Knee Osteoarthiritis Detection And Monitoring Abnormalities Using Medical Sensors
Keywords:
Knee osteoarthritis, wearable technology, gait analysis, biomechanical monitoring, musculoskeletal assessment, remote health monitoring, rehabilitation evaluation.Abstract
Knee OA is a progressive degenerative joint disorder that results in chronic pain, reduced mobility, and functional impairment, especially in aging populations. Traditional diagnostic techniques using X-rays and MRI visualize structural changes but provide no continuous, real-time disease state information. The following research will address this unmet need for dynamic, patient-specific tracking by proposing a wearable sensor-based approach to capture biomechanical and physiological indicators associated with knee OA. This approach will integrate IMUs, pressure sensors, and gyroscope-based motion tracking to monitor gait symmetry, joint loading, and muscle activity during daily activities. The solution aims to permit early disease detection, personalization of treatment evaluation, and individualized disease management. This work introduces an integrated real-time multisensor fusion framework that allows the continuous, remote assessment of knee function outside clinical settings, improving diagnostic accuracy and rehabilitation outcomes.
