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CN-121987188-A - Digital multi-model state based athletic injury monitoring system and method for evaluating athletic injury

CN121987188ACN 121987188 ACN121987188 ACN 121987188ACN-121987188-A

Abstract

The invention discloses a sports injury monitoring system and a method for evaluating sports injury based on a digital multi-model state, which belong to the technical field of sports injury monitoring, wherein the sports injury monitoring system for evaluating sports injury based on the digital multi-model state comprises a sports posture detection module, a motion detection module and a motion detection module, wherein the sports posture detection module is used for detecting the sports posture of a person; the heart rate monitoring module is used for monitoring the heart rate of a person, the data transmission module is used for transmitting the data acquired by the movement gesture detection module and the heart rate monitoring module, the data analysis module is used for receiving the transmitted data and analyzing the data to judge whether movement damage exists, and the early warning module sends early warning when the data analysis module judges that the movement damage exists. The method can acquire the motion data in real time, and improves the accuracy of damage judgment by adopting multi-mode data fusion and advanced algorithm.

Inventors

  • LIU HUAIE
  • ZENG WEILIN
  • MA XIAOBO
  • FENG LIUYAN
  • Zhan Jinqin

Assignees

  • 昆明医科大学第一附属医院(云南省皮肤病医院)

Dates

Publication Date
20260508
Application Date
20260202

Claims (10)

  1. 1. Sports injury monitoring system based on digital multi-model state evaluation sports injury, characterized by comprising: The motion gesture detection module is used for detecting the motion gesture of the person; A heart rate monitoring module for monitoring a heart rate of the person; The data transmission module is used for transmitting the data acquired by the motion gesture detection module and the heart rate monitoring module; the data analysis module is used for receiving the transmitted data and analyzing the data to judge whether the sports injury exists or not; And the early warning module sends out early warning when the data analysis module judges that the sports injury exists.
  2. 2. The digital multi-modal based athletic injury monitoring system of claim 1 wherein the athletic posture detection module uses one or more of an acceleration sensor, a gyroscope, and a magnetometer, the sensor data acquisition frequency The formula is satisfied: , wherein, The motion gesture detection module can detect motion gesture parameters including motion tracks, joint angles and body gesture angles.
  3. 3. The exercise injury monitoring system based on digital multi-modal assessment of exercise injury according to claim 1, wherein the heart rate monitoring module employs a photoelectric pulse sensor, and wherein the heart rate abnormality determination is based on a formula , wherein, For a real-time heart rate, For the average heart rate, Is a constant value, and is used for the treatment of the skin, And the heart rate monitoring module carries out filtering processing on the collected heart rate data to remove noise interference.
  4. 4. The digital multi-mode based athletic injury monitoring system of claim 1, wherein the data transmission module uses one or more of Bluetooth, wi-Fi and ZigBee to ensure the transmission rate by adaptively adjusting the transmission power, channel selection and data packetization strategy in different scenarios.
  5. 5. The exercise damage monitoring system based on the digitized multi-modal assessment of exercise damage according to claim 1, wherein the data analysis module uses one or more of a decision tree algorithm, a support vector machine algorithm, and a neural network algorithm in a machine learning algorithm to perform fusion analysis on the multi-source data collected by the exercise posture detection module and the heart rate monitoring module, and determine the type and degree of exercise damage.
  6. 6. The sports injury monitoring system based on the digital multi-mode sports injury assessment according to claim 1, wherein the early warning mode of the early warning module comprises one or more of sound early warning, vibration early warning, lamplight early warning and information push early warning, the early warning threshold is set according to different sports projects, historical sports injury data of sports crowd and professional sports medical advice, and the early warning threshold can be adjusted according to actual use conditions.
  7. 7. The exercise damage monitoring system based on the digital multi-mode evaluation exercise damage according to claim 6, wherein the exercise gesture detection module, the heart rate monitoring module, the data transmission module, the data analysis module and the early warning module work cooperatively with each other, the exercise gesture detection module and the heart rate monitoring module transmit collected data to the data analysis module through the data transmission module, and after the data analysis module performs analysis processing, if the exercise damage is judged to exist, the early warning module is controlled to send out early warning so as to realize rapid and accurate monitoring of the exercise damage by the system and improve safety and exercise experience of an exercise person.
  8. 8. The athletic injury monitoring system of claim 7 which evaluates athletic injury based on digitized multi-model means, wherein: The motion gesture detection module and the heart rate monitoring module are associated to obtain a dynamic parameter, namely a motion risk coefficient, and the motion risk coefficient has the following calculation formula: Wherein: is the data of the acceleration in real time, Is the average acceleration of the vehicle and, Is the standard deviation of the acceleration; is the real-time heart rate, Is the average heart rate of the heart, Is the standard deviation of heart rate; And Is a weight coefficient, and is adjusted according to the characteristics of different sports projects and crowds so as to balance the influence of acceleration and heart rate on sports risks.
  9. 9. The athletic injury monitoring system of claim 8, wherein the athletic injury is assessed based on a digitized multi-model representation: the processing flow of the circulation module comprises: the motion gesture detection module acquires motion gesture data according to sampling frequency Generating a gesture dataset ; The data transmission module will Packaging and transmitting to a data analysis module, receiving the feedback of the previous analysis result of the data analysis module, and adjusting the transmission priority; data analysis module pair Feature extraction is carried out, and a heart rate monitoring module is triggered to acquire real-time heart rate data Generating heart rate data sets ; Data analysis module fusion And Calculating the risk coefficient of sports injury ; Early warning module contrast With the current dynamic threshold If (if) Then enter the next cycle If (1) And stopping the circulation and outputting the early warning data.
  10. 10. A method for monitoring sports injury based on digital multi-model state estimation sports injury, which is suitable for the sports injury monitoring system based on digital multi-model state estimation sports injury according to any one of claims 1-9, and comprises the following steps: Detecting the motion gesture of the person through a motion gesture detection module; Monitoring a heart rate of the person by a heart rate monitoring module; transmitting the data acquired by the motion gesture detection module and the heart rate monitoring module through a data transmission module; The data analysis module is used for receiving the transmitted data and analyzing the data to judge whether the sports injury exists or not; and when the data analysis module judges that the sports injury exists, the early warning module sends out early warning.

Description

Digital multi-model state based athletic injury monitoring system and method for evaluating athletic injury Technical Field The invention belongs to the technical field of athletic injury monitoring, and particularly relates to an athletic injury monitoring system and method based on digital multi-model state evaluation of athletic injury. Background In physical activities and daily exercise, sports injuries are a difficult problem to ignore. The risk of sports injury always exists from the intensive training of professional athletes to the daily fitness of the general public. The traditional mode for judging the sports injury mainly depends on manual observation and simple physiological parameter measurement. For example, a coach observes the action gesture of an athlete through experience to judge whether an abnormality exists or to know the basic physiological state of the athlete through simple heart rate monitoring equipment. However, this conventional approach has a number of limitations. In the aspect of sports scenes, the present sports forms are rich and various, and the requirements and the potential damage risks of different sports scenes on bodies are different from indoor body building equipment exercise to outdoor mountain climbing, riding, extreme sports and the like. The traditional judging mode is difficult to comprehensively and accurately monitor the state of a sporter under complex and changeable scenes. For example, when riding in outdoor mountain areas, the fluctuation of the terrain and the condition of the road surface can influence the posture and the stress condition of a rider, and the details are difficult to consider by traditional manual observation. From the sports crowd's perspective, the crowd's scope of participating in the motion is constantly expanding, and the age span varies greatly from teenager to the old person, physical condition and athletic ability. The type and probability of injuries occurring in exercise varies among persons of different ages and physical conditions. The traditional single judgment mode can not meet the requirements of diversified crowds, and accurate damage judgment and prevention suggestion can not be provided for individuals. In addition, with the development of sports science, higher requirements are put forward on the monitoring precision and timeliness of sports injury. The athlete needs to know his body condition in real time in training and competition so as to adjust the training intensity and the action skills in time, and the ordinary gym fan also hopes to obtain professional and scientific exercise guidance to avoid injuries caused by improper exercise. Therefore, the development of a monitoring system which can adapt to different special scenes and rapidly and accurately judge sports injury is urgent, and the monitoring system can provide powerful guarantee for the health and safety of sportsmen. Disclosure of Invention Aiming at the problems existing in the prior art, the invention provides a sports injury monitoring system based on digital multi-model state evaluation sports injury, which has the advantages of being capable of adapting to different special scenes and rapidly and accurately judging sports injury, and solves the problems of the prior art. The invention is realized in that a sports injury monitoring system based on digital multi-model state evaluation sports injury comprises: The motion gesture detection module is used for detecting the motion gesture of the person; A heart rate monitoring module for monitoring a heart rate of the person; The data transmission module is used for transmitting the data acquired by the motion gesture detection module and the heart rate monitoring module; the data analysis module is used for receiving the transmitted data and analyzing the data to judge whether the sports injury exists or not; The early warning module sends out early warning when the data analysis module judges that the sports injury exists; The system can adaptively, rapidly and accurately judge sports injury in different special scenes. As the preferable mode of the invention, the motion gesture detection module adopts one or more of an acceleration sensor, a gyroscope and a magnetometer, and the data acquisition frequency of the sensorThe formula is satisfied: , wherein, The motion gesture detection module can detect motion gesture parameters including motion tracks, joint angles and body gesture angles. As the preferable mode of the invention, the heart rate monitoring module adopts a photoelectric pulse sensor, and the heart rate abnormality judgment is based on a formula, wherein,For a real-time heart rate,For the average heart rate,Is a constant value, and is used for the treatment of the skin,And the heart rate monitoring module carries out filtering processing on the collected heart rate data to remove noise interference. The data transmission module adopts one or more transmission protocols of Bluetooth, wi-Fi