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Time-course analysis of stretch reflexes in hemiparetic subjects using an on-line spasticity measurement system

  • Ming Shaung Ju
  • , Jia Jin J. Chen*
  • , Hsin Min Lee
  • , Thy Sheng Lin
  • , Chou Ching Lin
  • , Yin Zu Huang
  • *Corresponding author for this work
  • National Cheng Kung University

Research output: Contribution to journalJournal Article peer-review

38 Scopus citations

Abstract

Spasticity after a stroke is usually assessed in a score form by subjectively determining the resistance of a joint to an externally imposed passive movement. This work presents a spasticity measurement system for on-line quantifying the stretch reflex of paretic limbs. Four different constant stretch velocities in a ramp-and-hold mode are used to elicit the stretch reflex of the elbow joint in spastic subjects. The subjects are tested at supine position with the upper limb stretched towards the ground, in contrast with the horizontally stretched movement used in other studies. By subtracting the baseline torque, reflex torque measured at a selected low stretch velocity of 5 deg/sec, the influence of gravity torque and inertial in vertical stretching mode can be minimized. The averaged speed-dependent reflex torque (ASRT), defined as the measured torque deviated from the baseline torque, is used for quantifying the spastic hypertonia. Four subjects having incurred cerebrovascular accident (CVA) are recruited for time-course study in which the measurements are taken at 72 hours, one week, one month, three months, and six months after onset of stroke. During the development of spasticity, the changes of ASRT and velocity sensitivity of ASRT of the involved and the intact elbow joints are discussed. Copyright (C) 2000 Elsevier Science Ltd.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalJournal of Electromyography and Kinesiology
Volume10
Issue number1
DOIs
StatePublished - 02 2000
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Hypertonia
  • Spasticity
  • Stroke
  • Time-course analysis

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