Clinical applications of gait analysis
About: This article is published in Journal of Biomechanics.The article was published on 1993-03-01. It has received 4 citations till now. The article focuses on the topics: Gait analysis.
Citations
More filters
TL;DR: In this article, a critical survey of recent gait studies is presented, and the potential of these methods to strengthen the gait laboratory's analytical arsenal is reviewed. But, although initially promising, fuzzy and fractal analyses of gait data remain largely unknown and their full potential is yet to be realized.
334 citations
TL;DR: Gait data were collected on a group of 29 asymptomatic elderly subjects to describe knee joint kinematics and kinetics as measured by the three components of the bone-on-bone forces, net reaction moments and relative knee angles to develop Principal Component Models.
222 citations
06 Sep 2007
TL;DR: A fuzzy logic classification system was used first to discriminate healthy subjects from patients rather than classifying those using Brunnstrom stages, and results show that classifying patients becomes increasingly difficult linearly according to hemiplegia's severity.
Abstract: In this study a fuzzy logic classification system was used first to discriminate healthy subjects from patients rather than classifying those using Brunnstrom stages. Decision making was performed in two stages: feature extraction of gait signals and the fuzzy logic classification system which is used Tsukamato-type inference method. According to our signal feature extraction studies, we focused on temporal events and symetrical features of gait signal. Developed system has six inputs while four of them for temporal features evaluation rule block and two of them symmetrical features evaluation rule block. Our simulation test results showed that proposed system classify correctly 100% of subjects as patient and healthy elderly. The correlation coefficient was found 0.85 for classification to subjects to correct Brunnstrom stages. The results show that classifying patients becomes increasingly difficult linearly according to hemiplegia's severity.
8 citations
Additional excerpts
...It is now recognized that there’s a lack of effective and robust techniques to reduce gait data [ 5 , 6] and to extract information from highly-correlated gait data variables [7]....
[...]
19 Nov 2013
TL;DR: The purpose of this study was to investigate the effects of active and passive postural perturbation on ankle dorsiflexor responses in stroke patients and tibialis anterior muscle activity increased most significantly during PP of the affected side.
Abstract: The purpose of this study was to investigate the effects of active and passive postural perturbation on ankle dorsiflexor responses in stroke patients. The subjects consisted of 13 stroke patients. Using wireless electromyography, the patients` ankle dorsiflexor muscle responses were measured under the following conditions: active dorsiflexion (AD), active perturbation (AP), and passive perturbation (PP). Tibialis anterior muscle activity increased most significantly during PP of the affected side (118.64±56.28). The most significant increase for the non-affected side was in AD (72.64±24.56). Tibialis anterior muscle activity was compared under each condition. The affected side showed significant differences between PP and AD and between PP and AP (p .05). The ratios of tibialis anterior muscle activity under PP to that under AD were 3.30 on the affected side and 1.14 on the non-affected side and the difference was significant (p<.05). Passive perturbation improved tibialis anterior muscle activity on the affected side, and training based on this approach may have the potential to improve the ankle dorsiflexion of people with stroke.