EVALUATION OF THE EFFECTIVENESS OF SMART WEARABLE DEVICES IN PREVENTING SKELETAL MUSCLE INJURIES IN ATHLETES

Abstract

Objective: Explore the role of smart wearable devices in monitoring athletes' skeletal muscle injuries, accurately reflecting the actual sports loads borne by athletes, and effectively preventing the emergence of sports injuries. Methods: 20 male track and field middle and long-distance runners from BJ Sports University were selected as research subjects, and a sports injury rehabilitation program based on hip bridge training and PNF training was designed. The monitoring of athletes' exercise data was realized through smart wearable devices, and control and observation groups were set up to illustrate the effectiveness of smart wearable devices in preventing athletes' skeletal muscle injuries. Results: The stability of smart wearable devices in monitoring sports data is strong, and the fluctuation range of their monitoring data is around 2.31%. Compared with the observation group, the control group showed a significant increase in the EMG values of the anterior, middle and posterior deltoid muscles (P<0.05), and a very significant increase in the EMG values of the supraspinatus and infraspinatus muscles (P<0.01), while there was no significant difference in the teres minor muscles during the internal/external rotation tests at 60°/s, 90°/s, and 120°/s. The total popliteal muscle work of the control subjects increased significantly by 27.28% compared to the observation group (P<0.05), and the difference in DKV angle between the control and observation groups was significant (P<0.05). Conclusion: Smart wearable devices can realize effective monitoring of athletes' skeletal muscle injuries, enhance the effect of accurate assessment of sports injuries, and provide scientific basis for the field of sports health.