Variability of Lower Extremity Joint Kinematics During Backward Walking in a Virtual Environment

Dimitrios Katsavelis, Mukul Mukherjee, Leslie Decker, Nicholas Stergiou

Research output: Contribution to journalArticle

26 Scopus citations

Abstract

Backward walking (BW) shows significant differences with forward walking (FW) and these differences are potentially useful in rehabilitation. However the lack of visual cues makes BW risky. The purpose of this study was to investigate the effect of visual cues provided by a virtual environment on FW and BW on gait variability. Each subject underwent four conditions of treadmill walking at self-selected pace. The subjects walked backwards in three conditions and forwards in the fourth condition. A virtual corridor was displayed to the subjects in the FW condition (forward optic flow) and two of the backward conditions (forward and backward optic flow). The third BW condition was a control condition (no visual cues). Gait variability measures of the hip, knee and ankle range of motion and the stride interval were analyzed. Magnitude of variability was evaluated with the coefficient of variation and structure of variability with approximate entropy. Significant differences were demonstrated between the FW and the BW gait characteristics as well as in gait variability (for both magnitude and structure of variability). No significant differences were found between the three BW conditions as a result of the direction of visual cues. In order to get optimal benefit of BW in the aged and the diseased, optical flow of visual feedback may need to be manipulated in a different manner than FW. Future studies will explore other parameters of visual cues like the velocity of optic flow and appearance of obstacles to obtain the best visual cue configuration for rehabilitation.

Original languageEnglish (US)
Pages (from-to)165-178
Number of pages14
JournalNonlinear Dynamics, Psychology, and Life Sciences
Volume14
Issue number2
StatePublished - Apr 1 2010
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Applied Mathematics

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