Multi-sensor CPR-AED integrated assessment method capable of real-time feedback and data report

Abstract

The invention relates to the technical field of cardio-pulmonary resuscitation (CPR) and automatic external defibrillator (AED) training and assessment, in particular to a multi-sensing CPR-AED integrated assessment method capable of real-time feedback and data reporting, which comprises a model main body, a sensor array module, an action standard sensing module, a data processing module, a human-computer interaction module, a power supply module and a working mode, the model main body simulates an upper body structure of a human body and comprises a chest area used for cardio-pulmonary resuscitation (CPR) operation, an electrode plate pasting area used for electric defibrillation (AED) operation and a simulated airway structure, and the chest area is made of a high-elasticity material; data are collected through the model main body and the sensor array module, specifications are detected through the action specification sensing module, and an exercise and assessment mode is set; the other part introduces an intelligent model containing multiple types of sensors and a data processing and interaction unit aiming at traditional assessment pain points, dual modes are set, data can be acquired and analyzed to generate a report, and the assessment objectivity is technically improved through the two modes.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) training and examination, in particular to a multi-sensor CPR-AED integrated examination method with real-time feedback and data reporting. BACKGROUND

[0002] Cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) operation are key first aid skills for rescuing patients with cardiac arrest, and are widely used for training and examination of medical staff, public place staff and other groups.

[0003] Traditional examination relies on simple manikins and on-site evaluation by examiners, which has significant defects: strong subjectivity, relying on naked eye observation and hand feeling to judge key indicators such as compression depth and frequency, lacking objective quantitative standards; unable to record the entire operation process, only giving overall impression scores, making it difficult for students to identify their own shortcomings; low examination efficiency, a single examiner can only examine one student at a time, which is not suitable for large-scale certification needs; and there is a lack of effective means to examine the placement of AED electrode pads, contact quality and other operations, making it difficult to meet the needs of standardized training and examination, therefore it is necessary to propose a multi-sensor CPR-AED integrated examination method with real-time feedback and data reporting. SUMMARY

[0004] In view of the problems in the prior art, the present application provides a multi-sensor CPR-AED integrated examination method with real-time feedback and data reporting.

[0005] The technical solution adopted by the present application to solve its technical problems is: a multi-sensor CPR-AED integrated examination method with real-time feedback and data reporting, comprising a model body, a sensor array module, a motion specification sensing module, a data processing module, a human-computer interaction module, a power module and a working mode,

[0006] The model body: simulates the upper body structure of a human body, including a chest area for cardiopulmonary resuscitation (CPR) operation, an electrode pad placement area for electric defibrillation (AED) operation and a simulated airway structure, the chest area is made of high elasticity material;

[0007] The sensor array module, integrated within the model body, is used to collect core data from CPR and AED operations in real time. It includes at least a pressure-displacement composite sensor, an acceleration sensor, a pressure distribution sensor, a contact quality sensor, and an intelligent ventilation sensor module. The pressure-displacement composite sensor is located below the chest area to measure compression depth and chest recoil. The acceleration sensor is built into the chest cavity of the model body to monitor compression frequency and rhythm. The pressure distribution sensor is attached to the electrode plate placement area (right subclavian and left apical region), used to detect electrode plate placement position and compression pressure. The contact quality sensor works in conjunction with the pressure distribution sensor to detect the contact quality between the electrode plate and the model surface. The intelligent ventilation sensor module is a pressure or flow sensor installed within the simulated airway to detect the volume and duration of artificial respiration.

[0008] The motion standard perception module is used to detect the operator's motion standardization, and includes a multi-view visual capture unit and an electromyography-inertial fusion sensing band.

[0009] The data processing module is electrically connected to the sensor array module and the action specification sensing module, and has a built-in embedded microprocessor (MCU), preset algorithm, wireless communication module (Wi-Fi / Bluetooth / 4G / 5G) and memory. The data processing module is used to receive and process sensor data, determine whether the operation conforms to the standard through the preset algorithm, and realize data storage and remote transmission.

[0010] The human-computer interaction module is connected to the data processing module and includes an LCD touch screen, a speaker, and LED indicators. It is used to provide operation guidance, real-time feedback, and display of assessment results.

[0011] The power module supplies power to the entire system.

[0012] The working modes include "practice mode" and "assessment mode" as well as a module for segmentation.

[0013] Specifically, the data processing module has a built-in mode switching module that supports switching between "practice mode" and "assessment mode". In "practice mode", the human-computer interaction module provides real-time voice / visual guidance and operation correction prompts. In "assessment mode", the system silently records operation data and generates a structured assessment report after the assessment.

[0014] Specifically, the assessment report includes a compression depth curve, a compression frequency curve, a compression depth pass rate, a compression frequency compliance rate, an electrode plate placement score, an electrode contact quality score, ventilation operation data (blowing volume / duration), total operation time, and a final assessment conclusion.

[0015] Specifically, the preset algorithm includes calculation of the pressure depth qualification rate, calculation of the pressure frequency, and calculation of the comprehensive assessment score:

[0016] Formula for calculating the pass rate of pressing depth: Where R d To determine the pass rate for pressing depth, N 5-6cm N is the number of effective presses within a depth range of 5-6 cm. total Total number of presses;

[0017] Formula for calculating pressing frequency: Where F is the actual compression frequency (times / minute), T avg The average time interval (in seconds) between two consecutive presses;

[0018] The formula for calculating the comprehensive assessment score is: S = w d ×R d +w f ×R f +w e ×S e +w v ×S v Where S is the comprehensive assessment score, and w is the pass rate for pressing depth. d The weight (0.4), frequency compliance rate w f The weight (0.2) of the electrode operation score w e The weight (0.2) and ventilation operation score w v The weight (0.2), R f To measure the compliance rate of compression frequency (the percentage of compression periods that meet the standard of 100-120 compressions / minute), S e Score for electrode operation (0-100 points) v The score is based on the ventilation procedure (0-100 points).

[0019] The beneficial effects of this invention are as follows: The multi-sensor CPR-AED integrated assessment method with real-time feedback and data reporting described in this invention includes an assessment method comprising components such as a model body, a sensor array module, and a motion standard perception module. The model body simulates the upper body structure of the human body, the sensor array module collects core operational data, and the motion standard perception module detects the standardization of operations. It also includes practice and assessment modes. The latter focuses on intelligent assessment models and methods, pointing out that traditional assessments suffer from strong subjectivity and lack of full-process recording. It introduces the model's sensor array (including pressure / displacement, acceleration, etc. sensors), data processing, and human-computer interaction units. It also designs practice and assessment modes, enabling the collection, analysis, and report generation of operational data. Both aim to improve the objectivity and effectiveness of CPR-AED assessments through technological means. Attached Figure Description

[0020] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0021] Figure 1 This is a flowchart illustrating the multi-sensor CPR-AED integrated assessment method with real-time feedback and data reporting provided by the present invention. Detailed Implementation

[0022] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0023] like Figure 1 As shown, the present invention provides the following technical solution:

[0024] Example: A multi-sensor CPR-AED integrated assessment method with real-time feedback and data reporting, including a model body, sensor array module, action specification perception module, data processing module, human-computer interaction module, power supply module, and working mode.

[0025] Model body: Simulates the structure of the human upper body, including the chest area for cardiopulmonary resuscitation (CPR), the electrode plate placement area for defibrillation (AED) operation, and the simulated airway structure. The chest area is made of highly elastic material.

[0026] Sensor array module: Integrated inside the model body, used to collect core data of CPR and AED operations in real time, including at least a pressure-displacement composite sensor, an acceleration sensor, a pressure distribution sensor, a contact quality sensor, and an intelligent ventilation sensor module; the pressure-displacement composite sensor is located below the chest area to measure compression depth and chest recoil; the acceleration sensor is built into the chest cavity of the model body to monitor compression frequency and rhythm; the pressure distribution sensor is attached to the electrode plate placement area (right subclavian and left nipple lateral apical area) to detect electrode plate placement position and compression pressure; the contact quality sensor works in conjunction with the pressure distribution sensor to detect the contact quality between the electrode plate and the model surface; the intelligent ventilation sensor module is a pressure or flow sensor installed in the simulated airway to detect the volume and duration of artificial respiration;

[0027] Action standardization perception module: used to detect the operator's action standardization, including multi-view visual capture unit and electromyography-inertial fusion sensing band;

[0028] Data processing module: Electrically connected to the sensor array module and the action specification sensing module, it has a built-in embedded microprocessor (MCU), preset algorithm, wireless communication module (Wi-Fi / Bluetooth / 4G / 5G) and memory; the data processing module is used to receive and process sensor data, determine whether the operation conforms to the standard through the preset algorithm, and realize data storage and remote transmission.

[0029] Human-computer interaction module: connected to the data processing module, including an LCD touch screen, speaker and LED indicator, used to provide operation guidance, real-time feedback and display of assessment results;

[0030] Power module: Provides power to the entire system;

[0031] The working modes include "practice mode" and "assessment mode" as well as a module for segmentation.

[0032] The data processing module has a built-in mode switching module that supports switching between "practice mode" and "assessment mode". In "practice mode", the human-computer interaction module provides real-time voice / visual guidance and operation correction prompts. In "assessment mode", the system silently records operation data and generates a structured assessment report after the assessment.

[0033] The assessment report includes compression depth curve, compression frequency curve, compression depth pass rate, compression frequency compliance rate, electrode plate placement score, electrode contact quality score, ventilation operation data (blowing volume / duration), total operation time, and final assessment conclusion.

[0034] The preset algorithms include calculation of the compress depth qualification rate, calculation of the compress frequency, and calculation of the comprehensive assessment score:

[0035] Formula for calculating the pass rate of pressing depth: Where R d To determine the pass rate for pressing depth, N 5-6cm N is the number of effective presses within a depth range of 5-6 cm. total Total number of presses;

[0036] Formula for calculating pressing frequency: Where F is the actual compression frequency (times / minute), T avg The average time interval (in seconds) between two consecutive presses;

[0037] The formula for calculating the comprehensive assessment score is: S = w d ×R d +w f ×R f +w e ×S e +w v ×S v Where S is the comprehensive assessment score, and w is the pass rate for pressing depth. d The weight (0.4), frequency compliance rate w f The weight (0.2) of the electrode operation score w e The weight (0.2) and ventilation operation score w v The weight (0.2), Rf To measure the compliance rate of compression frequency (the percentage of compression periods that meet the standard of 100-120 compressions / minute), S e Score for electrode operation (0-100 points) v Score for ventilation operation (0-100 points);

[0038] When using it, the following steps are included:

[0039] S1. Preliminary preparations (equipment and data verification);

[0040] 1. Device hardware verification:

[0041] Model body inspection: Chest area compression and rebound test, after applying 50N pressure (simulating adult compression pressure), the rebound and reset time is ≤0.5 seconds (data from real-time feedback of pressure-displacement sensor), and there is no permanent deformation; the surface flatness error of the electrode plate placement area is ≤0.1mm (measured by micrometer) to ensure sensor fit;

[0042] Sensor function verification:

[0043] Pressure-displacement composite sensor: When a standard pressure is applied (approximately 38N at a depth of 5cm), the sensor output voltage value is stable at 2.5V±0.05V (error range ≤2%). Otherwise, it needs to be adjusted through the "calibration interface" of the data processing module.

[0044] Intelligent ventilation sensor module: When injecting 500ml of standard gas, the sensor will return a gas volume of 490-510ml (error ≤ ±2%). If the volume exceeds this range, the sensor membrane will be replaced.

[0045] Wireless communication module: Within a range of 100m (a common distance in assessment scenarios), the signal strength with the cloud server is ≥-70dBm (viewable via the "Network Diagnosis" interface on the touchscreen), and the packet loss rate is ≤1%, ensuring stable data synchronization;

[0046] 2. Confirmation of environmental and consumable data:

[0047] Operating space: Use a laser rangefinder to measure and ensure that the minimum distance between the operator and the model is ≥0.8m, and there are no obstructions on the left and right sides (obstructions are ≥0.5m away from the model) to avoid affecting the image acquisition of the multi-view visual capture unit (camera field of view ≥120°);

[0048] Consumable compatibility: The AED simulation electrode pads are 14cm×10cm (standard adult size). When placed on the model, the coverage area should be ≥90% (verified by the contact area data of the pressure distribution sensor). Otherwise, replace with compatible electrode pads.

[0049] Data verification standards: All verification data must meet the requirements of "error ≤ ±2%" and "functional indicators meet the standards". Otherwise, the parts must be repaired or replaced until the verification is passed before proceeding to S2.

[0050] S2, System Startup and Mode Selection (Self-Check and Identity Data Binding):

[0051] 1. System startup and module self-test:

[0052] After pressing the power switch, the system will start up within 3 seconds (the timer is displayed as a countdown on the touchscreen), and then trigger a full module self-test.

[0053] Sensor array module: The pressure-displacement sensor sends 3 test signals, and the data processing module receives and responds within ≤100ms; the accelerometer outputs an initial acceleration value ≤0.1g (at rest), otherwise it is determined that "sensor is abnormal";

[0054] Action standard perception module: After the multi-view camera (2 cameras, located 1.5m in front of the model and 1.2m to the left) is activated, the frame rate is stable at 30fps±1fps (viewable on the touch screen "Device Information" interface). The electromyography-inertial sensing band (worn on the operator's forearm) has a 100% connection success rate (Bluetooth pairing time ≤3 seconds).

[0055] Data processing module: ≥1GB of remaining storage space (approximately 50MB of data per assessment, ensuring storage for at least 20 assessments); Wireless communication module connection to the cloud response time ≤500ms.

[0056] Self-test result feedback: If all module data meets the standard, the touch screen will display "Self-test passed (100% pass rate)"; if the data of a certain module is abnormal (such as the initial value of the accelerometer being 0.3g), a pop-up window will prompt "Accelerometer fault (current value 0.3g, standard value ≤ 0.1g), please check the installation", and you need to return to S0 to troubleshoot and restart.

[0057] 2. Mode selection and identity data verification:

[0058] Practice mode: After clicking to select, the system switches to the S3 interface within 1 second, with no additional data operation;

[0059] Assessment Mode: Enter your name (e.g., "Zhang San") and ID number. The system will automatically verify that the ID number is 18 digits (data length verification). The 17th digit must be odd (male) or even (female) to conform to the ID number encoding rules. If the verification pass rate is 100%, proceed to S4. If you enter a 17-digit ID number, a pop-up window will prompt "ID number length error (currently 17 digits, standard 18 digits), please re-enter".

[0060] S3, Practice Mode Operation (Real-time Data Feedback and Verification):

[0061] 1. Module startup and boot data output:

[0062] After the sensor array module is started, the sampling rate is stable: pressure-displacement sensor 50Hz (collects depth data 50 times per second), acceleration sensor 100Hz (calculates frequency 100 times per second), intelligent ventilation sensor module 30Hz (measures air volume 30 times per second); motion standard perception module camera frame rate 30fps, electromyography sensor band sampling rate 100Hz.

[0063] Guided data output: Touch screen animation playback speed 1.5x (to ensure the operator can see the steps clearly), speaker beat prompt audio rate 120 times / minute (cycle 0.5 seconds / time, error ≤ ±1 times / minute measured by frequency meter), volume 50dB (measured with a decibel meter at a distance of 1m from the speaker), which can be adjusted to 40-60dB according to the operator's needs;

[0064] 2. Operational data collection and real-time verification feedback:

[0065] Chest compression verification:

[0066] When the operator presses to a depth of 4cm (based on data from the pressure-displacement sensor), the system immediately determines it as "unqualified," the depth bar on the touchscreen turns red (displaying "Current 4cm, standard 5-6cm"), and the speaker plays "The press is too shallow, it needs to be deepened to 5-6cm" (voice response time ≤ 0.5 seconds).

[0067] The compression frequency is 110 times per minute (calculated by the accelerometer: the interval between adjacent compressions is 0.545 seconds). The system is deemed "qualified," the depth bar turns green, and a message indicating "pressing frequency is good" is displayed.

[0068] Artificial respiration verification: When the air volume is 450ml (feedback from the intelligent ventilation sensor module), the system prompts "Insufficient air volume (currently 450ml, standard 500-600ml)"; when the air volume is 550ml and the duration is 1.5 seconds (meeting the 1-2 second standard), it is judged as "qualified" and the touch screen displays "Ventilation operation is correct";

[0069] Electrode placement verification: If the placement position deviation is 1.5cm (detected by pressure distribution sensor: the center of the right subclavian placement area is offset by 1.5cm), the corresponding area LED red light will light up, indicating "Electrode plate position error (offset 1.5cm, standard ≤1cm)"; after adjustment, if the deviation is 0.8cm, the LED green light will light up, indicating "qualified".

[0070] Action standard verification: The multi-view camera captures the operator's arm and chest angle at 80° (standard 90°), and the electromyography sensor band feedback shows that the upper arm muscle force accounts for 70% (standard core force accounts for ≥60%). The system prompts "Pressing posture deviation (arm angle 80°, standard 90°), it is recommended to adjust the vertical angle of the arm".

[0071] 3. Mode exit data processing:

[0072] Active Exit: After clicking "End Practice", the system will stop data collection within 1 second and will not store practice data (only retain the statistics of the number of times the test was passed, such as "25 times passed / 30 times total"), and will return to S2;

[0073] Timeout Exit: If there is no operation for 5 consecutive minutes (no data change from the sensor for 300 seconds), the system will automatically exit and display a pop-up window saying "No valid operation data was obtained in this exercise. It is recommended to practice again."

[0074] S4. Assessment Mode Operation (Silent Data Acquisition and Data Integrity Verification):

[0075] 1. Module startup and parameter locking:

[0076] The sampling rate of the sensor array module has been improved to: 100Hz for the pressure-displacement sensor (data acquisition interval of 10ms, ensuring the capture of every press detail), 200Hz for the accelerometer sensor (frequency calculation accuracy ≤ ±0.5 times / minute), and 50Hz for the intelligent ventilation sensor module (air volume measurement error ≤ ±10ml); the motion standard perception module camera frame rate is 60fps (capturing subtle posture changes), and the electromyography-inertial sensing band is 200Hz (force data acquisition interval of 5ms).

[0077] Human-computer interaction parameter lock: The touch screen only displays "Remaining assessment time: 5:00" (default duration 300 seconds, examiner can preset 180-600 seconds), the speaker is turned off (volume measured by decibel meter ≤10dB), and the LED indicator only lights up when the electrode pads are placed (no voice prompts) to avoid interfering with operation;

[0078] 2. Data acquisition, storage, and synchronization verification:

[0079] Real-time data acquisition: Taking a 5-minute assessment as an example, the pressure-displacement sensor collects 30,000 depth data points (100Hz×300 seconds), the accelerometer collects 60,000 frequency data points (200Hz×300 seconds), and the intelligent ventilation sensor module collects 15,000 air volume data points (50Hz×300 seconds) to ensure that data is recorded for every operation;

[0080] Local storage: Data is saved to the storage device in CSV format. The size of a single assessment file is about 60MB (including identity data, operation data, and timestamp). The storage completion time is ≤10 seconds (after the assessment). The integrity of the file (no missing fields) can be viewed through the touch screen "File Management" interface.

[0081] Cloud synchronization: Data blocks are synchronized every 10 seconds (approximately 2MB per block), with a synchronization success rate of ≥99% (according to cloud backend statistics); if communication is interrupted (e.g., signal strength drops to -85dBm), the system automatically caches unsynchronized data (maximum cache 100MB), and completes retransmission within 10 seconds after communication is restored, ensuring no data loss;

[0082] 3. Termination of Assessment and Data Verification:

[0083] Automatic Termination: After the countdown ends, the system will stop data collection within 3 seconds and trigger a data integrity check: The system will check for ≥200 compression data points (the default assessment requires at least 4 rounds of CPR, 30 compressions per round, for a total of 120 compressions, with ≥12,000 data points), ≥8 ventilation data points (2 ventilations per round, for a total of 8 ventilations), and ≥1 set of electrode placement data. If the verification pass rate is 100%, proceed to S4; if only 5,000 compression data points are collected (less than 12,000), the system will display "Compression data incomplete (currently 5,000 points, standard ≥12,000 points), reassessment required."

[0084] Manual termination: Clicking "End Assessment" will also trigger a data integrity check. If the check passes, proceed to S5; otherwise, prompt for additional operations (e.g., "Missing ventilation data, 2 artificial respirations required").

[0085] S5. Assessment Report Generation and Display (Algorithm Calculation and Data Visualization Verification):

[0086] 1. Data processing and indicator calculation:

[0087] Core metric calculation (based on S4 data collection):

[0088] Compression depth qualification rate: Assuming a total of 120 compressions, with 102 effective compressions within the 5-6cm depth range, according to the formula...

[0089] Compression frequency: The average interval between adjacent compressions is 0.52 seconds, according to the formula. (Meets the standard of 100-120 times / minute), with a frequency compliance rate of 100%;

[0090] Electrode operation score: Placement position deviation 0.6cm (pass, 60 points), contact quality score 90 points (40 points), S e =60×100%+40×90%=96 points;

[0091] Ventilation procedure score: 7 out of 8 ventilations had a volume of 500-600ml and a duration of 1-2 seconds (compliance rate 87.5%, accounting for 50 points), S v =50 × 87.5% + 50 × 87.5% = 87.5 points;

[0092] Overall score: weighted by w d =0.4, w f =0.2, w e =0.2, w v =0.2, S = 0.4×85 + 0.2×100 + 0.2×96 + 0.2×87.5 = 89.7 points (≥80 points, judged as "passing the assessment");

[0093] Data anomaly correction: If the pressure data fluctuates too much within a 10-second period (such as the depth suddenly dropping from 5cm to 2cm), the system will determine it as "misoperation data" (accounting for ≤5%), automatically remove it, and recalculate the indicators to ensure the accuracy of the results;

[0094] 2. Report visualization and data verification:

[0095] Visual charts:

[0096] The compression depth curve shows that the horizontal axis represents the assessment time (0-300 seconds) and the vertical axis represents the depth (0-8cm). The standard range of 5-6cm is marked. The curve shows that the compression depth of 120 compressions is 4.8-6.2cm (after excluding errors), which is consistent with the calculated 85% pass rate.

[0097] Electrode patch heat dissipation diagram: red area ≤ 10% (deviation area), green area ≥ 90% (correct area), matching the electrode operation score of 96;

[0098] Report data verification: When examiners view the report through the cloud terminal, they can compare the consistency between the locally stored data and the cloud data (same MD5 value) to ensure that the report has not been tampered with and the data is 100% reliable;

[0099] 3. Report export and data sharing:

[0100] Local export: After inserting the USB flash drive, the report export time is ≤5 seconds (PDF file size is about 2MB). The exported file is named "Zhang San-110101********1234-20240520-Assessment Report.pdf" (including identity and time information). There are no format errors after opening.

[0101] QR code sharing: The QR code is valid for 30 minutes (countdown display). You will get the report within 1 second after scanning the code. It supports downloading to your mobile phone (download speed ≥1MB / s, depending on the network). The sharing success rate is ≥98%.

[0102] Final data verification: The error between the calculated results of all indicators in the report and the original data is ≤ ±1%, the visualization charts are consistent with the statistical data, and the data is not damaged during the export / sharing process, ensuring that the assessment results are objective and traceable.

[0103] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of protection claimed by the present invention. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-sensor CPR-AED integrated assessment method with real-time feedback and data reporting, comprising a model body, sensor array module, action specification perception module, data processing module, human-computer interaction module, power supply module, and working mode, characterized in that: The main body of the model simulates the structure of the human upper body, including a chest area for cardiopulmonary resuscitation, an electrode plate placement area for defibrillation, and a simulated airway structure. The chest area is made of a highly elastic material. The sensor array module, integrated within the model body, is used to collect core data from CPR and AED operations in real time. It includes at least a pressure-displacement composite sensor, an acceleration sensor, a pressure distribution sensor, a contact quality sensor, and an intelligent ventilation sensor module. The pressure-displacement composite sensor is located below the chest area to measure compression depth and chest recoil. The acceleration sensor is built into the chest cavity of the model body to monitor compression frequency and rhythm. The pressure distribution sensor is attached to the electrode plate placement area to detect the electrode plate placement position and compression pressure. The contact quality sensor works in conjunction with the pressure distribution sensor to detect the contact quality between the electrode plate and the model surface. The intelligent ventilation sensor module is a pressure or flow sensor installed within the simulated airway to detect the volume and duration of artificial respiration. The motion standard perception module is used to detect the operator's motion standardization, and includes a multi-view visual capture unit and an electromyography-inertial fusion sensing band. The data processing module is electrically connected to the sensor array module and the action specification sensing module, and has a built-in embedded microprocessor, preset algorithm, wireless communication module and memory. The data processing module is used to receive and process sensor data, determine whether the operation conforms to the standard through the preset algorithm, and realize data storage and remote transmission. The human-computer interaction module is connected to the data processing module and includes an LCD touch screen, a speaker, and LED indicators. It is used to provide operation guidance, real-time feedback, and display of assessment results. The power module supplies power to the entire system. The working modes include "practice mode" and "assessment mode" as well as a module for segmentation.

2. The multi-sensor CPR-AED integrated assessment method with real-time feedback and data reporting as described in claim 1, characterized in that: The data processing module has a built-in mode switching module that supports switching between "practice mode" and "assessment mode". In "practice mode", the human-computer interaction module provides real-time voice / visual guidance and operation correction prompts. In "assessment mode", the system silently records operation data and generates a structured assessment report after the assessment.

3. The multi-sensor CPR-AED integrated assessment method with real-time feedback and data reporting as described in claim 2, characterized in that: The assessment report includes a compression depth curve, a compression frequency curve, a compression depth pass rate, a compression frequency compliance rate, an electrode plate placement score, an electrode contact quality score, ventilation operation data, total operation time, and a final assessment conclusion.

4. The multi-sensor CPR-AED integrated assessment method with real-time feedback and data reporting as described in claim 1, characterized in that: The preset algorithm includes calculation of the compress depth pass rate, calculation of the compress frequency, and calculation of the comprehensive assessment score: Formula for calculating the pass rate of pressing depth: Where R d To determine the pass rate for pressing depth, N 5-6cm N is the number of effective presses within a depth range of 5-6 cm. total Total number of presses; Formula for calculating pressing frequency: Where F is the actual pressing frequency, and T avg The average time interval between two consecutive presses; The formula for calculating the comprehensive assessment score is: S = w d ×R d +w f ×R f +w e ×S e +w v ×S v Where S is the comprehensive assessment score, and w is the pass rate for pressing depth. d The weight (0.4), frequency compliance rate w f The weight (0.2) of the electrode operation score w e The weight (0.2) and ventilation operation score w v The weight (0.2), R f To ensure compliance with the pressing frequency, S e S is the score for electrode operation. v The score is based on the ventilation procedure.

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