Assessment of asymmetric gait in hemiplegia using electromyographic phasic activity

Jia-Jin Chen, Tse Chien Huseh, Jiann Jhy Liou, Ing-Shiou Hwang, Sung I. Lin

Research output: Contribution to journalArticlepeer-review

Abstract

Electromyography (EMG) has been applied to assess various types of movement disorders. The aim of this research is to utilize EMG for determining the correct or incorrect phasing of muscle activity during human locomotion, especially for asymmetrical gait in hemiplegia. In this research, the EMG activity pattern is represented in linear envelope (LE) form. The EMG LE is produced by passing the raw EMG signal through band-pass filtering, rectifying, and integration processes. The processing of EMG LE, differed from previous research, is totally implemented in software. The signal processing techniques selected, such as the cut-off frequency of integrator, could affect the repeatability of the resulting EMG LE. An EMG simulation process which generates raw EMG with varied stance/swing (ST/SW) ratio is designed to verify the optimality of time and amplitude normalization methods in EMG LE generation process. The variance ratio (VR) in combined with residual white noise tests are used as criteria to ensure optimal reduction of variability. These approaches are applied to assess the coordination of hemiplegic gait. The findings of this research have shown poor coordination of hemiplegic gait, tonic activity of upper neuron disease, and apparent compensation of non-paretic limb. The ultimate goal of this research is to assess the hemiplegic gait before and after rehabilitation treatment and thus to quantify the effect of the treatment.

Original languageEnglish
Pages (from-to)211-217
Number of pages7
JournalBiomedical Engineering - Applications, Basis and Communications
Volume6
Issue number2
Publication statusPublished - 1994 Jan 1

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Bioengineering
  • Biomedical Engineering

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