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Gait Study on the Normal and ACL Deficient Patients after Ligament Reconstruction Surgery Using Chaos Analysis Method  

Ko Jae Hun (부산대학교 대학원 기계설계공학과)
Son Kwon (부산대학교 기계공학부)
Park Jung Hong (부산대학교 대학원 기계설계공학과)
Suh Jeung Tak (부산대학교 의과대학 정형외과)
Publication Information
Journal of the Korean Society for Precision Engineering / v.23, no.2, 2006 , pp. 164-171 More about this Journal
Abstract
Anterior cruciate ligament(ACL) injury of the knee is common and a serious ACL injury leads to ligament reconstruction surgery. Gait analysis is used to identify the result of surgery. The purpose of this study is to numerically evaluate and classify knee condition of patients through the chaos analysis. Experiments were carried out for 13 subjects (8 healthy subjects, 5 ACL deficient patients) walking on a treadmill. Sagittal kinematic data of the right lower extremity were collected by using a 3D motion analysis system. The recorded gait patterns were digitized and then coordinated by KWON3D. The largest Lyapunov exponent from the measured knee angular displacement time series was calculated to quantify local stability. It was found that the Lyapunov exponent becomes larger as the knee condition becomes worse. This study suggested a method of the severity of injury and the level of recovery. The proposed method discerns difference between healthy subjects and patients.
Keywords
Chaos; Lyapunov Exponent; Knee Flexion-Extension; ACL; Ligament Reconstruction Surgery;
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