Research On Wearable Knee Impact Monitoring System For Running Sports

Among runners,the annual incidence of sports injuries is as high as 40%-50%.As the largest weight-bearing joint in the body,the knee joint is under tremendous pressure during sports and is the part of the body most prone to injury during running.The greater and repeated impact on the knee joint during running can lead to an increased risk of overuse injury.Improper sports posture,excessive intensity,and inadequate preparation can all lead to knee injuries.One of the most powerful ways to prevent and promptly treat joint sports injuries is to perform human motion monitoring.Motion monitoring provides information about the state of the joint during daily activities or sports,and provides data related to changes in joint status that can provide important references for sports training and injury treatment.Therefore,from the perspective of joint protection and injury recovery,it is necessary to continuously monitor the impact on the knee joint during running and to measure and evaluate the risk factors that may cause knee injury.The article aims to achieve accurate and continuous monitoring of knee joint movement,to measure the parameters associated with the risk of knee joint injury during running based on the relevant data of human activities,and to evaluate and remind the risk of knee joint injury based on the above parameters and the basic body shape information of runners.The main research contents are as follows:1.The knee joint force during running is analyzed based on inverse dynamics,and the vertical ground reaction force is predicted by neural network,finally the goal of real-time measurement for knee joint force is achieved and the knee joint force is quantified and analyzed.2.The peak detection algorithm and zero-velocity update technology were used to complete the measurement of the two motion parameters of stride frequency and stride amplitude during the running process.Each evaluation index shows that the above parameters have high accuracy and can be used in the risk assessment system.3.Finally,through the overall process design,page design and wearable device design of the system,the evaluation and prompting of potential risk factors that cause knee injury to runners were realized.The system provides a possibility to accurately and continuously monitor the running status and alert the potential risk factors that may cause knee injury.