A method and system for sensory feedback for emergency medical treatment training simulation garments

Abstract

The application provides a kind of first-aid treatment training simulation clothes sensing feedback method and system, it is related to sensing feedback technical field, including: when starting simulation training, the time sequence information of personnel to be trained is acquired when operating by treatment unit array, the time sequence information of label unit scheduling is acquired by label unit array;Obtain standard operation time sequence information and standard scheduling time sequence information;Process the time sequence information of personnel to be trained and standard operation time sequence information, obtain operation deviation time and abnormal operation type;Compare standard scheduling time sequence information and label unit scheduling time sequence information, obtain scheduling deviation time and abnormal prop type;Operation deviation time and abnormal operation type and scheduling deviation time and abnormal prop type are fed back to personnel to be trained client.The application solves the technical problem that traditional first-aid treatment training mainly relies on training simulation man or real person simulation, usually cannot provide real-time, accurate operation feedback, resulting in insufficient training effect.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of sensing feedback, and particularly relates to a sensing feedback method and system of an emergency treatment training simulation suit. BACKGROUND

[0002] At present, emergency skill training mainly relies on training simulation mannequins, which generally have the following types: simple simulation mannequins, which have no feedback and no data feedback for skill assessment; feedback simulation mannequins, which have general cardiopulmonary resuscitation, pupil changes, and defibrillator use data feedback, which can only meet general cardiopulmonary resuscitation training, and cannot solve the problems of real props, on-site first aid, and trauma treatment; advanced simulation mannequins, which are configured with various hospital conditions according to hospital clinical standards, generally require a dedicated classroom, have multiple vital sign feedback data, but are very expensive and inconvenient to move; and real person simulation, which can simulate various dialogues and actions, but still lacks data feedback for examination.

[0003] Overall, these training simulation mannequins cannot accurately record and analyze the operation of the students, so as to provide real-time and accurate operation feedback, especially for the complex skills and prop use involved in the emergency process, which lacks systematic evaluation, resulting in insufficient training effect. SUMMARY

[0004] The present application provides a sensing feedback method and system of an emergency treatment training simulation suit, which aims to solve the technical problem that traditional emergency treatment training mainly relies on training simulation mannequins or real person simulation, which generally cannot provide real-time and accurate operation feedback, resulting in insufficient training effect.

[0005] The first aspect of the application provides a sensing feedback method of an emergency treatment training simulation suit, which is applied to a sensing feedback system of the emergency treatment training simulation suit, the system is in communication connection with the emergency treatment training simulation suit, the emergency treatment training simulation suit comprises a treatment unit array and a label unit array, the treatment unit array is used for collecting user operation data, and the label unit array is used for identifying prop types, the method comprises the following steps: when a person to be trained starts simulation training, collecting operation time sequence information of the person to be trained by the treatment unit array, and collecting label unit scheduling time sequence information by the label unit array; obtaining standard operation time sequence information and standard scheduling time sequence information; processing the operation time sequence information of the person to be trained and the standard operation time sequence information by an operation deviation analysis model, to obtain operation deviation time and abnormal operation type; comparing the standard scheduling time sequence information and the label unit scheduling time sequence information, to obtain scheduling deviation time and abnormal prop type; feeding back the operation deviation time and the abnormal operation type, and the scheduling deviation time and the abnormal prop type to a person-to-be-trained client; and when the operation deviation time is 0 and the scheduling deviation time is 0, generating a no-deviation identification and feeding back the no-deviation identification to the person-to-be-trained client.

[0006] The second aspect of the application provides a sensing feedback system of an emergency treatment training simulation suit, which is in communication connection with the emergency treatment training simulation suit, the emergency treatment training simulation suit comprises a treatment unit array and a label unit array, the treatment unit array is used for collecting user operation data, and the label unit array is used for identifying prop types, the system is used for the sensing feedback method of the above-mentioned emergency treatment training simulation suit, and the system comprises the following modules: a time sequence information collection module, which is used for collecting operation time sequence information of a person to be trained by the treatment unit array when the person to be trained starts simulation training, and collecting label unit scheduling time sequence information by the label unit array; a standard time sequence information acquisition module, which is used for obtaining standard operation time sequence information and standard scheduling time sequence information; an operation deviation analysis module, which is used for processing the operation time sequence information of the person to be trained and the standard operation time sequence information by an operation deviation analysis model, to obtain operation deviation time and abnormal operation type; a scheduling deviation analysis module, which is used for comparing the standard scheduling time sequence information and the label unit scheduling time sequence information, to obtain scheduling deviation time and abnormal prop type; a deviation feedback module, which is used for feeding back the operation deviation time and the abnormal operation type, and the scheduling deviation time and the abnormal prop type to a person-to-be-trained client; and a deviation feedback module, which is used for generating a no-deviation identification and feeding back the no-deviation identification to the person-to-be-trained client when the operation deviation time is 0 and the scheduling deviation time is 0.

[0007] The one or more technical solutions provided in the application have at least the following technical effects or advantages:

[0008] By means of the disposal unit array and the label unit array, the operation time sequence information of the to-be-trained personnel and the label unit scheduling time sequence information are collected, which can accurately record each operation link and its time sequence, ensure that the operation data of the to-be-trained personnel and the prop information used are fed back in detail and in real time, provide comprehensive and accurate operation data and prop use data, and provide a basis for subsequent analysis; by obtaining the standard operation time sequence information and the standard scheduling time sequence information, standardized benchmark data are provided, which is used to evaluate whether the operation and prop use of the to-be-trained personnel meet the expected specifications, and lays a foundation for subsequent deviation analysis and feedback; by means of the operation deviation analysis model, the operation time sequence information of the to-be-trained personnel is compared with the standard operation time sequence information, the operation deviation time and the abnormal operation type are identified, which can identify the gap between the actual operation and the standard operation, determine the type and time of operation error, and greatly improve the efficiency and accuracy of training by means of automatic and accurate feedback, avoiding human errors; by comparing the standard scheduling time sequence information with the label unit scheduling time sequence information, the scheduling deviation time and the abnormal prop type are identified, and by comparing the prop use, accurate feedback can be provided for each prop use time, the type and time of prop use error are determined, and it is ensured that the to-be-trained personnel can effectively and correctly use the first aid equipment in the actual first aid operation; the operation deviation time, the abnormal operation type, the scheduling deviation time and the abnormal prop type are fed back to the to-be-trained personnel client, forming a closed loop of immediate learning and improvement, through immediate feedback, the trainee can immediately understand his errors and deficiencies in the first aid disposal process, and timely correct, which greatly improves the training effect.

[0009] The above description is only a summary of the technical solutions of the present application. In order to more clearly understand the technical means of the present application, the specific embodiments of the present application can be implemented in accordance with the content of the description, and in order to make the above and other purposes, characteristics and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0010] Figure 1 A sensing feedback method flowchart of a first aid disposal training simulation suit provided by an embodiment of the present application.

[0011] Figure 2 An exemplary structure diagram of a first aid disposal training simulation suit in a sensing feedback method of a first aid disposal training simulation suit provided by an embodiment of the present application.

[0012] Figure 3 A process diagram of collecting operation time sequence information of to-be-trained personnel in a sensing feedback method of a first aid disposal training simulation suit provided by an embodiment of the present application.

[0013] Figure 4A structural schematic diagram of a sensing feedback system of an emergency treatment training simulation dress provided by an embodiment of the present application.

[0014] Label explanation: timing information acquisition module 10, standard timing information acquisition module 20, operation deviation analysis module 30, scheduling deviation analysis module 40, deviation feedback module 50. DETAILED DESCRIPTION

[0015] The technical problem of the present application is to provide a sensing feedback method and system of an emergency treatment training simulation dress, which solves the technical problem that traditional emergency treatment training mainly relies on simulation of a simulation person or a real person for training, and usually cannot provide real-time and accurate operation feedback, resulting in insufficient training effect.

[0016] After introducing the basic principle of the present application, the various non-limiting embodiments of the present application will be specifically introduced below in combination with the drawings of the specification. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0017] Embodiment one, the present application provides a sensing feedback method of an emergency treatment training simulation dress, which is applied to a sensing feedback system of an emergency treatment training simulation dress, the system is in communication connection with the emergency treatment training simulation dress, the emergency treatment training simulation dress includes a treatment unit array and a label unit array, the treatment unit array is used to collect user operation data, and the label unit array is used to identify prop types. Figure 1 As shown, the method comprises:

[0018] Step S100: When the personnel to be trained start simulation training, collect the timing information of the personnel to be trained through the treatment unit array, and collect the scheduling timing information of the label unit through the label unit array;

[0019] The sensing feedback method of an emergency treatment training simulation dress provided by the present application is applied to a sensing feedback system of an emergency treatment training simulation dress, the system is in communication connection with the emergency treatment training simulation dress, the emergency treatment training simulation dress includes a treatment unit array and a label unit array, the treatment unit array is used to collect user operation data, and the label unit array is used to identify prop types.

[0020] Specifically, the core purpose of the emergency treatment training simulation dress is to provide a virtual environment for emergency training, so that the training personnel can learn and practice emergency skills through simulation operation, such as Figure 2As shown, the overall form of the first aid treatment training simulation suit is a tight-fitting garment, including a treatment unit array and a label unit array, wherein the treatment unit array is used to collect the operation data of the training personnel, for example, 21 treatment units are set up, respectively corresponding to the head, neck, left shoulder, right shoulder, left chest, right chest, left upper arm, right upper arm, left abdomen, right abdomen, left forearm, right forearm, left hand, right hand, left thigh, right thigh, left lower leg, right lower leg, left foot, right foot, back, the treatment unit can detect and record various data of the training personnel when performing first aid operation, including touch, angle, vibration, distance and other information, which will help the system to evaluate whether the operation of the training personnel meets the standard; the label unit array is used to identify the type of first aid props, each first aid prop has a label, preferably a flexible RFID label, which contains basic information about the prop, for example, 50 label units are set up respectively corresponding to gauze, bandage, neck support, pelvic fixation belt and other facilities and equipment, the system tracks and records the use of the props through the label unit array.

[0021] The whole system works cooperatively through the two arrays to collect the operation timing information of the user and the timing information of the use of the props, and then compares these information with the standard operation process through analysis, the system can identify the operation deviation and abnormality, and then feedback to the training personnel to help them improve skills and correct errors. In short, this simulation suit records and analyzes the operation process of the training personnel in real time through sensor technology, provides feedback to help the training personnel master first aid skills more efficiently.

[0022] Specifically, when the training personnel starts the simulation training, the treatment unit array and the label unit array start to collect operation and scheduling data, the treatment unit array collects and records the operation data of the training personnel in real time, including touch, vibration, angle and movement information, to obtain the operation timing information of the training personnel; the label unit array records the use of the labels, i.e. the scheduling timing information of the first aid props, especially the changes of the labels during the operation process, to obtain the scheduling timing information of the label units. All these information (including operation timing and label scheduling timing) are recorded synchronously to provide data basis for subsequent deviation analysis and feedback.

[0023] Step S200: obtaining standard operation timing information and standard scheduling timing information;

[0024] The standard operation timing information refers to the time sequence required to be followed according to the standard operation process and steps in the first aid training or first aid treatment. Generally, the standard timing information is based on medical experts or standardized first aid process design, which is used to guide the first aid personnel how to perform the operation quickly and effectively under certain circumstances, including the execution order of each first aid operation step, operation time, time interval between steps, etc.

[0025] The standard dispatch timing information refers to the use and dispatch timing of the first-aid props. The dispatch timing reflects the use order, use time, handover and replacement of the props such as first-aid kits, medicines and equipment in the first-aid process. The standard dispatch timing information is usually obtained from the pre-set prop use order in the first-aid training and the use time and frequency of various props in emergency situations.

[0026] Step S300: processing the operation timing information of the to-be-trained personnel and the standard operation timing information by operating the deviation analysis model to obtain the operation deviation time and the abnormal operation type;

[0027] The operation deviation analysis model is a model based on machine learning. The model is trained by existing labeled data to automatically identify deviations. By comparing the operation timing information of the to-be-trained personnel with the standard operation timing information through the operation deviation analysis model, the operation deviation time is obtained. The operation deviation time refers to the time when there is a deviation in the operation process, that is, the execution of the operation steps does not meet the standard time or sequence. According to the operation deviation time, the abnormal operation type at the corresponding time is extracted. The abnormal operation type refers to the operation performed by the training personnel that does not meet the standard requirements in the operation process, for example, incorrect pressing position, excessive pressing time, etc.

[0028] Step S400: comparing the standard dispatch timing information and the label unit dispatch timing information to obtain the dispatch deviation time and the abnormal prop type;

[0029] The standard dispatch timing information is compared with the label unit dispatch timing information step by step to check whether the use time and sequence of each prop are correct. For example, the standard procedure requires the use of a defibrillator after checking the respiratory condition, but the training personnel may use the device in advance or delay. When the label unit dispatch timing information is inconsistent with the standard dispatch timing information, the dispatch deviation time is marked, representing the wrong timing of prop use or the use sequence that does not meet the standard.

[0030] According to the dispatch deviation time, the abnormal prop type at the corresponding time is extracted, that is, the props used in the wrong timing or in the wrong sequence, for example, the training personnel incorrectly uses a prop that is not suitable for the current first-aid situation, or uses a prop in the wrong step.

[0031] Step S500: feeding back the operation deviation time and the abnormal operation type, and the dispatch deviation time and the abnormal prop type to the to-be-trained personnel client.

[0032] The operation deviation time and the abnormal operation type, and the scheduling deviation time and the abnormal prop type are packaged and fed back to the client of the to-be-trained personnel, and the feedback content includes: a detailed list of the operation deviation time, indicating the operation type corresponding to each deviation time; detailed information of the scheduling deviation time, indicating the use of each error time and prop. By feeding back the detailed information of the operation deviation and the scheduling deviation to the client of the to-be-trained personnel, the to-be-trained personnel can understand their mistakes and improve, thereby improving the accuracy and standardization of first aid skills.

[0033] Step S600: When the operation deviation time is 0 and the scheduling deviation time is 0, a no-deviation identifier is generated and fed back to the client of the to-be-trained personnel.

[0034] When the operation deviation time is 0 and the scheduling deviation time is 0, it means that the operation performed by the trainer in the operation process meets the standard requirements, and the timing of the prop use is correct and meets the standard use sequence. In this case, a no-deviation identifier is generated to indicate that there is no deviation, and the no-deviation identifier is fed back to the client of the to-be-trained personnel, indicating that the operation of the to-be-trained personnel is standard.

[0035] Further, any one of the treatment unit array includes a touch sensor, a first tag identification sensor, an angle sensor, a vibration sensor, and a ranging sensor, as shown in Figure 3 As shown, the treatment unit array collects the to-be-trained personnel operation time sequence information, including:

[0036] Step S110: Collecting tag unit operation time sequence information according to the first tag identification sensor;

[0037] Step S120: Collecting touch position time sequence information according to the touch sensor;

[0038] Step S130: Collecting touch angle time sequence information according to the angle sensor;

[0039] Step S140: Collecting touch vibration time sequence information according to the vibration sensor;

[0040] Step S150: Collecting touch movement distance time sequence information according to the ranging sensor;

[0041] Step S160: Adding the tag unit operation time sequence information, the touch position time sequence information, the touch angle time sequence information, the touch vibration time sequence information, and the touch movement distance time sequence information into the to-be-trained personnel operation time sequence information.

[0042] Any one of the treatment unit array includes a touch sensor, a first label recognition sensor, an angle sensor, a vibration sensor, and a ranging sensor, which are used to collect different types of operation information reflecting the multi-dimensional action data of the training personnel during the first aid operation.

[0043] Specifically, the first label recognition sensor is used to identify the label on the first aid tool and record the use time sequence of the label, helping the system track the interaction between the training personnel and the first aid tool and the use of the tool. The label unit usually has a specific electronic label, such as an RFID label or other identification label, which can be used to mark the type of each object, such as gauze, bandage, neck brace, etc. When the training personnel operates the tool, the first label recognition sensor reads the label information and records the time sequence information when the label is identified, obtaining the label unit operation time sequence information.

[0044] The touch sensor is used to detect the physical contact position of the training personnel with the simulated first aid tool. The touch sensor determines the position by detecting the contact of the finger, tool, or other object with the sensing area. For example, the hand area of the first aid simulation suit is equipped with a touch sensor that can sense when and where contact occurs. Through the touch sensor, touch position time sequence information is collected, and based on this time sequence information, it can be evaluated whether the first aid operation, such as pressing, administering medicine, using tools, etc., is performed at the correct time and in the correct position.

[0045] The angle sensor is used to detect and record the angle change of the training personnel during the operation, especially the angle control when using the first aid tool (such as cardiopulmonary resuscitation pressing, tracheal intubation, etc.). The angle sensor measures the angle change of the device or the body part of the training personnel relative to a certain reference point. Typically, these sensors can be implemented through a gyroscope or an accelerometer. Through the touch sensor, touch position time sequence information is collected, and based on this time sequence information, it can be evaluated whether the operation meets the standard, such as whether the angle of hand pressing during the first aid process is appropriate and whether it meets the medical standard.

[0046] The vibration sensor is used to detect the vibration or force feedback generated during the operation, especially the vibration signal during the operation force and touch. The vibration sensor can sense the vibration signal generated by hand pressing, object collision, or other actions. These signals can reflect whether the pressing force of the training personnel is appropriate or the interaction between the first aid tool and the training environment. Through the vibration sensor, touch vibration time sequence information is collected, and the time point and intensity of the vibration signal are recorded.

[0047] Distance sensors are used to measure the distance a trainee moves while performing an operation. This information reflects the movement of tools or hands, helping to assess the accuracy and smoothness of the operation. Distance sensors can use optical, ultrasonic, or infrared technology to measure changes in the position of an object in space and then calculate the distance moved. By collecting the timing information of touch movement distance through distance sensors, it is possible to record the distance moved by hands, tools, or equipment when performing first aid operations. Through this timing information, it is possible to determine the movement of tools by trainees when performing first aid operations, such as whether they have moved too far or failed to cover the required area.

[0048] By integrating the collected timing information of tag unit operation, touch position, touch angle, touch vibration, and touch movement distance, comprehensive timing information of the operation of the trainees is obtained, which helps the system to evaluate the trainees' first aid operations and provides a basis for subsequent deviation analysis.

[0049] Furthermore, the emergency response training simulation suit also includes a second tag identification sensor, which collects tag unit scheduling timing information through a tag unit array, including:

[0050] Step S170: Collect the timing information of the tag unit scheduling of the tag unit array by the person to be trained through the second tag identification sensor.

[0051] The first aid training simulation suit also includes a second tag identification sensor. This sensor reads and identifies electronic tags on first aid equipment, recording their scheduling information. This sensor works in conjunction with a tag unit array to collect the scheduling sequence information of the tag units. Specifically, the tag units are identification tags embedded in the first aid equipment, such as RFID tags or QR codes. The second tag identification sensor can scan and identify the information of these tags, collecting the identification time of each tag—that is, when the trainee interacts with the equipment during operation—to obtain the tag unit scheduling sequence information. This information includes the time the tag was identified, the order of equipment scheduling, and the times of equipment exchange and replacement. Using this information, it is possible to assess whether the trainee operates the equipment according to the required sequence and whether there are any non-compliant equipment scheduling behaviors.

[0052] Furthermore, feeding back the timing of the operational deviation and the type of the abnormal operation, as well as the timing of the scheduling deviation and the type of the abnormal prop, to the client of the person being trained includes:

[0053] Step S510: Perform aggregate analysis on the operation deviation time and the abnormal operation type to obtain the operation deviation time domain and the abnormal operation sequence;

[0054] Step S520: Aggregative analysis is performed on the scheduling deviation time and the abnormal prop type to obtain a scheduling deviation time domain and an abnormal prop type sequence.

[0055] Step S530: The operation deviation time domain and the abnormal operation sequence, and the scheduling deviation time domain and the abnormal prop type sequence are fed back to the client of the person to be trained.

[0056] The operation deviation time refers to the time when the person to be trained deviates from the standard operation sequence during the first aid operation. First, the operation time when there is no deviation is identified, that is, the time when the length and sequence of the operation meet the standard requirements. For each deviation time, the number of adjacent operation deviation times is counted, that is, the deviation times adjacent to the deviation time. By aggregating the adjacent deviation times, the operation deviation time domain is constructed, that is, the continuous deviation in a time period or a series of operation steps. The abnormal operation type refers to the abnormal behavior of the person to be trained during the operation, such as incorrect operation sequence, improper pressing, and incorrect use of props. The abnormal operation sequence is obtained according to the operation deviation time domain.

[0057] The scheduling deviation time refers to the deviation in the time and sequence of using props by the trainer during the first aid operation. Similar to the aggregative analysis of the operation deviation, the continuous and adjacent scheduling deviations are identified, and the frequency of these deviation times is counted. For example, if the sequence of using multiple props deviates in a certain time period, these deviations will be classified into a scheduling deviation time domain. The abnormal prop type refers to the type of deviation in using props by the person to be trained, which does not meet the standard operation. The abnormal prop type sequence is obtained according to the scheduling deviation time domain.

[0058] The operation deviation time domain and the abnormal operation sequence, and the scheduling deviation time domain and the abnormal prop type sequence are packaged and fed back to the client of the person to be trained, providing detailed and accurate feedback to help the person to be trained identify and improve their first aid operation skills and improve the training effect.

[0059] Further, the aggregative analysis is performed on the operation deviation time and the abnormal operation type to obtain the operation deviation time domain and the abnormal operation sequence, including:

[0060] Step S511: Obtain the first operation non-deviation time to the Nth operation non-deviation time.

[0061] Step S512: According to the operation deviation time, count the number of first and second adjacent operation deviation times of the first operation non-deviation time.

[0062] Step S513: When the number of the first neighborhood operation deviation time points is greater than the aggregation number threshold, and the number of the second neighborhood operation deviation time points is greater than the aggregation number threshold, the first operation unbiased time point is added to the operation deviation time points.

[0063] Step S514: Until the analysis of the Nth operation unbiased time point is completed, the operation deviation time domain and the abnormal operation sequence are obtained.

[0064] The first operation unbiased time point to the Nth operation unbiased time point are identified, and N is the number of all operation unbiased time points, which are determined according to actual conditions. The operation unbiased time points refer to time points when the training personnel completely meet the standard timing requirements when performing operations, without deviation.

[0065] The first neighborhood operation deviation time point refers to the deviation time point around the first operation unbiased time point. For example, if the operation of the training personnel deviates at a certain time point, these deviation time points will be classified as the first neighborhood operation deviation time point, which is usually the nearest steps to the unbiased time point. The second neighborhood operation deviation time point refers to the deviation time point around the first neighborhood deviation time point. For example, if a certain operation step has deviation, the deviation time points farther away from it will be classified as the second neighborhood operation deviation time point. By counting the number of neighborhood operation deviation time points, it can be determined whether there is continuous and associated deviation behavior.

[0066] According to actual conditions and specific needs, a aggregation number threshold is preset. If the number of first neighborhood operation deviation time points and the number of second neighborhood operation deviation time points both exceed the aggregation number threshold, it is determined that the first operation unbiased time point and the surrounding deviation time points are associated, and it is possible that there are some error operation stages. Therefore, it is added to the operation deviation time point list. In this way, by combining the related unbiased time points and deviation time points, the accuracy of deviation analysis is further enhanced.

[0067] By analogy, the same analysis is performed on all subsequent operation unbiased time points until the analysis of the Nth operation unbiased time point is completed. Finally, the operation deviation time domain and the abnormal operation sequence are obtained. The operation deviation time domain is a time period containing multiple deviation time points, which represents which time period is a deviation frequent area in the entire operation process. By aggregating the deviation time points, it can be determined that which stage has continuous deviation when the training personnel performs first aid operation, thereby helping to identify the high-risk link that needs to be improved in the first aid operation. The abnormal operation sequence is a summary of the deviation time points and the abnormal operation types, which helps the training personnel to identify which operation steps continuously have problems and provides the direction for improvement.

[0068] Further, by operating the deviation analysis model, the operation time sequence information of the to-be-trained personnel and the standard operation time sequence information are processed to obtain operation deviation time points and abnormal operation types, including:

[0069] Step S310: The operation deviation time points are obtained by processing the operation time sequence information of the to-be-trained personnel and the standard operation time sequence information through the operation deviation analysis model.

[0070] Step S320: The abnormal operation type is extracted from the operation time sequence information of the to-be-trained personnel according to the operation deviation time points.

[0071] The operation deviation analysis model is a machine learning model based on historical data. The model learns the training data to determine which operations are normal and which operations belong to deviation. The operation deviation analysis model compares the operation time sequence information of the to-be-trained personnel with the standard operation time sequence information one by one, checks which operation step time points, sequence or execution do not conform to the standard, and when the difference between the identified operation step and the standard time sequence is identified, the operation deviation time point is output, which can be that the operation completion time of the training personnel is too early or too late, or the sequence of the execution steps is not equal.

[0072] After identifying the operation deviation time points, the specific operation content of the training personnel at these time points is obtained, such as the props used, the operation duration, the sequence of steps, etc. By comparing with the standard operation process, the abnormal operation type is extracted, for example, if the deviation time point appears in the pressing depth in the cardiac compression step, the "pressing depth abnormality" is identified as the abnormal operation type, which clearly indicates which operation steps the to-be-trained personnel do not perform according to the standard requirements.

[0073] Further, the operation deviation analysis model construction step includes:

[0074] Step S311: Collecting to-be-trained personnel operation time sequence record information, standard operation time sequence record information and operation deviation time point identification data;

[0075] Step S312: Training the operation deviation analysis model with the operation deviation time point identification data as supervision and the to-be-trained personnel operation time sequence record information and the standard operation time sequence record information as input.

[0076] The to-be-trained personnel operation time sequence record information and the standard operation time sequence record information are extracted from the historical data, and by one-by-one comparison and analysis, the deviation time points between the actual operation and the standard operation are identified to obtain the operation deviation time point identification data, which identifies which operation time points or operation steps have deviation, as a training supervision signal.

[0077] The operation deviation time point identification data is used as a label to guide the model learning. Each operation time sequence record is paired with the corresponding deviation identification to form a training data set. The input of the model is the operation time sequence record information of the trainee and the standard operation time sequence record information. The model understands the difference between the operation steps and the time sequence by analyzing the input, learns how to identify and analyze the deviation, and uses machine learning algorithms such as decision trees, support vector machines, neural networks, etc. to train the input data with the identification data. The model will continuously adjust the parameters to reduce the prediction deviation, so as to accurately identify the operation time sequence deviation in the actual training process. Through this process, the final operation deviation analysis model can evaluate the operation of the trainee and identify the deviation time point and its type from the standard operation.

[0078] In summary, the sensing feedback method of the emergency treatment training simulation suit provided by the embodiments of the present application has the following technical effects:

[0079] By means of the treatment unit array and the label unit array, the operation time sequence information of the trainee and the label unit scheduling time sequence information are collected. This process can accurately record each operation link and its time sequence, ensure that the operation data of the trainee and the prop information are fed back in detail and real time, and provide comprehensive and accurate operation data and prop use data, which provides a basis for subsequent analysis. By obtaining the standard operation time sequence information and the standard scheduling time sequence information, standardized benchmark data is provided to evaluate whether the operation and prop use of the trainee meet the expected specifications, which lays a foundation for subsequent deviation analysis and feedback. By means of the operation deviation analysis model, the operation time sequence information of the trainee is compared with the standard operation time sequence information to identify the operation deviation time point and the abnormal operation type. This process can identify the gap between the actual operation and the standard operation, determine the type and time of operation error, and greatly improve the efficiency and accuracy of training by means of automatic and accurate feedback, avoiding human errors. By comparing the standard scheduling time sequence information with the label unit scheduling time sequence information, the scheduling deviation time point and the abnormal prop type are identified. By comparing and analyzing the prop use, accurate feedback can be provided for each prop use time point to determine the type and time of prop use error, ensuring that the trainee can effectively and correctly use the emergency equipment in actual emergency operation. The operation deviation time point, abnormal operation type, scheduling deviation time point and abnormal prop type are fed back to the trainee client to form a closed loop of immediate learning and improvement. Through immediate feedback, the trainee can immediately understand his errors and deficiencies in the emergency treatment process and correct them in time. This real-time and interactive nature greatly improves the effectiveness of training.

[0080] Embodiment two, based on the same inventive concept as the sensing feedback method of the emergency treatment training simulation suit in the foregoing embodiments, such as Figure 4As shown, the embodiment of the present application provides a sensing feedback system of an emergency treatment training simulation suit, the system is in communication connection with an emergency treatment training simulation suit, the emergency treatment training simulation suit includes a treatment unit array and a label unit array, the treatment unit array is used for collecting user operation data, and the label unit array is used for identifying prop types, and the system includes:

[0081] a timing information collection module 10, used for collecting timing information of operation of a to-be-trained person through the treatment unit array and timing information of scheduling of a label unit through the label unit array when the to-be-trained person starts simulation training; a standard timing information acquisition module 20, used for obtaining standard operation timing information and standard scheduling timing information; an operation deviation analysis module 30, used for processing the timing information of operation of the to-be-trained person and the standard operation timing information through an operation deviation analysis model to obtain an operation deviation time and an abnormal operation type; a scheduling deviation analysis module 40, used for comparing the standard scheduling timing information and the timing information of scheduling of the label unit to obtain a scheduling deviation time and an abnormal prop type; a deviation feedback module 50, used for feeding back the operation deviation time and the abnormal operation type and the scheduling deviation time and the abnormal prop type to a to-be-trained person client; and a deviation feedback module 60, used for generating a no-deviation identification feedback to the to-be-trained person client when the operation deviation time is 0 and the scheduling deviation time is 0.

[0082] Further, any one of the treatment unit array includes a touch sensor, a first label identification sensor, an angle sensor, a vibration sensor and a distance sensor, and the timing information collection module 10 includes:

[0083] a first collection channel, used for collecting label unit operation timing information according to the first label identification sensor; a second collection channel, used for collecting touch position timing information according to the touch sensor; a third collection channel, used for collecting touch angle timing information according to the angle sensor; a fourth collection channel, used for collecting touch vibration timing information according to the vibration sensor; a fifth collection channel, used for collecting touch movement distance timing information according to the distance sensor; and an operation timing information acquisition channel, used for adding the label unit operation timing information, the touch position timing information, the touch angle timing information, the touch vibration timing information and the touch movement distance timing information into the timing information of operation of the to-be-trained person.

[0084] Further, the emergency treatment training simulation suit further includes a second label identification sensor, and the timing information collection module 10 further includes:

[0085] The scheduling time information collection channel is configured to collect scheduling time information of the tag units in the tag unit array by the second tag identification sensor.

[0086] Further, the deviation feedback module 50 comprises:

[0087] The aggregation analysis channel is configured to perform aggregation analysis on the operation deviation time and the abnormal operation type to obtain an operation deviation time domain and an abnormal operation sequence.

[0088] Further, the aggregation analysis channel comprises:

[0089] The deviation time obtaining node is configured to obtain a first operation deviation time to an Nth operation deviation time. The deviation time obtaining node is configured to obtain a first operation deviation time to an Nth operation deviation time. The abnormal operation sequence obtaining node is configured to obtain the operation deviation time domain and the abnormal operation sequence until the analysis of the Nth operation deviation time is completed.

[0090] Further, the operation deviation analysis module 30 comprises:

[0091] The operation deviation time obtaining channel is configured to obtain the operation deviation time by processing the operation time sequence information of the trainee and the standard operation time sequence information by using the operation deviation analysis model. The abnormal operation type extraction channel is configured to extract the abnormal operation type from the operation time sequence information of the trainee according to the operation deviation time.

[0092] Further, the operation deviation time obtaining channel comprises:

[0093] The operation data collection node is configured to collect trainee operation time sequence record information, standard operation time sequence record information and operation deviation time identification data. The model training node is configured to train the operation deviation analysis model by taking the operation deviation time identification data as supervision and taking the trainee operation time sequence record information and the standard operation time sequence record information as input.

[0094] The foregoing detailed description of the sensing feedback method of the emergency treatment training simulation suit has enabled those skilled in the art to clearly understand the sensing feedback system of the emergency treatment training simulation suit in the embodiment. Since the sensing feedback system corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant part can be referred to the method part description.

[0095] The above description of disclosed embodiments enables one skilled in the art to make or use the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein can be applied to other embodiments without departing from the spirit or scope of the application. Therefore, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method of sensory feedback for an emergency medical treatment training simulation suit, characterized in that, A sensing feedback system applied to an emergency treatment training simulation suit, the system is in communication connection with an emergency treatment training simulation suit, the emergency treatment training simulation suit includes a treatment unit array and a tag unit array, the treatment unit array is used to collect user operation data, and the tag unit array is used to identify prop types, and the method comprises: When the personnel to be trained start the simulation training, collect the operation time sequence information of the personnel to be trained through the treatment unit array, and collect the tag unit scheduling time sequence information through the tag unit array; Obtain standard operation time sequence information and standard scheduling time sequence information; Through an operation deviation analysis model, process the operation time sequence information of the personnel to be trained and the standard operation time sequence information, obtain operation deviation time points and abnormal operation types; Compare the standard scheduling time sequence information and the tag unit scheduling time sequence information to obtain scheduling deviation time points and abnormal prop types; The operation deviation time points and the abnormal operation types, and the scheduling deviation time points and the abnormal prop types are fed back to the personnel to be trained client; Wherein, feeding back the operation deviation time points and the abnormal operation types, and the scheduling deviation time points and the abnormal prop types to the personnel to be trained client comprises: Aggregate analysis is performed on the operation deviation time points and the abnormal operation types to obtain operation deviation time domain and abnormal operation sequence; Wherein, the aggregate analysis on the operation deviation time points and the abnormal operation types to obtain operation deviation time domain and abnormal operation sequence comprises: Obtain the first operation unbiased time point to the Nth operation unbiased time point; According to the operation deviation time points, the number of first neighborhood operation deviation time points and the number of second neighborhood operation deviation time points of the first operation unbiased time point are counted; When the number of first neighborhood operation deviation time points is greater than the aggregation number threshold, and the number of second neighborhood operation deviation time points is greater than the aggregation number threshold, the first operation unbiased time point is added to the operation deviation time points; Until the Nth operation unbiased time point analysis is completed, the operation deviation time domain and the abnormal operation sequence are obtained; Aggregate analysis is performed on the scheduling deviation time points and the abnormal prop types to obtain scheduling deviation time domain and abnormal prop type sequence; The operation deviation time domain and the abnormal operation sequence, and the scheduling deviation time domain and the abnormal prop type sequence are fed back to the personnel to be trained client; When the operation deviation time points are 0 and the scheduling deviation time points are 0, a bias-free identification is generated and fed back to the personnel to be trained client.

2. A sensory feedback method for a first aid treatment training simulation suit according to claim 1, characterized in that, Any one of the treatment unit array of the treatment unit array comprises a touch sensor, a first label identification sensor, an angle sensor, a vibration sensor and a distance sensor, and the operation time sequence information of the personnel to be trained is collected through the treatment unit array, comprising: According to the first label identification sensor, collect the tag unit operation time sequence information; According to the touch sensor, collect the touch position time sequence information; According to the angle sensor, collect the touch angle time sequence information; According to the vibration sensor, collect the touch vibration time sequence information; According to the distance sensor, collect the touch movement distance time sequence information; The label unit operation timing information, the touch position timing information, the touch angle timing information, the touch vibration timing information and the touch moving distance timing information are added to the to-be-trained personnel operation timing information.

3. A sensory feedback method for a first aid treatment training simulation suit according to claim 1, characterized in that, The first label identification sensor, the angle sensor, the vibration sensor and the distance measuring sensor are used to collect the label unit operation timing information, the touch position timing information, the touch angle timing information, the touch vibration timing information and the touch moving distance timing information. The second label identification sensor is used to collect the label unit scheduling timing information of the to-be-trained personnel to the label unit array.

4. A sensory feedback method for a first aid treatment training simulation suit according to claim 1, characterized in that, The operation deviation analysis model is used to process the to-be-trained personnel operation timing information and the standard operation timing information, so as to obtain the operation deviation moment and the abnormal operation type. The operation deviation analysis model is used to process the to-be-trained personnel operation timing information and the standard operation timing information, so as to obtain the operation deviation moment. The operation deviation moment is used to extract the abnormal operation type from the to-be-trained personnel operation timing information.

5. A sensory feedback method for a first aid treatment training simulation suit according to claim 4, characterized in that, The operation deviation analysis model construction step includes: The to-be-trained personnel operation timing record information, the standard operation timing record information and the operation deviation moment identification data are collected. The operation deviation analysis model is trained by taking the operation deviation moment identification data as supervision and taking the to-be-trained personnel operation timing record information and the standard operation timing record information as input.

6. A sensory feedback system for a first aid treatment training manikin, characterized in that The system is in communication connection with the first aid treatment training simulation clothes, the first aid treatment training simulation clothes includes a treatment unit array and a label unit array, the treatment unit array is used to collect user operation data, and the label unit array is used to identify prop types, and a sensing feedback method of the first aid treatment training simulation clothes in any one of claims 1-5 is implemented, and the system includes: The timing information collection module is used to collect the to-be-trained personnel operation timing information through the treatment unit array and collect the label unit scheduling timing information through the label unit array when the to-be-trained personnel starts simulation training. The standard timing information acquisition module is used to obtain standard operation timing information and standard scheduling timing information. The operation deviation analysis module is used to process the to-be-trained personnel operation timing information and the standard operation timing information through the operation deviation analysis model, so as to obtain the operation deviation moment and the abnormal operation type. The scheduling deviation analysis module is used to compare the standard scheduling timing information and the label unit scheduling timing information, so as to obtain the scheduling deviation moment and the abnormal prop type. The deviation feedback module is used to feed back the operation deviation moment and the abnormal operation type, and the scheduling deviation moment and the abnormal prop type to the to-be-trained personnel client. The deviation-free feedback module is used to generate a deviation-free identification feedback to the to-be-trained personnel client when the operation deviation moment is 0 and the scheduling deviation moment is 0.

7. A sensory feedback system for a first aid treatment training simulation suit according to claim 6, wherein, Any one of the treatment units of the treatment unit array includes a touch sensor, a first label identification sensor, an angle sensor, a vibration sensor and a distance measuring sensor, and the timing information collection module includes: The first acquisition channel is used to collect the label unit operation timing information according to the first label identification sensor. A second acquisition channel is configured to acquire touch position time sequence information according to the touch sensor; A third acquisition channel is configured to acquire touch angle time sequence information according to the angle sensor; A fourth acquisition channel is configured to acquire touch vibration time sequence information according to the vibration sensor; A fifth acquisition channel is configured to acquire touch moving distance time sequence information according to the distance sensor; An operation time sequence information acquisition channel is configured to add the tag unit operation time sequence information, the touch position time sequence information, the touch angle time sequence information, the touch vibration time sequence information and the touch moving distance time sequence information into the operation time sequence information of the person to be trained.

8. A sensory feedback system for a first aid treatment training simulation suit according to claim 6, wherein, The first tag identification sensor and the second tag identification sensor are configured to identify the tag units in the tag unit array. A dispatch time sequence information acquisition channel is configured to acquire tag unit dispatch time sequence information of the person to be trained to the tag unit array through the second tag identification sensor.

Images