Author/Authors :
Ulbricht, Hanna Human Movement Science - Chemnitz University of Technology, Chemnitz, Germany , Hou, Meijin National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology - Fujian University of TraditionalChinese Medicine, Fuzhou, China , Wang, Xiangbin Key Laboratory of Orthopedics & Traumatology of Traditional Chinese Medicine and Rehabilitation (Fujian University of Traditional Chinese Medicine) - Ministry of Education, Fuzhou, China , He, Jian Key Laboratory of Orthopedics & Traumatology of Traditional Chinese Medicine and Rehabilitation (Fujian University of Traditional Chinese Medicine) - Ministry of Education, Fuzhou, China , Zhang, Yanxin College of Rehabilitation Medicine - Fujian University of Traditional Chinese Medicine, Fuzhou, China
Abstract :
In gait analysis, the accuracy of knee joint angles and moments is critical for clinical decision-making. The purpose of this study was to determine the efficacy of two existing algorithms for knee joint axis correction under pathological conditions. Gait data from 20healthy participants and 20 patients with knee osteoarthritis (OA) were collected using a motion capture system. An algorithm based on Principal Component Analysis (PCA) and a functional joint-based algorithm (FJA) were used to define the knee joint flexion axis. The results show that PCA decreased cross talk for both groups, and FJA reduced cross talk in patients with knee OA only. PCA decreased the range of motions of patients with knee OA in the direction of abduction/adduction significantly.There was a significant increase in the maximum knee flexion moment of patients with knee OA by FJA. The results indicate that both algorithms can efficiently reduce cross talk for gait from patients with knee OA, which can further influence the result sof knee joint angles and moments. We recommend that the correction algorithms be applied in clinical gait analysis with patients with knee OA
