The Effect of Correction Algorithms on Knee Kinematics and Kinetics during Gait of Patients with Knee Osteoarthritis

Hanna Ulbricht; Meijin Hou; Xiangbin Wang; Jian He; Yanxin Zhang

doi:10.1155/2020/8854124

The Effect of Correction Algorithms on Knee Kinematics and Kinetics during Gait of Patients with Knee Osteoarthritis

Appl Bionics Biomech. 2020 Nov 23:2020:8854124. doi: 10.1155/2020/8854124. eCollection 2020.

Authors

Hanna Ulbricht^{1

2}, Meijin Hou^{3

4}, Xiangbin Wang^{4

5}, Jian He^{4

5}, Yanxin Zhang^{2

5}

Affiliations

¹ Human Movement Science, Chemnitz University of Technology, Chemnitz 09112, Germany.
² Department of Exercise Sciences, University of Auckland, Auckland 1142, New Zealand.
³ National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
⁴ Key Laboratory of Orthopedics & Traumatology of Traditional Chinese Medicine and Rehabilitation (Fujian University of Traditional Chinese Medicine), Ministry of Education, Fuzhou 350122, China.
⁵ College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, 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 20 healthy 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 crosstalk for both groups, and FJA reduced crosstalk 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 crosstalk for gait from patients with knee OA, which can further influence the results of knee joint angles and moments. We recommend that the correction algorithms be applied in clinical gait analysis with patients with knee OA.