EMG Sensor-Based Exoskeleton for Knee Injury Rehabilitation

Effective rehabilitation techniques are now critically important due to the rise in the number of knee surgeries performed worldwide, including total knee arthroplasty (TKA) and anterior cruciate ligament (ACL) reconstruction. This research presents a prototypical model of a lower limb exoskeleton intended to support post-surgical recovery through precise control of leg movements and targeted muscle strengthening by addressing the notable gap in patient satisfaction caused by inadequate rehabilitation. This model aims to provide adaptive assistance that aligns with the user's physiological requirements by using: Electromyography (EMG) sensors for real-time feedback on muscle activity, MG995 servo motors for actuation, and Arduino UNO for processing. The exoskeleton guarantees compatibility with human movement dynamics by combining user-centric design principles and biomechanical considerations, such as ideal joint angles and load distribution, thereby improving the safety and efficacy of rehabilitation exercises.