Pain monitoring system and pain monitoring information collection assembly

Abstract

In the pain monitoring system, an information collection assembly comprises a pain physiological signal collection device and a subjective pain assessment device; the pain physiological signal collecting device is in signal communication with the monitoring server assembly; the pain physiological signal collecting device is used for collecting pain physiological signals of the testee; the subjective pain assessment device collects subjective pain assessment information of the testee; the information collection assembly sends the pain physiological signal and the subjective pain assessment information to the monitoring server assembly to form pain data; and the monitoring server component performs evaluation analysis according to the pain data and outputs a pain evaluation report. The pain monitoring information collection assembly and a pain physiological signal collection device collect pain physiological signals of a testee, and the pain physiological signals comprise a blood oxygen signal, a heart rate signal and an electroencephalogram signal; the subjective pain assessment device collects subjective pain assessment information of a subject. The pain assessment gives consideration to objectivity and subjective feelings, and the assessment is closer to real experience.

Description

Technical Field

[0001] The present application belongs to the technical field of pain quantitative analysis, and specifically relates to a pain monitoring system and a pain monitoring information collection component. Background Art

[0002] Pain is one of the most common clinical disease symptoms. Chronic pain is considered the third largest health problem after cardiovascular and cerebrovascular diseases and tumors. Effective treatment depends on accurate and objective assessment of pain status. However, how to collect pain information and conduct quantitative assessment of pain has always been a technical problem to be solved.

[0003] Pain can cause changes in a series of physiological signal parameters, so through the collection and analysis of physiological signal parameters, we can obtain quantitative indicators of pain for reference. However, the means and mechanisms for obtaining physiological signal parameters in the existing technology are relatively limited and cannot be exhausted. Therefore, it is also limited to rely solely on the changes in some physiological signal parameters for pain assessment.

[0004] At the same time, pain is also a subjective feeling. There is a certain degree of subjectivity. How to take into account the quantitative evaluation based on physiological signal parameters and the pain monitoring system that can take into account the subjective feelings of the tester at the same time has not yet been seen.

[0005] The treatment of general pain, in addition to treating the cause of the pain, also involves the use of pain medications. Pain medications are generally controlled drugs and have clear legal provisions. They cannot be used indiscriminately. Doctors need to have restrictions on prescribing drugs. How to evaluate whether a patient should take medication is a technical problem that needs to be solved urgently. Summary of the invention

[0006] The present application proposes a pain monitoring system, which collects the tester's subjective and objective pain information and gives a report on the tester's pain time, frequency, pain intensity and other information. Doctors can make medical judgments and medication basis based on the report.

[0007] In this application, the EEG signals of the test subjects are analyzed by AI technology, and the unique EEG waveform during pain is proposed. This method provides an accurate and objective evaluation basis and can accurately detect the current pain status of the test subjects.

[0008] The technical solution of the present application to solve the above-mentioned problem is a pain monitoring system, including an information collection component and a monitoring server component; the information collection component includes a pain physiological signal collection device and a subjective pain assessment device; the pain physiological signal collection device is signal-connected to the monitoring server component; the pain physiological signal collection device collects the pain physiological signals of the tester, and the pain physiological signals include blood oxygen signals, heart rate signals, and electroencephalogram signals; the subjective pain assessment device collects the subjective pain assessment information of the tester; the information collection component sends the above-mentioned pain physiological signals and subjective pain assessment information to the monitoring server component to form pain data; the monitoring server component performs evaluation and analysis based on the above-mentioned pain data and outputs a pain assessment report.

[0009] The monitoring server component includes an AI computing module and a pain feature data set A. The AI ​​computing module analyzes the pain data according to the pain feature data set and outputs a pain assessment report.

[0010] The AI ​​computing module obtains the labeled pain physiological signals by labeling the pain physiological signals according to the subjective pain assessment in the above pain feature data set, and uses the labeled pain physiological signals as the AI ​​model training input to obtain the above pain feature data set A through training.

[0011] The above pain data is used for AI model training, and the AI ​​model outputs pain feature data set B after training.

[0012] The above-mentioned pain monitoring system includes any one of the following technical features: TA1: It also includes a doctor terminal, which is connected to the above-mentioned monitoring server component by signal, and obtains the above-mentioned pain assessment report through the doctor terminal; TA2: It also includes a user terminal, which is connected to the above-mentioned monitoring server component by signal, and obtains the above-mentioned pain assessment report or doctor's advice; TA3: The pain physiological signal collection device includes a blood oxygen detection module, a heart rate detection module, and an electroencephalogram detection module; the above-mentioned heart rate detection module obtains heart rate information based on the blood oxygen PPG signal obtained by the blood oxygen detection module.

[0013] The above-mentioned pain monitoring system includes any one of the following technical features: TB1: The above-mentioned subjective pain assessment device includes a pain start button. When the tester feels pain, he presses the pain start button, and the pain physiological signal collection device starts to collect pain physiological signals; TB2: The above-mentioned subjective pain assessment device includes a pain start button. When the tester feels pain, he presses the pain start button, and the pain physiological signal collection device marks the collected pain physiological signals with a pain start mark; TB3: The above-mentioned subjective pain assessment device includes a pain end button. When the tester feels the end of the pain, he presses the pain end button, and the pain physiological signal collection device stops collecting pain physiological signals; TB4: The above-mentioned subjective pain assessment device includes a pain end button. When the tester feels the end of the pain, he presses the pain end button, and the pain physiological signal collection device marks the collected pain physiological signals with a pain end mark; TB5: The subjective pain assessment device includes a posture sensor, and the posture sensor is used to collect the posture input by the tester or the speed of posture change; the posture sensor is used to collect the information input by the tester, including continuous wrist flipping movements to indicate pain.

[0014] The above-mentioned pain monitoring system includes any one of the following technical features: TC1: The subjective pain assessment device includes a pain intensity feedback device. When the tester feels pain, it feeds back pain intensity signals of different intensities according to the pain intensity; TC2: The information collection component also includes a reference time device, which provides a time signal to the pain physiological signal collection device and the subjective pain assessment device; TC3: The above-mentioned monitoring server component collects pain physiological signals including blood oxygen signals, heart rate signals, EEG signals and blood pressure signals; TC4: The above-mentioned monitoring server component collects subjective pain assessment information including pain start information, pain end information and pain intensity information; TC5: The above-mentioned monitoring server component collects tester information including tester age, gender and pain attribute information; TC6: The above-mentioned monitoring server component collects tester information including tester age, gender and pain attribute information; the pain attribute information includes any one of pain site information and pain duration information; TC7: The pain physiological signal collection device uses a single-channel EEG acquisition system to collect the tester's scalp EEG signal; the sampling rate is 1000Hz; the length of each time period is greater than 2 seconds.

[0015] The technical solution of the present application to solve the above-mentioned problem can also be a pain monitoring information collection component, including a pain physiological signal collection device and a subjective pain assessment device; the pain physiological signal collection device collects the pain physiological signals of the tester, and the pain physiological signals include blood oxygen signals, heart rate signals, and electroencephalogram signals; the subjective pain assessment device collects the subjective pain assessment information of the tester.

[0016] The above-mentioned pain monitoring information collection component includes any one of the following technical features: TD1: The pain physiological signal collection device includes a blood oxygen detection module, a heart rate detection module, and an electroencephalogram detection module; the above-mentioned heart rate detection module obtains heart rate information based on the blood oxygen PPG signal obtained by the blood oxygen detection module; TD2: The subjective pain assessment device includes a pain intensity feedback device, and when the tester feels pain, pain intensity signals of different intensities are fed back according to the pain intensity; TD3: The information collection component also includes a reference time device, which provides a time signal to the pain physiological signal collection device and the subjective pain assessment device.

[0017] The above-mentioned pain monitoring information collection component includes any one of the following technical features: TE1: The above-mentioned subjective pain assessment device includes a pain start button. When the tester feels pain, he presses the pain start button, and the pain physiological signal collection device starts to collect pain physiological signals; TE2: The above-mentioned subjective pain assessment device includes a pain start button. When the tester feels pain, he presses the pain start button, and the pain physiological signal collection device marks the collected pain physiological signals with a pain start mark; TE3: The above-mentioned subjective pain assessment device includes a pain end button. When the tester feels the end of the pain, he presses the pain end button, and the pain physiological signal collection device stops collecting pain physiological signals; TE4: The above-mentioned subjective pain assessment device includes a pain end button. When the tester feels the end of the pain, he presses the pain end button, and the pain physiological signal collection device marks the collected pain physiological signals with a pain end mark; TE5: The above-mentioned subjective pain assessment device includes a posture sensor, and the posture sensor is used to collect the posture input by the tester or the speed of posture change; the posture sensor is used to collect the information input by the tester, including continuous wrist flipping movements to indicate pain.

[0018] The beneficial technical effects of the present application include: a pain physiological signal collection device and a subjective pain assessment device are set in the pain monitoring system to collect objective quantitative physiological signal data and subjective pain assessment information respectively, and send them to the monitoring server component to form pain data. The pain data includes both quantitative assessment data based on physiological signals and subjective pain assessment data, so that the pain data can better reflect the real feelings.

[0019] The beneficial technical effects of this application include: the monitoring server component uses the AI ​​computing module and the pain feature data set to analyze and synthesize the data and output a more accurate pain assessment report. Pain assessment calculations are very computationally intensive, and performing them in the monitoring server component can save the computing power of the terminal and make the terminal simpler.

[0020] The beneficial technical effects of this application include that the monitoring server component can also collect AI training data and conduct AI training at the same time; and output a pain assessment report at the same time. The data is aggregated to the monitoring server component for calculation and output of the pain assessment report, so that different types of data can be exchanged in the monitoring server component and participate in AI training, thereby realizing the update and iteration of the pain feature data set.

[0021] The beneficial technical effects of the present application include that the AI ​​computing module uses the labeled pain physiological signals as AI model training input to obtain the above-mentioned pain feature data set A through training. The system can automatically establish AI recognition capabilities, and the more users there are, the stronger the recognition capabilities will be.

[0022] The beneficial technical effects of the present application include outputting a pain feature dataset B after the AI ​​model is trained. The pain feature dataset B of each patient in each time period can be used for subsequent recognition training, and a new AI model can be evaluated to improve AI recognition capabilities.

[0023] The beneficial technical effects of the present application include that pain assessment reports are all based on the output of the monitoring server component, ensuring the consistency of data calculation, and preventing inconsistency in report results due to differences in AI model training caused by different data acquisition amounts from each terminal.

[0024] The beneficial technical effects of the present application include that the doctor terminal obtains the pain assessment report from the monitoring server component, which facilitates the doctor's management and prescription of pain assessment reports for multiple subjects.

[0025] The beneficial technical effects of the present application include that the user terminal obtains a pain assessment report or doctor's advice from the monitoring server component, facilitating the interaction between the user and the doctor.

[0026] With the help of pain feature data sets trained by AI, the correlation between objective physiological signal data and subjective pain assessment information can be established in depth and continuously iterated. Based on this, the accuracy of pain AI recognition will become higher and higher.

[0027] The beneficial technical effects of the present application include that the pain physiological signal collection device includes a blood oxygen detection module, a heart rate detection module, and an electroencephalogram detection module; pain monitoring is performed based on multiple physiological parameters, making the dimensions of physiological data analysis richer, and making pain assessment more objective and closer to reality.

[0028] The beneficial technical effects of the present application include that the blood oxygen detection module and the heart rate detection module are easier to carry than other physiological parameters, and are more convenient for large-scale data collection and application. The blood oxygen detection module, the heart rate detection module, and the EEG detection module can be integrated into a wearable module to facilitate data acquisition.

[0029] The beneficial technical effects of the present application include the setting of a pain start button and an end button, synchronously starting the collection or identification of physiological signals at the beginning of pain, and synchronously starting the collection or identification of physiological signals at the end of pain, reducing the data load of the system, making it easier to grasp key information related to pain, improving the efficiency of data collection and analysis, and avoiding the time, storage space and computing power consumption of searching for pain data in massive data for a long time.

[0030] The beneficial technical effects of the present application include that the pain intensity feedback device feeds back pain intensity signals of different intensities according to the pain intensity, and the pain intensity information provides a quantitative classification benchmark for evaluating the quantification of pain. The quantification and unification of pain intensity information can facilitate the long-term pain evaluation of individuals. The quantification and unification of pain intensity information can also facilitate comparative studies on pain evaluation of different individuals.

[0031] The beneficial technical effects of the present application include that the reference time device provides time signals to the pain physiological signal collection device and the subjective pain assessment device, ensuring time synchronization between the two sets of devices, ensuring time consistency of signal processing, and improving the accuracy and consistency of pain reports output by the pain monitoring system.

[0032] The beneficial technical effects of the present application include that the input of pain start information, pain end information, and pain intensity information provides basic information for converting subjective pain assessment into objective assessment, and establishes a channel for subjective and objective links for the quantification of pain.

[0033] The beneficial technical effects of the present application include that the posture sensor can detect the intensity and frequency of the test subject's movements when in pain, allowing the test subject to more conveniently input pain start information or pain end information or pain intensity information.

[0034] The beneficial technical effects of the present application include that the monitoring server component collects tester information including the tester's age, gender, and pain attribute information; the corresponding data can be classified and collected according to the tester's age, gender, and pain attribute information, allowing different groups of people to establish their own corresponding pain feature data sets, so that the pain feature data sets can more accurately reflect the pain attributes of different testers of different ages and genders.

[0035] The beneficial technical effects of the present application include that pain attribute information includes pain site information and pain duration, which further refines the pain differentiation mechanism, classifies and collects corresponding data for different pain sites and different pain durations, and establishes corresponding pain feature data sets for different pain sites and different pain durations, allowing the quantitative assessment of pain to go to a deeper level.

[0036] The beneficial technical effects of the present application include that the pain monitoring information collection component is an independently set component, and the pain physiological signal collection device and the subjective pain assessment device respectively collect objective physiological signal information and collect subjective pain assessment information at the same time.

[0037] The beneficial technical effects of the present application include that the pain monitoring information collection component can be a portable device, which facilitates the collection of physiological signal information and subjective pain assessment information. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a schematic diagram of a pain monitoring system. Figure 1 ;

[0039] Figure 2 This is a schematic diagram of a pain monitoring system. Figure 2 ;

[0040] Figure 3 This is a schematic diagram of a pain monitoring system. Figure 3 ;

[0041] Figure 4 This is a schematic diagram of a subjective pain assessment device. Figure 1 ;

[0042] Figure 5 This is a schematic diagram of a subjective pain assessment device. Figure 2 ;

[0043] Figure 6 It is a schematic frame of the information collection component Figure 1 ;

[0044] Figure 7 It is a schematic frame of the information collection component Figure 2 ;

[0045] Figure 8 This is a schematic diagram of a pain monitoring system. Figure 4 ;

[0046] Fig. 9 This is a schematic diagram of a pain monitoring system. Figure 5 ;

[0047] Fig.10 Schematic diagram of pain information collection of subjective pain assessment device;

[0048] Fig.11 This is a schematic diagram of a pain monitoring system. Figure 6 . DETAILED DESCRIPTION

[0049] The implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings.

[0050] In this application, in the pain monitoring system based on EEG signals, a pain assessment report can be output through the information collection component and the monitoring server component. This system will improve the applicability and practicality of pain identification and assessment quantification in clinical environments, and achieve more scientific and effective pain management. By fusing multidimensional information, an assessment model that can evaluate the patient's pain status in real time is established, thereby achieving real-time and accurate assessment of the pain status.

[0051] like Figure 1 and Figure 2 In one embodiment of a pain monitoring system, the system includes an information collection component and a monitoring server component; the information collection component includes a pain physiological signal collection device and a subjective pain assessment device; the pain physiological signal collection device is connected to the monitoring server component by signal; the pain physiological signal collection device collects the pain physiological signals of the tester, and the pain physiological signals include blood oxygen signals, heart rate signals, and electroencephalogram signals; the subjective pain assessment device collects the subjective pain assessment information of the tester; the information collection component sends the above pain physiological signals and subjective pain assessment information to the monitoring server component to form pain data; the monitoring server component outputs a pain assessment report based on the pain physiological signals and subjective pain assessment information and other pain data. The output pain assessment report includes pain time, frequency, and pain intensity.

[0052] like Figure 1 In an embodiment of a pain monitoring system, the monitoring server component includes an AI computing module and a pain feature data set. The AI ​​computing module analyzes the pain data according to the pain feature data set and outputs a pain assessment report.

[0053] like Figure 2 In an embodiment of a pain monitoring system, the above-mentioned pain monitoring system also includes a doctor terminal, which is signal-connected to the above-mentioned monitoring server component, and the above-mentioned pain assessment report is obtained through the doctor terminal.

[0054] like Figure 2 In an embodiment of a pain monitoring system, the above-mentioned pain monitoring system also includes a user terminal, which is connected to the above-mentioned monitoring server component by signal to obtain the above-mentioned pain assessment report or doctor's advice.

[0055] like Figure 3 In an embodiment of a pain monitoring system, the pain physiological signal collection device includes a blood oxygen detection module, a heart rate detection module, and an electroencephalogram detection module; the above-mentioned heart rate detection module obtains heart rate information based on the blood oxygen PPG signal obtained by the blood oxygen detection module.

[0056] like Figures 4 to 6In an embodiment of a pain monitoring system, the above-mentioned subjective pain assessment device includes a pain start button. When the test subject feels pain, he presses the pain start button, and the pain physiological signal collection device starts to collect pain physiological signals; the above-mentioned subjective pain assessment device includes a pain end button. When the test subject feels the pain is over, he presses the pain end button, and the pain physiological signal collection device stops collecting pain physiological signals.

[0057] like Figures 4 to 6 In an embodiment of a pain monitoring system, the above-mentioned subjective pain assessment device includes a pain start button. When the test subject feels pain, he presses the pain start button, and the pain physiological signal collection device marks the collected pain physiological signal with a pain start mark; the above-mentioned subjective pain assessment device includes a pain end button. When the test subject feels the pain is over, he presses the pain end button, and the pain physiological signal collection device marks the collected pain physiological signal with a pain end mark.

[0058] like Figures 4 to 6 In an embodiment of a pain monitoring system, the subjective pain assessment device includes a pain intensity feedback device, and when the test subject feels pain, a pain intensity signal of different intensities is fed back according to the pain intensity.

[0059] like Figures 8 to 9 In an embodiment of a pain monitoring system, the information collection component also includes a reference time device, which provides a time signal to the pain physiological signal collection device and the subjective pain assessment device.

[0060] like Figure 7 In an embodiment of a pain monitoring system, the monitoring server component collects pain physiological signals including blood oxygen signals, heart rate signals, EEG signals and blood pressure signals; the monitoring server component collects subjective pain assessment information including pain start information, pain end information and pain intensity information.

[0061] In an embodiment of a pain monitoring system not shown in the accompanying drawings, the monitoring server component collects tester information including the tester's age, gender, and pain attribute information; the monitoring server component collects tester information including the tester's age, gender, and pain attribute information; the pain attribute information includes any one of pain site information and pain duration information. The pain physiological signal collection device uses a single-channel EEG acquisition system to collect the tester's scalp EEG signal; the sampling rate is 1000 Hz; and the length of each time period is greater than 2 seconds.

[0062] like Figure 3 In an embodiment of a pain monitoring system, the pain physiological signal collection device includes a blood oxygen detection module, a heart rate detection module, and an electroencephalogram detection module; the above-mentioned heart rate detection module obtains heart rate information based on the blood oxygen PPG signal obtained by the blood oxygen detection module.

[0063] like Fig. 9 In an embodiment of a pain monitoring system, the information collection component includes a network module, and the information collection component can be connected to the monitoring server component through the network module.

[0064] like Fig.10 In an embodiment of a pain monitoring system, the information collection component includes a Bluetooth module, and the information collection component is connected to the user terminal via a Bluetooth signal.

[0065] like Fig.11 In an embodiment of the pain monitoring system, the pain physiological signal collection device includes a Bluetooth module; the user terminal is connected to the pain physiological signal collection device via a Bluetooth signal; the subjective pain assessment device includes a Bluetooth module, and the subjective pain assessment device is connected to the pain physiological signal collection device via a Bluetooth signal; the subjective pain assessment device is connected to the user terminal via a Bluetooth signal. The subjective pain assessment device can be a portable device. The pain physiological signal collection device can also be a portable signal detection device, such as a bracelet. The two can also be integrated into an integrated device.

[0066] Not shown in some drawings, in an embodiment of a pain monitoring system, the monitoring server component also includes an AI training computing component; the AI ​​training computing component collects pain physiological signals including blood oxygen signals, heart rate signals, EEG signals, and blood pressure signals, and the AI ​​training computing component collects subjective pain assessment information including pain start information, pain end information, and pain intensity information. The above-mentioned AI training computing component collects tester information including the tester's age, gender, and pain attribute information; the above-mentioned AI training computing component collects tester information including the tester's age, gender, and pain attribute information; the pain attribute information includes any one of pain site information and pain duration information. The pain physiological signal collection device uses a single-channel EEG acquisition system to collect the tester's scalp EEG signal; the sampling rate is 1000Hz; and the length of each time period is greater than 2 seconds. The AI ​​training computing component performs AI training based on the obtained data to obtain a pain assessment data set for subsequent pain assessment, and outputs a pain assessment report.

[0067] In the application of pain monitoring system, the specific steps are as follows:

[0068]

S1

[0069]

S2

[0070]

S3

[0071] [S4] The monitoring server component performs pain recognition and calculation on the above data according to the previously trained model and outputs a pain assessment report.

[0072]

S5

[0073] Objectivity: By directly monitoring brain activity, the influence of subjective factors is reduced. Real-time: Real-time acquisition and analysis of EEG signals to quickly provide pain assessment results. Personalization: Combined with the patient's individual information, personalized pain assessment is achieved. Pain assessment method based on EEG signals, including technical implementation of signal acquisition, processing and analysis. Signal acquisition device using single-channel electrodes and its wireless transmission module. Technical solution for analyzing patient basic information and EEG signals and pain assessment in combination with machine learning algorithms. Design and implementation of real-time display and alarm modules.

[0074] The serial numbers such as first and second in this application are only for the convenience of expression and do not necessarily indicate the order relationship in size and time sequence. The letter serial numbers of the steps are also only for the convenience of expression and do not necessarily indicate the order relationship in time sequence. As shown in the accompanying drawings, the above are only embodiments of this application and do not limit the patent scope of this application. Any equivalent structure or equivalent process transformation made by using the invention specification and the contents of the accompanying drawings, or directly or indirectly used in other related technical fields, are also included in the patent protection scope of this application.

Claims

1. A pain monitoring system, characterized in that: Including information collection components and monitoring server components; The information collection component includes a pain physiological signal collection device and a subjective pain assessment device; The pain physiological signal collection device is in signal communication with the monitoring server component; The pain physiological signal collection device collects the pain physiological signals of the tester, and the pain physiological signals include blood oxygen signal, heart rate signal, and EEG signal; The subjective pain assessment device collects the tester's subjective pain assessment information; The information collection component sends the pain physiological signal and the subjective pain assessment information to the monitoring server component to form pain data; The monitoring server component performs evaluation and analysis based on the pain data and outputs a pain evaluation report.

2. The pain monitoring system according to claim 1, characterized in that: The monitoring server component includes an AI computing module and a pain feature data set A. The AI ​​computing module analyzes the pain data according to the pain feature data set and outputs a pain assessment report.

3. The pain monitoring system according to claim 2, characterized in that: The AI ​​computing module obtains the annotated pain physiological signal by annotating the pain physiological signal according to the subjective pain assessment in the pain feature data set, and uses the annotated pain physiological signal as the AI ​​model training input to obtain the pain feature data set A through training.

4. The pain monitoring system according to claim 2, characterized in that: The pain data is used for AI model training, and the AI ​​model outputs a pain feature data set B after training.

5. The pain monitoring system according to claim 1, characterized in that: Include any of the following technical features: TA1: also includes a doctor terminal, which is connected to the monitoring server component by signal, and obtains the pain assessment report through the doctor terminal; TA2: also includes a user terminal, which is connected to the monitoring server component by signal to obtain the pain assessment report or doctor's advice; TA3: The pain physiological signal collection device includes a blood oxygen detection module, a heart rate detection module, and an electroencephalogram detection module; the heart rate detection module obtains heart rate information based on the blood oxygen PPG signal obtained by the blood oxygen detection module.

6. The pain monitoring system according to claim 1, characterized in that: Include any of the following technical features: TB1: The subjective pain assessment device includes a pain start button. When the tester feels pain, he presses the pain start button, and the pain physiological signal collection device starts to collect pain physiological signals; TB2: The subjective pain assessment device includes a pain start button. When the tester feels pain, he presses the pain start button, and the pain physiological signal collection device marks the collected pain physiological signal with a pain start mark; TB3: The subjective pain assessment device includes a pain end button. When the tester feels that the pain is over, he presses the pain end button, and the pain physiological signal collection device stops collecting pain physiological signals; TB4: The subjective pain assessment device includes a pain end button. When the tester feels that the pain is over, he presses the pain end button, and the pain physiological signal collection device marks the collected pain physiological signal with a pain end mark; TB5: The subjective pain assessment device includes a posture sensor, which is used to collect the posture or speed of posture change input by the tester; the posture sensor is used to collect information input by the tester, including continuous wrist flipping movements to indicate pain.

7. The pain monitoring system according to claim 1, characterized in that: Include any of the following technical features: TC1: The subjective pain assessment device includes a pain intensity feedback device. When the tester feels pain, the device will feedback pain intensity signals of different intensities according to the pain intensity. TC2: The information collection component also includes a reference time device, which provides a time signal to the pain physiological signal collection device and the subjective pain assessment device; TC3: The monitoring server component collects pain physiological signals including blood oxygen signals, heart rate signals, EEG signals and blood pressure signals; TC4: The monitoring server component collects subjective pain assessment information including pain start information, pain end information, and pain intensity information; TC5: The monitoring server component collects tester information including the tester's age, gender, and pain attribute information; TC6: The monitoring server component collects tester information including the tester's age, gender, and pain attribute information; The pain attribute information includes any one of pain location information and pain duration information; TC7: The pain physiological signal collection device uses a single-channel EEG acquisition system to collect the tester's scalp EEG signals; the sampling rate is 1000 Hz; the length of each time segment is greater than 2 seconds.

8. A pain monitoring information collection component, characterized in that: It includes a pain physiological signal collection device and a subjective pain assessment device; The pain physiological signal collection device collects the pain physiological signals of the tester, and the pain physiological signals include blood oxygen signal, heart rate signal, and EEG signal; The subjective pain assessment device collects the tester's subjective pain assessment information.

9. The pain monitoring information collection component according to claim 8, characterized in that: Include any of the following technical features: TD1: The pain physiological signal collection device includes a blood oxygen detection module, a heart rate detection module, and an electroencephalogram detection module; the heart rate detection module obtains heart rate information according to the blood oxygen PPG signal obtained by the blood oxygen detection module; TD2: The subjective pain assessment device includes a pain intensity feedback device. When the tester feels pain, the device will feedback pain intensity signals of different intensities according to the pain intensity. TD3: The information collection component also includes a reference time device, which provides a time signal to the pain physiological signal collection device and the subjective pain assessment device.

10. The pain monitoring information collection component according to claim 8, characterized in that: Include any of the following technical features: TE1: The subjective pain assessment device includes a pain start button. When the tester feels pain, he presses the pain start button, and the pain physiological signal collection device starts to collect pain physiological signals; TE2: The subjective pain assessment device includes a pain start button. When the tester feels pain, he presses the pain start button, and the pain physiological signal collection device marks the collected pain physiological signal with a pain start mark; TE3: The subjective pain assessment device includes a pain end button. When the tester feels that the pain is over, he presses the pain end button, and the pain physiological signal collection device stops collecting pain physiological signals; TE4: The subjective pain assessment device includes a pain end button. When the tester feels that the pain is over, he presses the pain end button, and the pain physiological signal collection device marks the pain end mark on the collected pain physiological signal; TE5: The subjective pain assessment device includes a posture sensor, which is used to collect the posture or speed of posture change input by the tester; the posture sensor is used to collect information input by the tester, including continuous wrist flipping movements to indicate pain.

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