Wavelet analysis reveals differential lower limb muscle activity patterns long after anterior cruciate ligament reconstruction.

ABSTRACT: The purpose of this study was to test whether differences in muscle activity patterns between anterior cruciate ligament-reconstructed patients (ACLR) and healthy controls could be detected 10 to 15 years post-surgery using a machine learning classification approach. Eleven ACLR subjects and 12 healthy controls were recruited from an ongoing prospective randomized clinical trial. Surface electromyography (EMG) signals were recorded from gastrocnemius medialis and lateralis, tibialis anterior, vastus medialis, rectus femoris, biceps femoris, and semitendinosus muscles. Muscle activity was analyzed using wavelet analysis and examined within four sub-phases of the hop test, as well as an average of the task as a whole. K-nearest neighbor machine learning combined with a leave-one-out validati

SUBMITTER: Zandiyeh P 

PROVIDER: S-EPMC8893161 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature