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Cutting Edge Technolody for Injury Prevention

Low-Cost Home-Use Wearable Kit To Predict And Prevent Muscle over use Injuries

Injuries can have far-reaching and profound negative impacts, affecting both athletes and ordinary individuals. Therefore, prioritizing injury detection and prevention measures is crucial. While there are both surgical and nonsurgical treatments available for addressing injuries, medical instruments are expensive and not possible to use at home. Additionally, invasive tools require professional medical staff for operation.

Ryan Wang invented a low cost home use wearable sensor kit to detect muscle contractions and fatigue.  Through experiments, electromyography (EMG) sensors and galvanic skin-response (GSR) sensors were found capable of detecting muscle contractions and sports activity/intensity. EMG sensors have been extensively discussed in existing research as a primary method for detecting muscle fatigue. The GSR sensor, commonly used for lie-detector tests, is also capable of detecting sweat, muscle contractions, and nervousness. In this kit, the GSR sensor represents an innovative approach to utilizing it for muscle fatigue detection. The Arduino platform was employed to collect sensor data. 

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The test results show a precise correlation between the muscle contraction data and the athlete’s exercise. By analyzing the pattern of muscle contraction data, it is possible to obtain a comprehensive analysis of the player’s muscle fatigue. Compared with existing wearable sensor technology that records sport load or muscle contraction, this study demonstrates the validity of using a low-cost, easy to use at-home kit for detecting muscle fatigue and predicting injuries.

Ryan published his wearable sensor kit research result at American Association for the advancement of science (AAAS) Pacific Division Conference. The poster got the second place "Excellence Student Poster Award" out of hundreds of posters at the student poster competition. 

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