Literature DB >> 9354495

Comparison of balance responses and motor patterns during sit-to-stand task with functional mobility in stroke patients.

M Y Lee1, M K Wong, F T Tang, P T Cheng, P S Lin.   

Abstract

This study was undertaken to explore whether we could provide supportive laboratory evidence for the clinical observations that a stroke patient has lost functional mobility/locomotion capability based on dynamic balance responses (center of force sway patterns) and motor control activities (electromyography patterns) during the motor task of sit-to-stand. A computerized controlled dynamic postural control assessment system was developed and used in this study. Various dynamic balance indexes were introduced and derived from center of force sway patterns expressed in four domains (space, time, force, and frequency). Motor control was assessed by multichannel surface electromyography of each side of the lower limb during the same motor task. The functional mobility capability was evaluated using the traditional FIM method. Fourteen stroke patients with right hemiplegia and nine healthy elderly individuals were recruited as the experimental and control groups, respectively. Muscle activity was recorded for quadriceps, hamstrings, anterior tibialis, and triceps surae muscles and was used for analysis. Center of force sway patterns and ground reaction forces were registered. All signals were synchronized at "seat-off." Surface electromyographic patterns of activities recorded during sit-to-stand and dynamic balance indexes computed from center of force sway patterns were categorized and compared with the functional mobility scores. Results show that both the motor control patterns and dynamic balance indexes correlated well to the extent of mobility impairment evaluated using the traditional FIM method. An important conclusion for rehabilitation medicine is that the functional mobility capability of stroke patients may be expressed numerically using dynamic balance indexes and visualized graphically through electromyographic motor patterns.

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Year:  1997        PMID: 9354495     DOI: 10.1097/00002060-199709000-00011

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  7 in total

1.  Biofeedback rehabilitation of posture and weightbearing distribution in stroke: a center of foot pressure analysis.

Authors:  Alessandro Marco De Nunzio; Chiara Zucchella; Francesca Spicciato; Paolo Tortola; Carmine Vecchione; Francesco Pierelli; Michaelangelo Bartolo
Journal:  Funct Neurol       Date:  2014 Apr-Jun

2.  Muscle strength and weight-bearing symmetry relate to sit-to-stand performance in individuals with stroke.

Authors:  Melanie J Lomaglio; Janice J Eng
Journal:  Gait Posture       Date:  2005-10       Impact factor: 2.840

3.  Effects of Balance Control Training on Functional Outcomes in Subacute Hemiparetic Stroke Patients.

Authors:  Jin Seok Huh; Yang-Soo Lee; Chul-Hyun Kim; Yu-Sun Min; Min-Gu Kang; Tae-Du Jung
Journal:  Ann Rehabil Med       Date:  2015-12-29

4.  Measurement of paretic-lower-extremity loading and weight transfer after stroke.

Authors:  Vicki Stemmons Mercer; Janet Kues Freburger; Shuo-Hsiu Chang; Jama L Purser
Journal:  Phys Ther       Date:  2009-05-21

5.  Feasibility and effects of newly developed balance control trainer for mobility and balance in chronic stroke patients: a randomized controlled trial.

Authors:  So Hyun Lee; Seung Deuk Byun; Chul Hyun Kim; Jin Young Go; Hyeon Uk Nam; Jin Seok Huh; Tae Du Jung
Journal:  Ann Rehabil Med       Date:  2012-08-27

6.  Repetitive sit-to-stand training with the step-foot position on the non-paretic side, and its effects on the balance and foot pressure of chronic stroke subjects.

Authors:  Kyung Kim; Young Mi Kim; Dong Yeon Kang
Journal:  J Phys Ther Sci       Date:  2015-08-21

7.  Gait Training in Chronic Stroke Using Walk-Even Feedback Device: A Pilot Study.

Authors:  V Krishnan; I Khoo; P Marayong; K DeMars; J Cormack
Journal:  Neurosci J       Date:  2016-11-24
  7 in total

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