A multi-scene adaptive intelligent wearable man-machine collaborative emergency intervention method

Abstract

This invention relates to a multi-scenario adaptive intelligent wearable human-machine collaborative emergency intervention method, belonging to the field of intelligent wearable emergency medical technology. It addresses the problems of fragmented monitoring and treatment chains for hypoxia, pain, and stress in emergency scenarios, as well as the lack of closed-loop correction mechanisms after intervention. The invention collects blood oxygen, circulation, electromyography, skin conductance, and posture parameters through wearable devices; determines hypoxia risk values, pain indices, and stress indices; uses a joint decision-making model to prioritize oxygen administration, physical therapy, and transdermal drug delivery interventions based on the principle of life support priority; executes interventions and performs closed-loop corrections based on parameter changes before and after intervention, enabling unified assessment and tiered collaborative treatment of emergency states. This method is applicable to emergency medical care, disaster relief, and field operations.

Description

Technical Field

[0001] This invention belongs to the field of intelligent wearable emergency medical technology, specifically involving multi-scenario adaptive intelligent wearable human-machine collaborative emergency intervention technology. Background Technology

[0002] Current emergency medical equipment is developing towards miniaturization, wearability, and intelligence. Related technologies can continuously collect physiological or behavioral information such as blood oxygenation, heart rate, and movement posture through devices like wristbands and patches, and use the monitoring results for risk identification, pain assessment, or treatment assistance. Existing technologies include solutions for monitoring and classifying the condition of injured or sick personnel based on wearable devices, as well as solutions that quantify pain levels using multiple physiological signals to provide a basis for subsequent pain management. This indicates that wearable monitoring combined with condition assessment has become an important development trend in this field.

[0003] Meanwhile, while existing technologies can address some issues in vital sign monitoring, pain assessment, local treatment, or remote management, most still focus on a single objective. For example, some solutions emphasize monitoring and providing early warnings for parameters such as blood oxygen and heart rate, others focus on quantifying pain based on physiological signals, and still others focus on closed-loop drug delivery or adjustment of treatment parameters. Regarding pain management, closed-loop drug delivery, and remote treatment management, existing systems typically focus on a specific physiological state or treatment pathway, lacking unified modeling and coordinated handling of hypoxia, pain, and stress states in emergency scenarios.

[0004] In scenarios such as emergency medical care, disaster relief, and field operations, users often face a combination of conditions including hypoxia, traumatic pain, and severe stress. However, existing technologies generally suffer from problems such as fragmented equipment, disjointed functions, and broken treatment chains. For example, blood oxygen monitoring and oxygen supply equipment are often set up independently; pain intervention relies heavily on subjective human judgment followed by physical relief or medication; and there is a lack of intervention mechanisms linking stress states, especially the risk of insomnia, with life support and pain management. This makes it difficult to balance the timing, priority, and intensity of interventions during on-site treatment. For emergency scenarios requiring rapid response, this modular monitoring and step-by-step approach struggles to adapt to the dynamic changes in the user's condition.

[0005] Furthermore, existing technologies have shortcomings in utilizing post-intervention feedback. While some protocols can monitor, assess, or administer medication, they often lack a closed-loop mechanism for maintaining, adjusting, or terminating the intervention based on changes in post-intervention parameters. They also lack a technical pathway for unified priority control of oxygen administration, physical intervention, and transdermal drug delivery. Especially when hypoxia risk and pain coexist, if the intervention sequence is not determined first based on the principle of prioritizing life support, and then dynamically adjusted according to changes in risk values, pain indices, and stress indices before and after the intervention, problems such as unreasonable intervention sequence, untimely response, or over-reliance on human experience are likely to occur. Therefore, there is an urgent need for an intelligent wearable emergency intervention technology capable of joint decision-making based on hypoxia risk values, pain indices, and stress indices, and implementing graded coordination and feedback correction for oxygen administration, physical intervention, and transdermal drug delivery. Summary of the Invention

[0006] To address the problems in existing technologies where hypoxia, pain, and stress states in emergency scenarios are typically monitored and managed separately, making it difficult to uniformly assess multiple states, prioritize oxygen administration, physical interventions, and transdermal drug delivery interventions, and lack a closed-loop correction mechanism based on post-intervention parameter changes to maintain, adjust, or terminate the current intervention, this invention proposes the following solution: A multi-scenario adaptive intelligent wearable human-machine collaborative emergency intervention method, the method comprising: S1. Collect the user's blood oxygen and circulation parameters, electromyography parameters, electrodermal parameters, and posture parameters through wearable devices; S2. Determine the hypoxia risk value based on the blood oxygen and circulation parameters, determine the pain index based on the electromyography parameters, skin conductance parameters, and posture parameters, and determine the stress index based on the blood oxygen and circulation parameters and skin conductance parameters; S3. Input the hypoxia risk value, pain index and stress index into the joint decision-making model to determine the execution priority of oxygen administration intervention, physical intervention and transdermal drug delivery intervention; S4. Perform at least one of oxygen administration intervention, physical intervention and transdermal drug delivery intervention according to the execution priority, wherein when the hypoxia risk value reaches the preset value, oxygen administration intervention is given priority and sedation transdermal drug delivery intervention is restricted. S5. After performing at least one of the oxygenation intervention, physical intervention, and transdermal drug delivery intervention, the blood oxygen and circulation parameters, electromyography parameters, skin conductance parameters, and posture parameters are re-collected, and the current intervention is maintained, adjusted, or terminated based on the changes in parameters before and after the intervention.

[0007] Further, S2, determining the hypoxia risk value based on the blood oxygen and circulation parameters, includes: normalizing the blood oxygen and circulation parameters, and determining the hypoxia risk value based on the matching result of the normalized blood oxygen and circulation parameters with the preset hypoxia judgment conditions.

[0008] Furthermore, S2, determining the pain index based on the electromyographic parameters, electrodermal parameters, and posture parameters, includes: performing a fusion analysis on the electromyographic parameters, electrodermal parameters, and posture parameters, and determining the pain index based on the fusion analysis results.

[0009] Furthermore, the determination of the stress index based on the blood oxygen and circulation parameters and skin conductance parameters in step S2 includes: performing a correlation analysis on the blood oxygen and circulation parameters and skin conductance parameters, and determining the stress index based on the correlation analysis results.

[0010] Furthermore, the joint decision-making model described in S3 determines the execution priority according to the principle that life support takes precedence over pain relief.

[0011] Furthermore, in step S4, when the hypoxia risk value does not reach the preset value and the pain index reaches the preset pain level, physical intervention is performed first; when the decrease in pain index after physical intervention is lower than the preset threshold and continues for a preset duration, transdermal drug delivery intervention is performed.

[0012] Furthermore, the oxygen intervention described in S4 includes controlling the start-up, stop-up, and oxygen flow rate adjustment of the oxygen supply unit based on the hypoxia risk value, so as to maintain blood oxygen saturation within a preset safe range.

[0013] Furthermore, the physical intervention described in S4 includes at least one of cold compress, hot compress, and vibration intervention.

[0014] Furthermore, S5 determines the effectiveness of the intervention based on the changes in hypoxia risk value, pain index, and stress index before and after the intervention; when the corresponding state value decreases below the preset value, at least one of the following is implemented: increasing oxygen flow rate, extending the duration of physical intervention, administering transdermal supplemental drug delivery, or switching to the next higher level intervention protocol.

[0015] Based on the same inventive concept, the present invention also proposes a computer storage medium on which a computer program is stored, wherein when the computer program is executed by a processor, the method described in the present invention is implemented.

[0016] Compared with the prior art, the present invention has the following beneficial effects: This invention collects blood oxygen and circulation parameters, electromyography parameters, skin conductance parameters, and posture parameters through wearable devices, and determines hypoxia risk value, pain index, and stress index respectively, realizing a unified assessment of the user's hypoxia, pain, and stress state. Compared with the prior art of separately monitoring and judging different states, it can make a comprehensive judgment on the user's current complex state.

[0017] This invention inputs hypoxia risk value, pain index, and stress index into a joint decision-making model to determine the execution priority of oxygen administration intervention, physical intervention, and transdermal drug delivery intervention, thus achieving unified decision-making for multiple types of intervention measures. Compared with the lack of a unified treatment order for oxygen administration intervention, pain relief, and drug intervention in the prior art, this invention can reasonably determine the intervention order when multiple states coexist.

[0018] This invention achieves priority control based on hypoxia risk by prioritizing oxygen administration intervention when the hypoxia risk value reaches a preset value and restricting sedative transdermal drug delivery interventions. Compared with the prior art, which lacks a way to prioritize constraints on hypoxia, this invention can address the problem of abnormal oxygen supply when hypoxia risk occurs.

[0019] This invention achieves graded and sequential pain intervention by prioritizing physical intervention when the hypoxia risk value does not reach a preset value and the pain index reaches a preset pain level, and then performing transdermal drug delivery when the pain index decreases below a preset threshold and continues for a preset duration after physical intervention. Compared with the existing technology where pain intervention lacks a progressive relationship, this invention enables pain intervention to match the current pain state and the results of previous interventions.

[0020] This invention achieves closed-loop correction of the emergency intervention process by re-collecting relevant parameters after the intervention and maintaining, adjusting or terminating the current intervention based on the changes in parameters before and after the intervention. Compared with the existing technology that lacks the method of continuing to correct the current plan based on parameter changes after the intervention, this invention can dynamically adjust the current intervention according to changes in the user's status.

[0021] This invention features unified assessment of hypoxia, pain, and stress states; priority control of oxygen administration intervention, physical intervention, and transdermal drug delivery intervention; and closed-loop correction based on parameter changes before and after intervention. It can achieve comprehensive judgment and dynamic adjustment of the emergency intervention process when multiple states coexist, and is applicable to fields such as emergency medical care, disaster relief, and field operations. Attached Figure Description

[0022] Figure 1 This is a flowchart of the intelligent wearable human-machine collaborative emergency intervention method described in this invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Implementation Method 1 like Figure 1 As shown, a multi-scenario adaptive intelligent wearable human-machine collaborative emergency intervention method is provided, the method comprising: S1. Collect the user's blood oxygen and circulation parameters, electromyography parameters, electrodermal parameters, and posture parameters through wearable devices; S2. Determine the hypoxia risk value based on the blood oxygen and circulation parameters, determine the pain index based on the electromyography parameters, skin conductance parameters, and posture parameters, and determine the stress index based on the blood oxygen and circulation parameters and skin conductance parameters; S3. Input the hypoxia risk value, pain index and stress index into the joint decision-making model to determine the execution priority of oxygen administration intervention, physical intervention and transdermal drug delivery intervention; S4. Perform at least one of oxygen administration intervention, physical intervention and transdermal drug delivery intervention according to the execution priority, wherein when the hypoxia risk value reaches the preset value, oxygen administration intervention is given priority and sedation transdermal drug delivery intervention is restricted. S5. After performing at least one of the oxygenation intervention, physical intervention, and transdermal drug delivery intervention, the blood oxygen and circulation parameters, electromyography parameters, skin conductance parameters, and posture parameters are re-collected, and the current intervention is maintained, adjusted, or terminated based on the changes in parameters before and after the intervention.

[0025] This implementation method collects the user's blood oxygen and circulation parameters, electromyography parameters, skin conductance parameters, and posture parameters through a wearable device, and determines the hypoxia risk value, pain index, and stress index accordingly. The hypoxia risk value, pain index, and stress index are then input into a joint decision-making model to determine the execution priority of oxygenation intervention, physical intervention, and transdermal drug delivery intervention. This allows hypoxia, pain, and stress to be treated in the same intervention process. At the same time, after performing at least one of the oxygenation intervention, physical intervention, and transdermal drug delivery intervention, the relevant parameters are re-collected, and the current intervention is maintained, adjusted, or terminated based on the changes in parameters before and after the intervention. This allows the intervention process to be dynamically corrected according to changes in the user's state.

[0026] Preferably, the wearable device can adopt a wrist-worn or arm-worn structure. The wearable device integrates a data processing unit, a communication unit, and a user interaction unit, and integrates or connects to an external blood oxygen and circulation monitoring module, an electromyography monitoring module, a skin conductance monitoring module, and a posture monitoring module. The blood oxygen and circulation parameters may include blood oxygen saturation, heart rate, and pulse wave related parameters, and the posture parameters may include posture change information, tremor information, and impact information.

[0027] Further, S2, determining the hypoxia risk value based on the blood oxygen and circulation parameters, includes: normalizing the blood oxygen and circulation parameters, and determining the hypoxia risk value based on the matching result of the normalized blood oxygen and circulation parameters with the preset hypoxia judgment conditions.

[0028] This embodiment normalizes the blood oxygen and circulation parameters and determines the hypoxia risk value based on the matching result of the normalized blood oxygen and circulation parameters with the preset hypoxia judgment conditions. This can unify blood oxygen and circulation parameters of different dimensions into a comparable judgment process, so that the determination of the hypoxia risk value corresponds to the current oxygen supply status.

[0029] Preferably, the preset hypoxia determination condition in the blood oxygen and circulatory parameters can be determined by changes in blood oxygen saturation and heart rate.

[0030] Furthermore, S2, determining the pain index based on the electromyographic parameters, electrodermal parameters, and posture parameters, includes: performing a fusion analysis on the electromyographic parameters, electrodermal parameters, and posture parameters, and determining the pain index based on the fusion analysis results.

[0031] This embodiment integrates and analyzes the electromyographic parameters, skin conductance parameters, and posture parameters, and determines the pain index based on the results of the integration analysis. This enables the pain index to simultaneously reflect muscle tension, changes in skin conductance, and changes in posture, thus making the judgment of pain status not limited to a single parameter.

[0032] Preferably, the electromyographic parameters can be surface electromyographic signals of the target muscle group, the electrodermal parameters can be skin electrical activity signals, and the posture parameters can be posture change information output by the inertial measurement unit.

[0033] Furthermore, the determination of the stress index based on the blood oxygen and circulation parameters and skin conductance parameters in step S2 includes: performing a correlation analysis on the blood oxygen and circulation parameters and skin conductance parameters, and determining the stress index based on the correlation analysis results.

[0034] This embodiment performs correlation analysis on the blood oxygen and circulatory parameters and skin conductance parameters, and determines the stress index based on the correlation analysis results. It can combine changes in circulatory status with changes in skin conductance activity to characterize the stress state, so that the determination of the stress index corresponds to the user's current physiological response.

[0035] Preferably, the stress index can be determined by combining heart rate variability characteristics and changes in skin conductance.

[0036] Furthermore, the joint decision-making model described in S3 determines the execution priority according to the principle that life support takes precedence over pain relief.

[0037] This implementation method determines the execution priority by having the joint decision-making model prioritize life support over pain relief. When hypoxia and pain coexist, the state that has a more direct impact on vital signs is dealt with first, so that the execution order of oxygenation intervention, physical intervention and transdermal drug delivery intervention matches the current state.

[0038] Preferably, the joint decision-making model uses the hypoxia risk value, pain index, and stress index as joint inputs to sequentially control and conditionally constrain oxygen administration intervention, physical intervention, and transdermal drug delivery intervention, rather than triggering different interventions independently.

[0039] Furthermore, in step S4, when the hypoxia risk value does not reach the preset value and the pain index reaches the preset pain level, physical intervention is performed first; when the decrease in pain index after physical intervention is lower than the preset threshold and continues for a preset duration, transdermal drug delivery intervention is performed.

[0040] This embodiment prioritizes physical intervention when the hypoxia risk value does not reach a preset value and the pain index reaches a preset pain level, and performs transdermal drug delivery intervention when the pain index decreases below a preset threshold and continues for a preset duration after physical intervention. This allows pain intervention to have a progressive relationship of physical intervention followed by transdermal drug delivery, thereby connecting pain management with the current pain state and the results of previous interventions.

[0041] Furthermore, the oxygen intervention described in S4 includes controlling the start-up, stop-up, and oxygen flow rate adjustment of the oxygen supply unit based on the hypoxia risk value, so as to maintain blood oxygen saturation within a preset safe range.

[0042] This embodiment controls the start-up, stop-up, and oxygen flow rate adjustment of the oxygen supply unit based on the hypoxia risk value, so that the blood oxygen saturation is maintained within a preset safe range. This allows the oxygen supply process to correspond to the hypoxia risk value, thereby adjusting the oxygen supply intensity according to changes in the current state.

[0043] Preferably, the oxygen supply unit may include a nasal cannula and an oxygen generator or an oxygen storage module.

[0044] Furthermore, the physical intervention described in S4 includes at least one of cold compress, hot compress, and vibration intervention.

[0045] This embodiment limits the physical intervention to at least one of cold compress, hot compress, and vibration intervention, enabling the selection of appropriate non-pharmacological intervention methods according to different pain states, thereby adapting the implementation of physical intervention to the current pain management needs.

[0046] Preferably, the physical intervention can be performed by a semiconductor thermoelectric module and a micro vibration motor.

[0047] Furthermore, S5 determines the effectiveness of the intervention based on the changes in hypoxia risk value, pain index, and stress index before and after the intervention; when the corresponding state value decreases below the preset value, at least one of the following is implemented: increasing oxygen flow rate, extending the duration of physical intervention, administering transdermal supplemental drug delivery, or switching to the next higher level intervention protocol.

[0048] This implementation determines the effectiveness of the intervention based on the changes in hypoxia risk value, pain index, and stress index before and after the intervention. If the decrease in the corresponding state value does not reach the preset value, it can increase the oxygen flow rate, extend the duration of physical intervention, perform transdermal supplemental drug delivery, or switch to the previous level intervention plan. This allows the post-intervention state changes to continue to be fed back into the current intervention process, thereby adjusting the current intervention according to the feedback results.

[0049] Implementation Method 2 This embodiment presents a closed-loop wearable emergency medical system and method for acute trauma and stress, applicable to emergency scenarios such as first aid, disaster relief, and wilderness operations. It enables rapid identification, intelligent assessment, and closed-loop intervention for critical conditions such as hypoxia, pain, and stress-induced insomnia. The system integrates multiple sensors, an intelligent drug delivery unit, an oxygen delivery unit, and a physical intervention unit. Through artificial intelligence algorithms, it achieves multi-parameter fusion perception, quantitative assessment of pain and stress, and automatic treatment intervention, generating preliminary injury assessments and subsequent treatment suggestions, forming a complete closed loop of "perception-decision-intervention-feedback."

[0050] The system in this embodiment can be composed of an integrated wearable host, a physiological sensor network, an integrated execution module, and an AI decision-making and data processing unit. The integrated wearable host can be worn on the wrist or arm and integrates data processing, AI decision-making, communication, and user interaction functions. The physiological sensor network includes a blood oxygen and circulation monitoring module, a pain and stress monitoring module, and an environmental monitoring module. The blood oxygen and circulation monitoring module can use a pulse oximeter and a photoelectrovascular volumetric sensor to monitor SpO2 and heart rate; the pain and stress monitoring module can use surface electromyography, electroskin activity, and inertial measurement units to assess muscle tension, emotional fluctuations, and body posture; the environmental monitoring module can use temperature and humidity sensors and barometric pressure sensors to determine the impact of the environment on the human body.

[0051] The integrated execution module in this embodiment may include a micro-on-demand oxygen delivery unit, a smart transdermal drug delivery unit, and a physical intervention unit. The micro-on-demand oxygen delivery unit may consist of a nasal cannula and an oxygen generator or oxygen storage module, providing low-flow, controllable oxygen delivery at a flow rate of 2 L / min. The smart transdermal drug delivery unit may employ a patch structure containing a microneedle array, a heating element, and a drug reservoir. The patch may be pre-loaded with analgesics, sedatives, or hemostatic agents; for example, lidocaine or ketoprofen may be used as an analgesic, and dexmedetomidine as a sedative. The physical intervention unit may employ a semiconductor thermoelectric module and a micro-vibration motor to perform cold compresses, hot compresses, or vibration interventions to assist in analgesia or relaxation.

[0052] The AI ​​decision-making and data processing unit in this embodiment can run algorithms for pain assessment, stress index calculation, hypoxia risk assessment, intervention decision-making, and injury tracing. The system first enters the multimodal state perception and fusion assessment stage. For hypoxia risk assessment, it can be graded based on SpO2 and abnormal heart rate. When SpO2 is less than 94% and heart rate is abnormal, it can be judged as moderate hypoxia; when SpO2 is less than 90%, it can be judged as severe hypoxia. For pain level quantification, the pain index can be calculated based on the RMS value of surface electromyography (sEMG), skin conductance, and body posture or tremor information output by the inertial measurement unit. The pain index can be categorized into 0 to 10 levels. For example, when sEMG RMS exceeds 150% of the resting level and EDA is elevated, it can be judged as moderate pain. For stress or insomnia assessment, it can be judged based on the HF / LF ratio and EDA changes in heart rate variability. When HF / LF is less than 0.5 and EDA is elevated, it can be judged as high stress and indicates a risk of insomnia.

[0053] After completing multimodal state perception and fusion assessment, this implementation method enters the intelligent closed-loop intervention stage. For oxygen supply control, when the user is in a moderate hypoxic state, the system can remind the user to initiate oxygen supply; when the user is in a severe hypoxic state, the system can automatically initiate oxygen supply and dynamically adjust the flow rate to maintain SpO2 ≥ 95%. For transdermal drug delivery control, in pain management scenarios, when pain reaches level 5 or higher, cold compresses can be applied first as part of physical intervention; when pain reaches level 7 or higher and persists, transdermal drug delivery can be automatically performed, with a dose of 10–15 mg ketoprofen or lidocaine. In stress or insomnia management scenarios, when a high stress state occurs at night, thermoelectric cooling and audio-visual guidance can be initiated, and a small amount of sedative can be released if necessary. Throughout the automatic intervention process, the system can remind the user via tactile vibration and voice before executing the automatic intervention. The user can cancel the operation within 10 seconds via gesture or voice; gestures can be implemented using surface electromyography (SEM) recognition to ensure the safety of the automatic intervention.

[0054] After intervention, this implementation method can proceed to the injury tracing and treatment plan generation stage. The system can record the location of pain, intervention response, and vital sign curves, and combine this with impact data detected by the inertial measurement unit and user descriptions to infer the cause of injury, such as "suspected rib contusion." Based on this, the system can output a "Preliminary Assessment and Treatment Recommendations" report, which may include treatment records, subsequent in-hospital recommendations, and rehabilitation and early warning information. The treatment records may include oxygen administration, medication, and physical intervention details; subsequent in-hospital recommendations may include "recommend CT scan" and "pay attention to medication intervals"; rehabilitation and early warning information can be used to highlight key points for subsequent observation and treatment. The report can also be automatically sent to the mobile phones of rescue personnel or family members to maintain information continuity between on-site treatment and subsequent care.

[0055] The following describes this implementation method using a specific scenario: a fall during hiking in the wild. After the user falls, the system detects a high-G impact, and surface electromyography (EMG) shows a sharp increase in EMG on the left rib, with RMS at 200% of resting value, EDA spikes, and SpO2 dropping to 92%. Based on this, the system assesses the user as being in a state of moderate hypoxia, severe pain (level 8), and high stress. Subsequently, the system initiates oxygen administration, maintaining SpO2 above 95%; simultaneously, a smart drug delivery patch is applied to the left rib area, automatically releasing 15mg of ketoprofen, and initiating local cold compresses. After completing the above interventions, the system, combining the impact data, pain location, and intervention response, infers a "left rib contusion" and provides recommendations for immobilization, chest strap fixation, and seeking medical attention within 24 hours to rule out fractures. The corresponding report can be automatically sent to the mobile phones of rescue personnel or family members.

[0056] This implementation method enables integrated closed-loop management of the core emergency response chain of "hypoxia-pain-stress" and is applicable to resource-constrained environments such as the field, military, and disaster areas. Based on the overall system architecture, multimodal perception and fusion assessment methods, AI-based closed-loop intervention strategies, pain and stress quantification models, and injury tracing and treatment suggestion generation methods, this implementation method provides a complete description of the relevant technical solutions.

[0057] The above detailed description of the technical solution provided by the present invention is intended to highlight the advantages and benefits of the technical solution provided by the present invention. However, the above detailed embodiments are not intended to limit the scope of protection of the present invention. Any reasonable modifications and improvements to the present invention, recombination of embodiments, and equivalent substitutions based on the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0058] Those skilled in the art will understand that the above description is merely a preferred embodiment of the present invention, and the features described in the various embodiments and / or claims disclosed in the present invention can be combined or combined in various ways, even if such combinations or combinations are not explicitly described in the disclosure of the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle scope of the present invention should be considered to fall within the protection scope of the present invention.

[0059] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention. Clearly, those skilled in the art can make various alterations and modifications to the invention without departing from its spirit and scope. Thus, if these modifications and modifications of the invention fall within the scope of the claims and their equivalents, the invention is also intended to include these modifications and modifications.

Claims

1. A multi-scenario adaptive intelligent wearable human-machine collaborative emergency intervention method, characterized in that, The method includes: S1. Collect the user's blood oxygen and circulation parameters, electromyography parameters, electrodermal parameters, and posture parameters through wearable devices; S2. Determine the hypoxia risk value based on the blood oxygen and circulation parameters, determine the pain index based on the electromyography parameters, skin conductance parameters, and posture parameters, and determine the stress index based on the blood oxygen and circulation parameters and skin conductance parameters; S3. Input the hypoxia risk value, pain index and stress index into the joint decision-making model to determine the execution priority of oxygen administration intervention, physical intervention and transdermal drug delivery intervention; S4. Perform at least one of oxygen administration intervention, physical intervention and transdermal drug delivery intervention according to the execution priority, wherein when the hypoxia risk value reaches a preset value, oxygen administration intervention is given priority and sedation transdermal drug delivery intervention is restricted. S5. After performing at least one of the oxygenation intervention, physical intervention, and transdermal drug delivery intervention, the blood oxygen and circulation parameters, electromyography parameters, skin conductance parameters, and posture parameters are re-collected, and the current intervention is maintained, adjusted, or terminated based on the changes in parameters before and after the intervention.

2. The method according to claim 1, characterized in that, S2, which determines the hypoxia risk value based on the blood oxygen and circulation parameters, includes: normalizing the blood oxygen and circulation parameters, and determining the hypoxia risk value based on the matching result of the normalized blood oxygen and circulation parameters with the preset hypoxia judgment conditions.

3. The method according to claim 1, characterized in that, S2, which determines the pain index based on the electromyographic parameters, electrodermal parameters, and posture parameters, includes: performing a fusion analysis on the electromyographic parameters, electrodermal parameters, and posture parameters, and determining the pain index based on the fusion analysis results.

4. The method according to claim 1, characterized in that, S2, which determines the stress index based on the blood oxygen and circulation parameters and skin conductance parameters, includes: performing a correlation analysis on the blood oxygen and circulation parameters and skin conductance parameters, and determining the stress index based on the correlation analysis results.

5. The method according to claim 1, characterized in that, The joint decision-making model described in S3 determines the execution priority according to the principle that life support takes precedence over pain relief.

6. The method according to claim 1, characterized in that, S4 When the hypoxia risk value does not reach the preset value and the pain index reaches the preset pain level, physical intervention is performed first; when the pain index decreases less than the preset threshold after physical intervention and continues for a preset duration, transdermal drug delivery intervention is performed.

7. The method according to claim 1, characterized in that, The oxygen intervention described in S4 includes controlling the start-up, stop-up, and oxygen flow rate adjustment of the oxygen supply unit based on the hypoxia risk value, so as to maintain blood oxygen saturation within a preset safe range.

8. The method according to claim 1, characterized in that, The physical interventions described in S4 include at least one of cold compresses, hot compresses, and vibration interventions.

9. The method according to claim 1, characterized in that, S5 determines the effectiveness of the intervention based on the changes in hypoxia risk value, pain index, and stress index before and after the intervention; when the corresponding state value decreases below the preset value, at least one of the following is adopted: increasing oxygen flow rate, extending the duration of physical intervention, administering transdermal supplemental drug delivery, or switching to the next higher level intervention plan.

10. A computer storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 9.

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