Abstract
Osteoarthritis is a prevalent ailment that affects the aged and is one of the leading causes of disability. Knee OA is caused by a number of factors, including elderly, weight, and joint injury caused by repetitive actions like squatting and kneeling. Several factors contribute to knee OA, including cytokines, leptin, and mechanical stressors. Assistive Devices can help not only with the knee pain and stiffness, but also with mobility and individuality. Joint moment measurements provide an objective biomechanical assessment of knee joint load in osteoarthritis (KOA). Wearable sensors paired with machine learning approaches could be used to create novel assistive devices for KOA patients to help them better manage their condition and reduce the risk of non-functional overreaching. In addition to other non-pharmacological conservative treatments, gait modification advances through gait retraining therapies (e.g., altering the foot progression angle) have proved to be successful in lowering KAM during walking and relieving patient symptoms.
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