Application of gait analysis based on digital video and digital image processing in stroke rehabilitation training
10.3969/j.issn.1672-5921.2009.09.003
- Author:
Xue-Yan HU
1
Author Information
1. School of Rehabilitation Medicine
- Publication Type:Journal Article
- Keywords:
Gait;
Rehabilitation;
Signal processing, computer-assisted;
Stroke
- From:
Chinese Journal of Cerebrovascular Diseases
2009;6(9):456-460
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To study the effect of gait analysis based on digital video and digital image processing in rehabilitation training in patients with stroke. Methods: Twenty patients with unilateral hemiplegia after stroke were selected. Gait analysis by digital video and digital image processing were used to evaluate the parameter changes of the temporal-spatial parameters of bilateral limbs (stride circles, stride length, stride frequency, stride speed, stand phase time) and the joint (hip, knee, ankle joints) angles before and after (3 months) the rehabilitation training. Results: Circled digit oneThe stride length and speed in 20 patients were 0.51 ± 0.12 m and 0.26 ± 0.17 m/s before the rehabilitation training; they were 0.66 ± 0.23 m and 0.33 ± 0.21 m/s after the training (P < 0.05 all). There were no significant differences among the stride circles, stride frequency, and stand phase time before and after the training. Circled digit twoThe flexion angle of the affected ankle joint reduced significantly when first touched ground after the rehabilitation training as compared to that before the training; the maximum extension angle of the standing phase of ankle and hip joints was increased; the flexion angle of knee joint increased at toe-off, so did the extension angle of ankle joint; the maximum flexion angles of knee and hip joints at stride phase was increased; the range of hip joint angle change in sagittal plan was increased, and that of the ankle joint angle was decreased. Before and after the rehabilitation training on the unaffected sides, there were no significant changes in other joint angle parameters, except the increased maximum flexion angle of the knee joint in stride phase (P < 0.05). Conclusion: The gait analysis base on digital video and digital image processing contributes to qualitatively evaluate the gait characteristics and the efficacy of rehabilitation treatment in patients with stroke.
