Remote Gait Analysis Using Wearable Sensors Detects Asymmetric Gait Patterns in Patients Recovering from ACL Reconstruction

• Published in: Proceedings (International Conference on Wearable and Implantable Body Sensor Networks : Print) pp. 1 - 4
• Main Authors: Gurchiek, Reed D., Choquette, Rebecca H., Beynnon, Bruce D., Slauterbeck, James R., Tourville, Timothy W., Toth, Michael J., McGinnis, Ryan S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2019
• Subjects: Acceleration; accelerometer; Accelerometers; ACL reconstruction; electromyography; gait analysis; Legged locomotion; machine learning; Muscles; Surgery; Thigh; wearable sensor; Wearable sensors

This paper presents an automated, wearable sensor-based remote gait analysis method and demonstrates its utility by evaluating gait in patients recovering from anterior cruciate ligament (ACL) reconstruction. Patients wore a single wearable sensor over the rectus femoris of each leg to collect over...