Real-time pain monitoring and feedback system

Abstract

The invention provides a real-time pain monitoring and feedback system, which belongs to the technical field of medical equipment and comprises a pain biomarker monitoring module, an external environment monitoring module, a data transmission module, a data processing and analysis module, a feedback module, a medical professional support module, an intelligent reminding module and a continuous learning and optimization module. The real-time pain monitoring and feedback system provided by the invention provides a more efficient, personalized and dynamic pain management method for patients and medical staff. Compared with a traditional method, the system not only improves the effect of pain management, but also improves the overall medical experience, and provides a basis for future medical research and technical development.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment, and in particular to a real-time pain monitoring and feedback system. Background Art

[0002] Pain is one of the most common clinical symptoms, which has many negative impacts on the quality of life of patients and the health of patients and their families. Pain is an unpleasant feeling and emotional experience. Unlike other common senses (hearing, vision), pain is a subjective feeling caused by various harmful stimuli of the body. It is greatly affected by psychological and social factors and is difficult to analyze quantitatively and qualitatively. Postoperative pain is acute pain and has become an important factor in the increase of postoperative complications and mortality. Although most postoperative patients use patient-controlled analgesia pumps, the analgesic effect is not ideal. Postoperative pain not only affects the recovery of such patients, but also increases complications and prolongs hospitalization. Due to manpower reasons, when the analgesic effect is not good, patients are often not treated in time. Therefore, there is an urgent need for a solution that can monitor pain and feedback in real time.

[0003] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0004] The object of the present invention is to provide a system capable of real-time monitoring and feedback of pain.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A real-time pain monitoring and feedback system, comprising:

[0007] Pain biomarker monitoring module, used to monitor pain-related biomarkers;

[0008] External environment monitoring module, used to collect environmental parameters and evaluate the correlation between pain and environmental parameters;

[0009] Data transmission module, used to transmit data to cloud servers and smart mobile devices in real time;

[0010] Data processing and analysis module, used for real-time data analysis;

[0011] A feedback module for patients to provide feedback on pain information and advice to patients;

[0012] A medical professional support module for sharing monitoring data with doctors in real time to facilitate remote tracking of patient conditions;

[0013] Intelligent reminder module, which is used to automatically send an alarm to medical staff when the system detects abnormal pain patterns so that medical staff can intervene in time;

[0014] Continuous learning and optimization module to increase monitoring accuracy and reliability and improve applications and overall experience.

[0015] Optionally, the biomarkers include heart rate variability and galvanic skin response.

[0016] Optionally, the data processing and analysis module includes: a real-time data analysis unit and a historical data comparison unit.

[0017] Optionally, the real-time data analysis unit uses edge computing to process real-time data and applies a machine learning algorithm to predict pain status.

[0018] Optionally, the historical data comparison unit is used to analyze historical data, identify patterns and trends, and evaluate changes in patient status.

[0019] Optionally, the feedback module includes a mobile application unit and a real-time feedback unit;

[0020] The mobile application unit is used to design an intuitive application interface for patients, allowing them to input subjective pain information and analyze it in combination with physiological data;

[0021] The real-time feedback unit is used to provide personalized pain relief suggestions based on the monitoring data.

[0022] Optionally, the medical professional support module includes a data sharing platform and an intelligent reminder unit;

[0023] The data sharing platform is used to share monitoring data with doctors in real time, facilitating remote tracking of patient conditions;

[0024] The intelligent reminder unit is used to automatically send an alarm to medical staff when the system detects an abnormal pain pattern so that timely intervention can be provided.

[0025] Optionally, the continuous learning and optimization module includes a machine learning optimization unit and a user feedback integration unit;

[0026] The machine learning optimization unit is used to continuously train and optimize the model using the collected data to improve the accuracy and reliability of monitoring;

[0027] The user feedback integration unit is used to collect feedback information from patients and medical staff to improve the application and the overall experience.

[0028] Optionally, the subjective pain information includes an analog pain score and a pain location.

[0029] Optionally, the pain relief suggestions include relaxation techniques, psychological counseling, and breathing exercises.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] The real-time pain monitoring and feedback system provided by the present invention can monitor the patient's physiological data and pain status in real time and promptly identify changes or abnormalities in pain. This rapid response helps to more effectively intervene and manage pain.

[0032] Dynamic adjustment: Based on real-time data, treatment plans or recommendations can be quickly adjusted to improve pain relief effects.

[0033] Personalized feedback: The system can provide tailored management suggestions based on individual pain patterns and physiological characteristics, enhancing patient engagement and satisfaction.

[0034] Historical data analysis: The system can use historical data to identify individual pain triggers, thereby providing more targeted response strategies.

[0035] Data integration: By integrating physiological data, environmental data and patient-reported pain scores, it provides a more comprehensive analysis of the patient's condition and assists medical staff in formulating more scientific treatment plans.

[0036] Intelligent early warning mechanism: When abnormal pain patterns are detected, the system can automatically send an early warning to medical staff to improve the timeliness of intervention.

[0037] Education and Support: Provide educational resources and health information through the app to help patients better understand their condition and pain management methods.

[0038] Self-monitoring: Patients can track their own health through the app, increasing their sense of control and responsibility for their own pain management.

[0039] Real-time data sharing: Medical staff can access patients’ pain data in real time, improving information transparency between doctors and patients and helping to promote deeper communication.

[0040] Goal tracking: Real-time data makes it easier for providers and patients to share health goals and adjust them over time to ensure desired outcomes are achieved.

[0041] Reduced healthcare costs: By identifying and treating pain issues earlier, the need for emergency room visits and hospitalizations is reduced, thereby reducing overall healthcare costs.

[0042] Improve treatment efficiency: The system can optimize patients’ follow-up and treatment plans and improve the efficiency of medical resource utilization.

[0043] Data collection and analysis: Through the accumulation of long-term monitoring data, we can promote in-depth pain research and discover new pain management methods and biomarkers.

[0044] Clinical trial support: Provide more abundant data for clinical trials of pain management and support the development of pain treatment options.

[0045] The real-time pain monitoring and feedback system provides patients and medical staff with a more efficient, personalized and dynamic pain management method. Compared with traditional methods, this system not only improves the effectiveness of pain management, but also improves the overall medical experience and provides a foundation for future medical research and technological development. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. 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 creative labor.

[0047] Figure 1 A schematic diagram of the structure of a real-time pain monitoring and feedback system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] The object of the present invention is to provide a system capable of real-time monitoring and feedback of pain.

[0050] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0051] Embodiment 1:

[0052] This embodiment provides a real-time pain monitoring and feedback system. Figure 1 As shown, including:

[0053] Pain biomarker monitoring module, used to monitor pain-related biomarkers;

[0054] External environment monitoring module, used to collect environmental parameters and evaluate the correlation between pain and environmental parameters;

[0055] Data transmission module, used to transmit data to cloud servers and smart mobile devices in real time;

[0056] Data processing and analysis module, used for real-time data analysis;

[0057] Feedback module, used for patients to feedback pain information and provide advice to patients;

[0058] A medical professional support module for sharing monitoring data with doctors in real time to facilitate remote tracking of patient conditions;

[0059] Intelligent reminder module, which is used to automatically send an alarm to medical staff when the system detects abnormal pain patterns so that medical staff can intervene in time;

[0060] Continuous learning and optimization module to increase monitoring accuracy and reliability and improve applications and overall experience.

[0061] Furthermore, the biomarkers include heart rate variability and galvanic skin response.

[0062] Furthermore, the data processing and analysis module includes: a real-time data analysis unit and a historical data comparison unit.

[0063] Furthermore, the real-time data analysis unit uses edge computing to process real-time data and applies a machine learning algorithm to predict pain status.

[0064] Furthermore, the historical data comparison unit is used to analyze historical data, identify patterns and trends, and evaluate changes in patient status.

[0065] Further, the feedback module includes a mobile application unit and a real-time feedback unit;

[0066] The mobile application unit is used to design an intuitive application interface for patients, allowing them to input subjective pain information and analyze it in combination with physiological data;

[0067] The real-time feedback unit is used to provide personalized pain relief suggestions based on the monitoring data.

[0068] Further, the medical professional support module includes a data sharing platform and an intelligent reminder unit;

[0069] The data sharing platform is used to share monitoring data with doctors in real time, facilitating remote tracking of patient conditions;

[0070] The intelligent reminder unit is used to automatically send an alarm to medical staff when the system detects an abnormal pain pattern so that timely intervention can be provided.

[0071] Furthermore, the continuous learning and optimization module includes a machine learning optimization unit and a user feedback integration unit;

[0072] The machine learning optimization unit is used to continuously train and optimize the model using the collected data to improve the accuracy and reliability of monitoring;

[0073] The user feedback integration unit is used to collect feedback information from patients and medical staff to improve the application and the overall experience.

[0074] Furthermore, the subjective pain information includes an analog pain score and a pain location.

[0075] Furthermore, the pain relief suggestions include relaxation techniques, psychological counseling, and breathing exercises.

[0076] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0077] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A real-time pain monitoring and feedback system, characterized in that: include: Pain biomarker monitoring module, used to monitor pain-related biomarkers; External environment monitoring module, used to collect environmental parameters and evaluate the correlation between pain and environmental parameters; Data transmission module, used to transmit data to cloud servers and smart mobile devices in real time; Data processing and analysis module, used for real-time data analysis; A feedback module for patients to provide feedback on pain information and advice to patients; A medical professional support module for sharing monitoring data with doctors in real time to facilitate remote tracking of patient conditions; Intelligent reminder module, which is used to automatically send an alarm to medical staff when the system detects abnormal pain patterns so that medical staff can intervene in time; Continuous learning and optimization module to increase monitoring accuracy and reliability and improve applications and overall experience.

2. The real-time pain monitoring and feedback system according to claim 1, characterized in that: The biomarkers include heart rate variability and galvanic skin response.

3. The real-time pain monitoring and feedback system according to claim 1, characterized in that: The data processing and analysis module includes: a real-time data analysis unit and a historical data comparison unit.

4. The real-time pain monitoring and feedback system according to claim 3, characterized in that: The real-time data analysis unit uses edge computing to process real-time data and applies a machine learning algorithm to predict pain status.

5. The real-time pain monitoring and feedback system according to claim 3, characterized in that: The historical data comparison unit is used to analyze historical data, identify patterns and trends, and evaluate changes in patient status.

6. The real-time pain monitoring and feedback system according to claim 1, characterized in that: The feedback module includes a mobile application unit and a real-time feedback unit; The mobile application unit is used to design an intuitive application interface for patients, allowing them to input subjective pain information and analyze it in combination with physiological data; The real-time feedback unit is used to provide personalized pain relief suggestions based on the monitoring data.

7. The real-time pain monitoring and feedback system according to claim 1, characterized in that: The medical professional support module includes a data sharing platform and an intelligent reminder unit; The data sharing platform is used to share monitoring data with doctors in real time, facilitating remote tracking of patient conditions; The intelligent reminder unit is used to automatically send an alarm to medical staff when the system detects an abnormal pain pattern so that timely intervention can be provided.

8. The real-time pain monitoring and feedback system according to claim 1, characterized in that: The continuous learning and optimization module includes a machine learning optimization unit and a user feedback integration unit; The machine learning optimization unit is used to continuously train and optimize the model using the collected data to improve the accuracy and reliability of monitoring; The user feedback integration unit is used to collect feedback information from patients and medical staff to improve the application and the overall experience.

9. The real-time pain monitoring and feedback system according to claim 6, characterized in that: The subjective pain information includes analogue pain score and pain location.

10. The real-time pain monitoring and feedback system according to claim 6, characterized in that: The pain relief recommendations include relaxation techniques, psychological counseling, and breathing exercises.

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