Design and Development of a Real-time Monitoring System for ACL Injury Prevention
R Harinandan, Mahesh Kumar N, Pratyush, Puram Vamshi, Chennagiri Rajarao Padma, Krutthika Hirebasur Krishnappa, Jahnavi Rohini Raghunandan · 2024
Anterior Cruciate Ligament (ACL) injuries are common in sports and can have long-term effects on the injured party. They frequently require intensive rehabilitation. The creation, assessment, and proof of concept of an electronic monitoring tool designed to identify and stop ACL injuries are presented in this work. In later stages, we use machine learning algorithms to analyse biomechanical data in real-time, giving users immediate feedback on movement patterns such as slowing down walking pace or prohibiting the user from moving at a certain angle to avoid any sort of injury risk factors. The device makes use of wearable sensors, such as an MPU6050 (accelerometer/gyroscope) sensor and an Electromyography (EMG) sensor. Through a series of laboratory tests and field trials, the effectiveness and usability of the device were assessed, demonstrating its potential to improve athlete performance, prevent injuries, and enhance rehabilitation outcomes. According to the findings, there is hope for reducing the risk of ACL injuries and improving sports training regimens with the use of an electronic monitoring device.