A standardized monitoring method and system for cardiopulmonary resuscitation operation process

Abstract

The present invention discloses a method and system for standardizing the monitoring of a cardiopulmonary resuscitation operation process, and the present invention relates to the technical field of cardiopulmonary resuscitation teaching. The present invention obtains compression posture angle data after an operator forms a cardiopulmonary compression posture; monitors the operator's compression posture standardization based on the operator's compression posture angle data, and determines a compression posture standardization score; then, during the operator's chest compression process, obtains the operator's pressure data on a simulated person, and monitors the operator's chest compression standardization based on the pressure data, and determines a chest compression standardization score; obtains the compression posture standardization score and the chest compression standardization score, and combines the two to determine the overall monitoring results of the operator in the cardiopulmonary resuscitation posture and the chest compression operation process. By combining deep learning skeleton point recognition with embedded pressure sensing technology, all-round and quantitative monitoring of the entire cardiopulmonary resuscitation process is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of cardiopulmonary resuscitation teaching, and in particular to a standardized monitoring method and system for cardiopulmonary resuscitation operation procedures. Background Art

[0002] Cardiopulmonary resuscitation (CPR) is a critical first aid measure for rescuing patients suffering from cardiac arrest. Its operational process includes on-site assessment, chest compressions, and artificial respiration. Numerous studies have shown that details such as the depth, frequency, and rebound quality of chest compressions, as well as the operator's position and direction of force, directly impact the success rate of resuscitation and patient survival.

[0003] The invention patent with application number CN202211438330.X provides a method and system for determining the standardization of cardiopulmonary resuscitation operation procedures; the method includes: collecting data of a simulated person during cardiopulmonary resuscitation; the data includes: compression signals and ventilation signals; preprocessing the data; extracting features from the preprocessed data; classifying and identifying the data after feature extraction; performing correlation quantitative processing on the data after classification and identification; normalizing the difference between the data after correlation quantitative processing and the index standard data; and determining whether the cardiopulmonary resuscitation operation procedure is standardized based on the normalized data.

[0004] However, during the cardiopulmonary repair process, video observation or on-site guidance mainly relies on the trainer to visually observe the operator's shoulder, arm, and waist postures. It is impossible to accurately capture the changes in multiple joint angles, and it is difficult to monitor the operator's slight deviations and posture deformation caused by fatigue during continuous compressions, which is prone to subjective bias and omissions. At the same time, the compression quality assessment is not comprehensive. Although some high-end simulators are equipped with pressure sensors to measure the compression depth, they often only focus on the peak data of a single compression. There is a lack of comprehensive analysis of the compression intensity fluctuations and the entire process of chest rebound, making it difficult to evaluate the operator's stability and rebound adequacy during long-term continuous compressions. Summary of the Invention

[0005] In view of the deficiencies in the prior art, the present invention provides a standardized monitoring method and system for cardiopulmonary resuscitation operation procedures, which solves the problems in the background art.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a standardized monitoring method and system for cardiopulmonary resuscitation operation process, comprising:

[0007] Step 1: After the operator forms a cardiopulmonary compression posture, obtain compression posture angle data;

[0008] Step 2: Monitor the operator's pressing posture standardization based on the operator's pressing posture angle data, normalize the pressing posture angle data, set weights for corresponding data in the operator's pressing posture angle data, and determine the pressing posture standardization score by establishing a pressing posture scoring model;

[0009] Step 3: Then, while the operator is performing chest compressions, obtain the operator's pressure data on the simulator and monitor the operator's chest compression compliance based on the pressure data. By analyzing all pressure peaks and all pressure valleys in the pressure fluctuation curve, determine the compression compliance assessment value and chest recoil compliance assessment value, respectively. Combine the two to determine the chest compression compliance score.

[0010] Step 4: Obtain compression posture normative scores and chest compression normative scores, and combine the two to determine the overall monitoring results of the operator in the cardiopulmonary resuscitation posture and chest compression operation process.

[0011] As a further solution of the present invention: in step one, the pressing posture angle data includes the angle between the shoulder and the trunk, the flexion and extension angle of the elbow joint, the wrist joint angle, the angle between the trunk and the vertical line, the flexion angle of the hip joint, the flexion angle of the knee joint, and the deflection angle of the shoulder, elbow and wrist plane.

[0012] As a further solution of the present invention: In step 2, the specific method of determining the standardization score of the pressing posture is:

[0013] S1: Mark the operator's pressing posture angle data, and mark the angle between shoulder and trunk, elbow flexion and extension angle, wrist angle, trunk and vertical line angle, hip flexion angle, knee flexion angle, shoulder, elbow and wrist plane deflection angle as ,in, ;

[0014] S2: Normalize the 7 data in the operator's pressing posture angle data in step S1 and map all data to interval, and finally the normalized data is ;

[0015] S3: Next, weights are set for the corresponding data in the operator's pressing posture angle data to indicate their influence on the rationality of the pressing posture. The weights are set as follows:

[0016] The operator's pressing posture angle data weights are , and the total weight of joint angle data is ; and the sum of the operator's pressing posture angle data weights is ;

[0017] S4: Establish a pressing posture scoring model, and use the following scoring function to reflect the pressing posture scoring model;

[0018] Set each data in the pressing posture angle data The reasonable range is , determine the ideal angle based on different operator body shapes , determine the pressing posture score as:

[0019]

[0020] Determine the standard score of pressing posture :

[0021] .

[0022] As a further solution of the present invention: In step 3, the specific method of determining the chest compression normative score is:

[0023] P1: Real-time recording of pressure fluctuations during chest compressions by the operator, and obtaining a pressure fluctuation curve through data preprocessing;

[0024] P2: Then obtain all the pressure peaks and pressure valleys in the pressure fluctuation curve, record each pressure peak as Yk, and each pressure valley as Uk, where 1≤k≤m, and m is the number of chest compressions performed by the operator during this operation;

[0025] P3: Determine the compression normative evaluation value by analyzing all the pressure peaks in the pressure fluctuation curve; determine the chest cavity rebound normative evaluation value by analyzing all the pressure valleys in the pressure fluctuation curve;

[0026] P4: Obtain compression normative assessment values ​​and chest recoil normative assessment values, and obtain the chest compression normative score using a weighted formula.

[0027] As a further solution of the present invention: the specific method of determining the compression normative evaluation value by analyzing all the pressure peaks in the pressure fluctuation curve diagram is:

[0028] P3a1: Obtain the standard pressure peak interval and determine whether each peak value Yk is qualified according to the standard pressure peak interval:

[0029] If G1≤Yk≤G2, it means that the pressure peak is qualified, where G1 and G2 are preset values;

[0030] Otherwise, it means that the pressure peak value is unqualified;

[0031] P3a2: Count the number of qualified peak pressures in m chest compressions and mark it as Q1;

[0032] At the same time, the qualified pressure peak value for each time is calculated by the following formula Press the standard error value:

[0033]

[0034] in, Expressed as the peak pressure of each qualified The pressure standard error value is 1≤j≤Q1;

[0035] P3a3: Get Q1 and the peak pressure of each qualified The pressure standard error value , the compression normative evaluation value is determined by the following formula:

[0036]

[0037] in, Expressed as a press normative evaluation value, 、 is the weight coefficient.

[0038] As a further solution of the present invention: the specific method of determining the chest cavity rebound normative evaluation value by analyzing all the pressure valley values ​​in the pressure fluctuation curve diagram is:

[0039] P3b1: Obtain the chest rebound pressure value of the simulator in a stable state, recorded as Wh, and determine whether each valley value Uk is qualified based on the chest rebound pressure value:

[0040] Calculate the difference between each valley value Uk and the chest rebound pressure value Wh of the simulator in a stable state, and record it as Ck. Compare Ck with the allowable difference G3:

[0041] If Ck≤G3, it means that the pressure valley value is qualified;

[0042] Otherwise, it means that the pressure valley value is unqualified;

[0043] P3b2: Count the number of qualified pressure valley values ​​in m chest compressions and mark it as Q2;

[0044] At the same time, the qualified pressure valley value each time is calculated by the following formula Determine the springback specification error value:

[0045]

[0046] in, Expressed as the qualified pressure valley value each time The springback specification error value is 1≤v≤Q2;

[0047] P3b3: Get Q2 and each qualified pressure valley value Rebound specification error value , the rebound normative evaluation value is determined by the following formula:

[0048]

[0049] in, Expressed as the rebound normative evaluation value, 、 is the weight coefficient.

[0050] As a further solution of the present invention: in the step four, the overall monitoring results of the operator in the cardiopulmonary resuscitation posture and the chest compression operation process are determined by setting corresponding weights for the compression posture normative score and the chest compression normative score and adding them together.

[0051] A standardized monitoring system for cardiopulmonary resuscitation operation procedures, comprising

[0052] A posture acquisition module is used to obtain compression posture angle data after the operator forms a cardiopulmonary compression posture;

[0053] Posture assessment module: used to monitor the operator's pressing posture standardization based on the operator's pressing posture angle data, normalize the pressing posture angle data, set weights for corresponding data in the operator's pressing posture angle data, and determine the pressing posture standardization score by establishing a pressing posture scoring model;

[0054] Pressure monitoring module: used to obtain the operator's pressure data on the simulator during chest compressions, and monitor the operator's chest compression compliance based on the pressure data. By analyzing all pressure peaks and all pressure valleys in the pressure fluctuation curve, the compression compliance assessment value and chest rebound compliance assessment value are determined respectively, and the chest compression compliance score is determined by combining the two.

[0055] Comprehensive evaluation module: used to obtain compression posture normative scores and chest compression normative scores, and combine the two to determine the overall monitoring results of the operator in cardiopulmonary resuscitation posture and chest compression operation process.

[0056] The present invention provides a standardized monitoring method and system for cardiopulmonary resuscitation procedures. Compared with the existing technology, it has the following advantages:

[0057] The present invention achieves comprehensive and quantitative monitoring of the entire cardiopulmonary resuscitation process by combining deep learning skeleton point recognition with embedded pressure sensing technology. On the one hand, automated video stream skeleton tracking can accurately and in real time collect multi-joint angle data, and convert posture deviations into comparable normative scores through normalization and weighted scoring models; on the other hand, the intrathoracic pressure sensor provides real-time feedback on compression depth and rebound quality, and finely quantifies strength indicators. This dual-modal data collection and processing method not only overcomes the subjectivity and delay of traditional manual evaluation, but also provides high-precision and timely basic data for training and assessment.

[0058] In terms of overall monitoring results assessment, this method combines the two core dimensions of posture standardization and compression quality with preset weights to create a comprehensive score, achieving a unified evaluation system that balances macro and micro perspectives, and quantitative and real-time evaluation. This comprehensive indicator clearly reflects the operator's overall performance level, facilitating standardized training and certification while also supporting personalized feedback and improvement suggestions, significantly enhancing the scientific nature, comparability, and practical effectiveness of CPR training. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The present invention will be further described below with reference to the accompanying drawings.

[0060] Figure 1 A flowchart of the steps of a standardized monitoring method for cardiopulmonary resuscitation operation process according to the present invention;

[0061] Figure 2 This is a structural framework diagram of a standard monitoring system for cardiopulmonary resuscitation operation procedures of the present invention. DETAILED DESCRIPTION

[0062] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0063] Example 1

[0064] See also Figure 1 , the present invention provides a standardized monitoring method for cardiopulmonary resuscitation operation process, including;

[0065] Step 1: After the operator forms a cardiopulmonary compression posture, obtain compression posture angle data;

[0066] The pressing posture angle data includes the angle between the shoulder and the trunk, the elbow flexion and extension angle, the wrist angle, the angle between the trunk and the vertical line, the hip flexion angle, the knee flexion angle, and the shoulder, elbow and wrist plane deflection angle;

[0067] It should be noted that using a camera to capture a video stream of the operator's posture, using a deep learning model (such as ResNet or YOLO series networks) to identify the operator's skeleton points in real time, and determining the pressing posture angle data based on the skeleton points; and using a deep learning model to identify the operator's skeleton points in real time and determine the pressing posture angle data based on the skeleton points is a prior art and will not be elaborated here;

[0068] By capturing the operator's real-time video stream through a camera and using a deep learning model to accurately identify skeletal key points, this method can seamlessly and continuously obtain multi-joint angle data, including the shoulder-torso angle, elbow flexion and extension angle, wrist angle, torso-vertical angle, hip flexion angle, knee flexion angle, and shoulder-elbow-wrist plane deflection angle. This automated data collection method not only overcomes the subjectivity and omission risks of traditional manual observation, but also provides real-time feedback on the operator's posture changes, providing high-precision and timely basic data for subsequent scoring and training guidance, significantly improving the scientific nature and reliability of cardiopulmonary resuscitation training.

[0069] Step 2: monitoring the operator's pressing posture standardization based on the operator's pressing posture angle data and determining a pressing posture standardization score;

[0070] The specific method of monitoring the operator's pressing posture standardization based on the operator's pressing posture angle data and determining the pressing posture standardization score is as follows:

[0071] S1: Mark the operator's pressing posture angle data, and mark the angle between shoulder and trunk, elbow flexion and extension angle, wrist angle, trunk and vertical line angle, hip flexion angle, knee flexion angle, shoulder, elbow and wrist plane deflection angle as ,in, ;

[0072] S2: Normalize the 7 data in the operator's pressing posture angle data in step S1 and map all data to The normalization formula for interval is as follows:

[0073]

[0074] in, Represented as the corresponding data in the operator's pressing posture angle data, , The sequence corresponds to the operator's pressing posture angle data, including the shoulder and trunk angle, elbow flexion and extension angle, wrist angle, trunk and vertical line angle, hip flexion angle, knee flexion angle, and shoulder, elbow, and wrist plane deflection angle. is the reasonable interval of the corresponding data, It is represented as the normalized result of the corresponding data in the operator's pressing posture angle data;

[0075] Finally, the normalized data is ;

[0076] It should be noted that the reasonable range is further explained as follows: The reasonable range is the angle between shoulder and torso The reasonable range can be set to 30 to 40 degrees. The specific reasonable range is set in advance by professional staff based on experience.

[0077] S3: Next, weights are set for the corresponding data in the operator's pressing posture angle data to indicate their influence on the rationality of the pressing posture. The weights are set as follows:

[0078] The operator's pressing posture angle data weights are , and the total weight of joint angle data is The weight value is set by professional staff; and the sum of the operator's pressing posture angle data weight is ; The specific value of the weight is set by professional staff;

[0079] S4: Establish a pressing posture scoring model, and use the following scoring function to reflect the pressing posture scoring model;

[0080] Set each data in the pressing posture angle data The reasonable range is , determine the ideal angle based on different operator body shapes Specific parameters are set by professionals according to the operator's body shape, and the score is determined as follows:

[0081]

[0082] Determine the standard score of pressing posture :

[0083]

[0084] The collected seven-dimensional angle data is sequentially labeled, mapped to preset reasonable intervals, and normalized. The impact of each joint on the rationality of the overall posture is quantified based on weights set by professionals. Finally, a comprehensive posture standardization score is calculated using the established scoring model. This process not only converts the operator's movements into comparable and traceable quantitative indicators, but also allows for flexible adjustment of reasonable intervals and weights to accommodate different body types, training focuses, and professional requirements. This ensures standardized scoring while taking into account individual needs, providing a precise and adjustable evaluation tool for evaluating and improving pressing postures.

[0085] Step 3: Then, during the operator's chest compression process, obtain the operator's pressure data on the simulator, monitor the operator's chest compression standardization based on the pressure data, and determine the chest compression standardization score;

[0086] It should be noted that during cardiopulmonary resuscitation, the ratio of chest compressions to artificial respiration is generally 30:2, that is, 30 chest compressions and then two breaths;

[0087] The specific method of obtaining the operator's pressure data on the simulator, monitoring the operator's chest compression standardization based on the pressure data, and determining the chest compression standardization score is as follows:

[0088] P1: Real-time recording of pressure fluctuations during chest compressions by the operator, and obtaining a pressure fluctuation curve through data preprocessing;

[0089] It should be noted that a small airbag (simulating lungs) is connected to the chest cavity of a simulated person. The airbag is filled with a fixed amount of air and connected to a pressure sensor. When the sternum presses against the airbag, the pressure change inside the airbag reflects the pressure and speed. This simple simulation of lung compliance can also be used to synchronously detect compression.

[0090] P2: Then obtain all the pressure peaks and pressure valleys in the pressure fluctuation curve, record each pressure peak as Yk, and each pressure valley as Uk, where 1≤k≤m, and m is the number of chest compressions performed by the operator during this operation;

[0091] P3: Determine the compression normative evaluation value by analyzing all the pressure peaks in the pressure fluctuation curve; determine the chest cavity rebound normative evaluation value by analyzing all the pressure valleys in the pressure fluctuation curve;

[0092] The specific method of determining the compression normative evaluation value by analyzing all the pressure peaks in the pressure fluctuation curve is as follows:

[0093] P3a1: Obtain the standard pressure peak interval and determine whether each peak value Yk is qualified according to the standard pressure peak interval:

[0094] If G1≤Yk≤G2, it means that the pressure peak is qualified, where G1 and G2 are preset values, which are set by professional staff. It also means that Yk is between the range of G1 and G2.

[0095] Otherwise, it means that the pressure peak value is unqualified;

[0096] P3a2: Count the number of qualified peak pressures in m chest compressions and mark it as Q1;

[0097] At the same time, the qualified pressure peak value for each time is calculated by the following formula Press the standard error value:

[0098]

[0099] in, Expressed as the peak pressure of each qualified The pressure standard error value is 1≤j≤Q1;

[0100] P3a3: Get Q1 and the peak pressure of each qualified The pressure standard error value , the compression normative evaluation value is determined by the following formula:

[0101]

[0102] in, Expressed as a press normative evaluation value, 、 is the weight coefficient;

[0103] The specific method of determining the chest cavity rebound normative evaluation value by analyzing all the pressure valley values ​​in the pressure fluctuation curve is:

[0104] P3b1: Obtain the chest rebound pressure value of the simulator in a stable state, recorded as Wh, and determine whether each valley value Uk is qualified based on the chest rebound pressure value:

[0105] Calculate the difference between each valley value Uk and the chest rebound pressure value Wh of the simulator in a stable state, and record it as Ck. Compare Ck with the allowable difference G3:

[0106] If Ck≤G3, it means that the pressure valley value is qualified;

[0107] Otherwise, it means that the pressure valley value is unqualified;

[0108] P3b2: Count the number of qualified pressure valley values ​​in m chest compressions and mark it as Q2;

[0109] At the same time, the qualified pressure valley value each time is calculated by the following formula Determine the springback specification error value:

[0110]

[0111] in, Expressed as the qualified pressure valley value each time The springback specification error value is 1≤v≤Q2;

[0112] P3b3: Get Q2 and each qualified pressure valley value Rebound specification error value , the rebound normative evaluation value is determined by the following formula:

[0113]

[0114] in, Expressed as the rebound normative evaluation value, 、 is the weight coefficient;

[0115] P4: Obtain compression normative evaluation values ​​and chest recoil normative evaluation values, and obtain the chest compression normative score using a weighted formula;

[0116] The specific weighting formula is: ;

[0117] Among them, Ran is the normative score for chest compression;

[0118] A high-precision pressure sensor is built into the simulated human chest cavity to capture the peak and trough pressure values ​​of each compression in real time. The pass rate and error for compression depth and force are calculated (P3a series of steps). The pass rate and error for rebound are then statistically analyzed by comparing them with the simulated human rebound pressure values ​​(P3b series of steps). Finally, a chest compression compliance score is derived based on the set weights. This method comprehensively and meticulously reflects compression depth, compression speed, and chest rebound performance. It not only ensures the compliance of compression force and frequency, but also monitors rebound adequacy in real time, thereby comprehensively improving the ability to monitor chest compression quality and providing solid data support for ensuring the effectiveness and safety of cardiopulmonary resuscitation.

[0119] Step 4: Obtain compression posture normative scores and chest compression normative scores, and combine the two to determine the overall monitoring results of the operator in the cardiopulmonary resuscitation posture and chest compression operation process;

[0120] Specifically, the standardization of pressing posture is scored and chest compression normative scoring Setting corresponding weights and adding them together to determine the overall monitoring results of the operator's cardiopulmonary resuscitation posture and chest compression operation process. The specific weights set are determined by professional staff;

[0121] The posture standardization score obtained in step two and the chest compression standardization score obtained in step three are weighted and synthesized according to preset weights to form a comprehensive "overall monitoring result of the cardiopulmonary resuscitation operation process"; this integrated evaluation indicator not only takes into account the two key dimensions of compression posture and compression force from a macro perspective, but also aggregates multiple sub-scores into a single comprehensive score that is easy to understand, greatly facilitating training evaluation, assessment and certification, and real-time guidance, enabling trainers and trainees to quickly grasp the overall operation quality and further improve the effectiveness of cardiopulmonary resuscitation training and actual combat.

[0122] Example 2

[0123] See also Figure 2 In the specific implementation process, this embodiment is based on the first embodiment and differs from the first embodiment in that this embodiment further provides a standardized monitoring system for cardiopulmonary resuscitation operation process, including:

[0124] A posture acquisition module is used to obtain compression posture angle data after the operator forms a cardiopulmonary compression posture;

[0125] Posture assessment module: used to monitor the operator's pressing posture standardization based on the operator's pressing posture angle data, normalize the pressing posture angle data, set weights for corresponding data in the operator's pressing posture angle data, and determine the pressing posture standardization score by establishing a pressing posture scoring model;

[0126] Pressure monitoring module: used to obtain the operator's pressure data on the simulator during chest compressions, and monitor the operator's chest compression compliance based on the pressure data. By analyzing all pressure peaks and all pressure valleys in the pressure fluctuation curve, the compression compliance assessment value and chest rebound compliance assessment value are determined respectively, and the chest compression compliance score is determined by combining the two.

[0127] Comprehensive evaluation module: used to obtain compression posture normative scores and chest compression normative scores, and combine the two to determine the overall monitoring results of the operator in cardiopulmonary resuscitation posture and chest compression operation process.

[0128] Example 3

[0129] The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0130] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0131] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A standardized monitoring method for cardiopulmonary resuscitation operation process, characterized in that: include: Step 1: After the operator forms a cardiopulmonary compression posture, obtain compression posture angle data; Step 2: Monitor the operator's pressing posture standardization based on the operator's pressing posture angle data, normalize the pressing posture angle data, set weights for corresponding data in the operator's pressing posture angle data, and determine the pressing posture standardization score by establishing a pressing posture scoring model; Step 3: Then, during the operator's chest compressions, obtain the operator's pressure data on the simulator, and monitor the operator's chest compression compliance based on the pressure data. By analyzing all pressure peaks and all pressure valleys in the pressure fluctuation curve, determine the compression compliance assessment value and chest rebound compliance assessment value, respectively. Combine the two to determine the chest compression compliance score. The specific content is as follows: P1: Real-time recording of pressure fluctuations during chest compressions by the operator, and obtaining a pressure fluctuation curve through data preprocessing; P2: Then obtain all the pressure peaks and pressure valleys in the pressure fluctuation curve, record each pressure peak as Yk, and each pressure valley as Uk, where 1≤k≤m, and m is the number of chest compressions performed by the operator during this operation; P3: Determine the compression normative evaluation value by analyzing all the pressure peaks in the pressure fluctuation curve; determine the chest cavity rebound normative evaluation value by analyzing all the pressure valleys in the pressure fluctuation curve; The specific content of determining the compression normative evaluation value by analyzing all the pressure peaks in the pressure fluctuation curve graph includes: P3a1: Obtain the standard pressure peak interval and determine whether each pressure peak value Yk is qualified according to the standard pressure peak interval: If G1≤Yk≤G2, it means that the pressure peak is qualified, where G1 and G2 are preset values; Otherwise, it means that the pressure peak value is unqualified; P3a2: Count the number of qualified peak pressures in m chest compressions and mark it as Q1; At the same time, the qualified pressure peak value for each time is calculated by the following formula Determine the compression tolerance value: in, Expressed as the peak pressure of each qualified The pressure standard error value is 1≤j≤Q1; P3a3: Get Q1 and the peak pressure of each qualified The pressure standard error value , the compression normative evaluation value is determined by the following formula: in, Expressed as a press normative evaluation value, 、 is the weight coefficient; The specific content of determining the chest cavity rebound normative evaluation value by analyzing all pressure valley values ​​in the pressure fluctuation curve graph includes: P3b1: Obtain the chest rebound pressure value of the simulator in a stable state, recorded as Wh, and judge whether each pressure valley value Uk is qualified based on the chest rebound pressure value: Calculate the difference between each pressure valley value Uk and the chest cavity rebound pressure value Wh of the simulator in a stable state, and record it as Ck. Compare Ck with the allowable difference G3: If Ck≤G3, it means that the pressure valley value is qualified; Otherwise, it means that the pressure valley value is unqualified; P3b2: Count the number of qualified pressure valley values ​​in m chest compressions and mark it as Q2; At the same time, the qualified pressure valley value each time is calculated by the following formula Determine the springback specification error value: in, Expressed as the qualified pressure valley value each time The springback specification error value is 1≤v≤Q2; P3b3: Get Q2 and each qualified pressure valley value Rebound specification error value , the rebound normative evaluation value is determined by the following formula: in, Expressed as the rebound normative evaluation value, 、 is the weight coefficient; P4: Obtain compression normative evaluation values ​​and chest recoil normative evaluation values, and obtain the chest compression normative score using a weighted formula; Step 4: Obtain compression posture normative scores and chest compression normative scores, and combine the two to determine the overall monitoring results of the operator in the cardiopulmonary resuscitation posture and chest compression operation process.

2. A standardized monitoring method for cardiopulmonary resuscitation operation process according to claim 1, characterized in that: In step one, the pressing posture angle data includes the angle between the shoulder and the trunk, the elbow flexion and extension angle, the wrist joint angle, the angle between the trunk and the vertical line, the hip joint flexion angle, the knee joint flexion angle, and the shoulder, elbow and wrist plane deflection angle.

3. A standardized monitoring method for cardiopulmonary resuscitation operation process according to claim 2, characterized in that: In step 2, the specific method for determining the standardization score of the pressing posture is: S1: Mark the operator's pressing posture angle data, and mark the angle between shoulder and trunk, elbow flexion and extension angle, wrist angle, trunk and vertical line angle, hip flexion angle, knee flexion angle, shoulder, elbow and wrist plane deflection angle as ; S2: Normalize the 7 data in the operator's pressing posture angle data in step S1 and map all data to interval, and finally the normalized data is ; S3: Next, weights are set for the corresponding data in the operator's pressing posture angle data to indicate their influence on the rationality of the pressing posture. The weights are set as follows: The operator's pressing posture angle data weights are , and the sum of the operator's pressing posture angle data weights is ; S4: Establish a pressing posture scoring model, and use the following scoring function to reflect the pressing posture scoring model; Set each data in the pressing posture angle data The reasonable range is , determine the ideal angle based on different operator body shapes , determine the pressing posture score as: Determine the standard score of pressing posture : 。 4. A standardized monitoring method for cardiopulmonary resuscitation operation process according to claim 1, characterized in that: In the step 4, the overall monitoring result of the operator's cardiopulmonary resuscitation posture and chest compression operation process is determined by setting corresponding weights for the compression posture normative score and the chest compression normative score and adding them together.

5. A standardized monitoring system for cardiopulmonary resuscitation operation process, implementing a standardized monitoring method for cardiopulmonary resuscitation operation process according to any one of claims 1 to 4, characterized in that: include: A posture acquisition module is used to obtain compression posture angle data after the operator forms a cardiopulmonary compression posture; Posture assessment module: used to monitor the operator's pressing posture standardization based on the operator's pressing posture angle data, normalize the pressing posture angle data, set weights for corresponding data in the operator's pressing posture angle data, and determine the pressing posture standardization score by establishing a pressing posture scoring model; Pressure monitoring module: used to obtain the operator's pressure data on the simulator during chest compressions, and monitor the operator's chest compression compliance based on the pressure data. By analyzing all pressure peaks and all pressure valleys in the pressure fluctuation curve, the compression compliance assessment value and chest rebound compliance assessment value are determined respectively, and the chest compression compliance score is determined by combining the two. Comprehensive evaluation module: used to obtain compression posture normative scores and chest compression normative scores, and combine the two to determine the overall monitoring results of the operator in cardiopulmonary resuscitation posture and chest compression operation process.

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