) represents the weight of the change amplitude at each time point. Through the above mathematical model, we can simultaneously consider the change amplitude and time influence of each meridian. This model can be used to comprehensively evaluate the comprehensive effect of medicinal and edible products or other influencing factors on meridians.

[0040] Finally, a detailed analysis report is generated, including the degree of influence of each medicinal and edible product on specific meridians, change trends, etc. The report can also combine traditional Chinese medicine theory to provide corresponding traditional Chinese medicine explanations to help users better understand the efficacy of the product. The generated traditional Chinese medicine explanation can be generated using the traditional Chinese medicine big model. Here, the traditional Chinese medicine big model needs to be trained in combination with the meridian efficacy model data of the medicinal and edible products of S200. The external vector data RAG or model fine-tuning method can be used so that the big model can interpret the results of the meridian report in combination with traditional Chinese medicine knowledge. In addition, users can ask questions to the analysis report and answer them based on calling the traditional Chinese medicine big model and combining the content of the report.

[0041] The overall technical architecture of the above technical solution is as follows: Figure 7 As shown: By connecting to external modules, the corresponding relationship between users and products can be obtained from external systems, such as pharmacy prescriptions issued by hospitals, medicine and food homology products recommended by the system, and medicine and food homology products issued by research institutions; Obtain the PPG data of users before and after taking medicine by connecting to wearable hardware device modules, such as connecting smart watches or oximeters through APP or mini-programs to complete data collection; In the system, the PPG data analyzed by the meridian analysis module is comprehensively analyzed with the corresponding relationship of the product, and the analysis results of the user's meridians of the medical and food homology products are generated, entered into the product meridian efficacy database, and sent to the TCM language model to generate an analysis report; Finally, the analysis report is sent to the clients of users, doctors and researchers respectively.

[0042] like Figure 2 As shown, the technical solution of the present application uses a flowchart, including the following steps: In the first step, users need to register through the mobile app or mini program and enter their basic information and health status; The second step is divided into three types according to the method selected by the user: recommendation by a TCM doctor, recommendation by the system to the user, and support for efficacy research on products with the same origin of medicine and food. Among them, recommendation by a TCM doctor means that the user makes an appointment for a face-to-face consultation with a TCM doctor, and the TCM doctor prescribes Chinese medicine after diagnosis; system recommendation to users means that products with the same origin of medicine and food are recommended based on meridian analysis technology through the PPG signal detection device worn by the user; support for efficacy research on products with the same origin of medicine and food means that the research unit of the same origin of medicine and food distributes the same origin of medicine and food and wearable devices to users, and pre-sets the products that each user wants to try in the system; In the third step, the relevant information generated in the second step is transmitted to the user's mobile phone through the system, and the mobile phone APP or applet will synchronize the prescription / recommendation information to the user's smart watch / bracelet and other wearable devices via Bluetooth or the Internet; In the fourth step, the user's wearable device will remind the user to take the medicine and food products or Chinese medicine prescriptions at the set time, and the user can confirm the taking on the device; Step 5: The user's wearable device will automatically record the user's PPG signals before and after taking the product, and send them to the system through the APP or mini program to analyze meridian changes and generate a report; Step 6. If the user chooses a recommendation from a Chinese medicine doctor in the second step, the user's meridian changes will be fed back to the doctor for re-examination and follow-up.

[0043] The following is the specific implementation process: 1. User registration and personal information entry: Users register through the mobile app / mini program and enter their basic personal information and health status.

[0044] 2. Prescriptions or recommendations for edible and medicinal products are divided into the following three situations: (1) Recommendation by TCM doctors: Users can make an appointment with a TCM doctor for a face-to-face consultation, and the doctor will prescribe Chinese medicine based on the user’s physical condition and health status.

[0045] (2) System recommendations to users: Wearable devices detect the user's PPG signals over a long period of time and recommend medicinal and edible products based on meridian analysis technology.

[0046] (3) Supporting efficacy research on food-drug products: Food-drug research units need to distribute food-drug products and wearable devices to experimenters, and pre-set the products that each user wants to try in the system.

[0047] 3. Prescription / recommendation transmission: Whether it is a Chinese medicine prescription recommended by a doctor or a medicine-food product recommended by the system, the relevant information will be transmitted to the user's mobile phone through the system. The mobile app synchronizes the prescription / recommendation information to the user's smart watch / bracelet and other wearable devices through Bluetooth or 4G network.

[0048] 4. Confirmation of taking: The wearable device reminds the user to take food and medicine products or Chinese medicine prescriptions at the set time, and the user confirms taking the medicine on the wearable device.

[0049] 5. Data recording and analysis: The watch records the PPG signals before and after taking the medicine, and transmits them to the cloud through the App for meridian analysis. The system analyzes the changes in meridians by comparing the PPG signals before and after taking the medicine and generates a report.

[0050] 6. Doctor's follow-up and consultation: If it is a Chinese medicine prescription recommended by a doctor, the user's meridian change report will be fed back to the doctor for follow-up and consultation.

[0051] The beneficial effects of the present application are that, through wearable devices such as smart watches, the user's PPG signal is collected in real time to ensure the timeliness and accuracy of the data. By using a pre-trained meridian analysis model, the harmonic component changes of a specific meridian can be accurately identified, thereby judging the state changes of the meridian, making the monitoring of meridian changes more scientific and reliable; by comparing the PPG signals of the user before and after taking the medicine and food products, the degree of influence of the product on the specific meridian can be quantified, providing objective data support for the efficacy of the product, and collecting PPG signal data at multiple time points after taking it can comprehensively capture the efficacy changes of the product in different time periods, providing a more detailed efficacy analysis; by drawing the change trend curve of each meridian at different time points, the changes in the meridians can be intuitively displayed, which helps users and doctors better understand the efficacy of medicine and food products. The established comprehensive model not only includes the change amplitude of each meridian, but also reflects the change trend within different time ranges, providing a comprehensive meridian change analysis.

[0052] The embodiments of the present application have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A method for analyzing the efficacy of medicinal and edible products based on PPG signal characteristics, characterized in that: include: Obtain the pulse waveform in the user's PPG signal; The pulse waveform includes: a first pulse waveform in a first PPG signal before the user consumes the product, and a second pulse waveform in a second PPG signal after the user consumes the product; Analyzing the pulse waveform to obtain harmonic data corresponding to the pulse waveform; the harmonic data includes first harmonic data corresponding to the first pulse waveform and second harmonic data corresponding to the second pulse waveform; The second harmonic data and the first harmonic data are compared to obtain the function data of the product.

2. The method for analyzing the efficacy of medicinal and edible products based on PPG signal characteristics according to claim 1, characterized in that: The pulse waveform is analyzed, including: Perform signal preprocessing based on the user PPG signal collected by the device; Obtaining a preprocessed user PPG signal, performing Fourier transform on the PPG signal, and extracting a DC component and various frequencies; By multiplying the fundamental frequency f0 by the harmonic order n, the nth harmonic frequency fn is obtained, which can be expressed as fn=n*f0.

3. The method for analyzing the efficacy of medicinal and edible products based on PPG signal characteristics according to claim 1, characterized in that: The obtaining of harmonic data corresponding to the pulse waveform comprises: Collect data from the user before taking the medicine, record and pre-process the user's PPG signal, perform Fourier transform on the pre-processed PPG signal, and obtain the first harmonic data of the user before taking the medicine; Collect data from users after taking the medicine, record and pre-process the user's PPG signal, perform Fourier transform on the pre-processed PPG signal, and obtain the second harmonic data of the user after taking the medicine; Analyze the changes in the first and second harmonic data and compare the harmonic components.

4. The method for analyzing the efficacy of food and medicine products based on PPG signal characteristics according to claim 1, characterized in that: Use smart devices or health monitoring bracelets to collect the user's PPG signal. Such devices are equipped with photoelectric sensors. Optical technology can be used to record blood volume changes and form pulse waveform data; The acquisition process should be carried out under stable conditions and the user should remain still to reduce the interference of movement or environment on the signal.

5. The method for analyzing the efficacy of food and medicine products based on PPG signal characteristics according to claim 2, characterized in that: The signal preprocessing comprises: The signal preprocessing refers to filtering and smoothing the PPG signal; The filtering refers to applying a low-pass filter to remove high-frequency noise and applying a high-pass filter to remove low-frequency baseline drift; The smoothing process refers to using a smoothing algorithm to reduce the high-frequency fluctuations of the signal and improve the stability and accuracy of the signal.

6. The method for analyzing the efficacy of medicinal and edible products based on PPG signal characteristics according to claim 3, characterized in that: The harmonic component comparison includes: The harmonic component comparison refers to comparing the changes in each harmonic component in the PPG signal before and after taking the drug, recording the harmonic value at each time point, and calculating the change amplitude of the harmonic value after taking the drug compared with that before taking the drug.

7. The method for analyzing the efficacy of food and medicine products based on PPG signal characteristics according to claim 2, characterized in that: According to the pre-trained meridian analysis model, the changes in the harmonic components of a specific meridian can be identified, the changes in the state of the meridian can be judged, and the association between a specific harmonic component and a specific meridian can be determined.

8. A device for analyzing the efficacy of medicine and food homologous products based on PPG signal characteristics, characterized in that: A modern wearable device, including a smart watch or fitness tracker, has an integrated PPG sensor that can be used for daily health monitoring.

9. A device for analyzing the efficacy of medicine and food homologous products based on PPG signal characteristics, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the large language model training optimization method on a computing cloud as described in any one of claims 1 to 7.

10. An electronic device, characterized in that: include: A computer device, characterized in that The method comprises a memory and a processor, wherein a computer program is stored in the memory, and wherein the processor implements the method for analyzing the efficacy of a medicinal and edible product based on PPG signal characteristics as described in any one of claims 1 to 7 when executing the computer program.

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