Abstract
Impacting millions of people globally, tendonitis leads to pain and reduces everyday work efficiency. To prevent tendonitis, detecting tendon and muscle fatigue is crucial. This study uses a portable, low-cost surface electromyography (sEMG) device and an Arduino processor to monitor subjects who are engaged in physical therapy by evaluating electromyography amplitude and frequency data. The device was successful in identifying several potential indications of muscle fatigue in testing.
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