The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients: a cross-sectional pilot study

Daisuke Katoh, Hiroki Tanikawa, Satoshi Hirano, Masahiko Mukaino, Junya Yamada, Shinya Sasaki, Kei Ohtsuka, Masaki Katoh, Eiichi Saito

Research output: Contribution to journalArticle

Abstract

Background: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patients. The GEAR can assist paretic lower limb swing and stance stability, which make it possible to practice walking without excessive compensation movements. However, there are no studies to-date that investigate the effect of the GEAR on gait pattern. Objectives: The purpose of this study was to clarify the effect of gait training on gait pattern using the GEAR for rehabilitation in stroke patients. Methods: Fifteen hemiplegic patients who received gait training using the GEAR were recruited (GEAR group). As a control group, hemiplegic patients who did not receive gait training using the GEAR were selected for each patient in the GEAR group from 114 cases in our hospital database. Primary outcomes were index values indicating the degree of 10 abnormal gait patterns. Secondary outcomes were spatiotemporal factors and comfortable overground gait velocity. Results: Index values for abnormal gait patterns were significantly lower in the GEAR group compared to the control group for insufficient knee flexion during the swing phase, hip hiking, and excessive lateral shift of the trunk over the unaffected-side (p < .05). The comfortable overground gait velocity, stride length, and unaffected-step length in the GEAR group were significantly better than in the control group (p < .05). Conclusions: Gait training using the GEAR had effects on reducing abnormal gait patterns and improving gait velocity, stride, and unaffected-side step length compared to conventional gait training alone in individuals recovering from stroke-induced hemiplegia.

Original languageEnglish
JournalTopics in Stroke Rehabilitation
DOIs
Publication statusAccepted/In press - 01-01-2019

Fingerprint

Gait
Cross-Sectional Studies
Stroke
Exercise
Control Groups
Training Support

All Science Journal Classification (ASJC) codes

  • Rehabilitation
  • Community and Home Care
  • Clinical Neurology

Cite this

@article{af9b720ebbda4857a398fa80629174a8,
title = "The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients: a cross-sectional pilot study",
abstract = "Background: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patients. The GEAR can assist paretic lower limb swing and stance stability, which make it possible to practice walking without excessive compensation movements. However, there are no studies to-date that investigate the effect of the GEAR on gait pattern. Objectives: The purpose of this study was to clarify the effect of gait training on gait pattern using the GEAR for rehabilitation in stroke patients. Methods: Fifteen hemiplegic patients who received gait training using the GEAR were recruited (GEAR group). As a control group, hemiplegic patients who did not receive gait training using the GEAR were selected for each patient in the GEAR group from 114 cases in our hospital database. Primary outcomes were index values indicating the degree of 10 abnormal gait patterns. Secondary outcomes were spatiotemporal factors and comfortable overground gait velocity. Results: Index values for abnormal gait patterns were significantly lower in the GEAR group compared to the control group for insufficient knee flexion during the swing phase, hip hiking, and excessive lateral shift of the trunk over the unaffected-side (p < .05). The comfortable overground gait velocity, stride length, and unaffected-step length in the GEAR group were significantly better than in the control group (p < .05). Conclusions: Gait training using the GEAR had effects on reducing abnormal gait patterns and improving gait velocity, stride, and unaffected-side step length compared to conventional gait training alone in individuals recovering from stroke-induced hemiplegia.",
author = "Daisuke Katoh and Hiroki Tanikawa and Satoshi Hirano and Masahiko Mukaino and Junya Yamada and Shinya Sasaki and Kei Ohtsuka and Masaki Katoh and Eiichi Saito",
year = "2019",
month = "1",
day = "1",
doi = "10.1080/10749357.2019.1660080",
language = "English",
journal = "Topics in Stroke Rehabilitation",
issn = "1074-9357",
publisher = "Thomas Land Publishers Inc.",

}

The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients : a cross-sectional pilot study. / Katoh, Daisuke; Tanikawa, Hiroki; Hirano, Satoshi; Mukaino, Masahiko; Yamada, Junya; Sasaki, Shinya; Ohtsuka, Kei; Katoh, Masaki; Saito, Eiichi.

In: Topics in Stroke Rehabilitation, 01.01.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients

T2 - a cross-sectional pilot study

AU - Katoh, Daisuke

AU - Tanikawa, Hiroki

AU - Hirano, Satoshi

AU - Mukaino, Masahiko

AU - Yamada, Junya

AU - Sasaki, Shinya

AU - Ohtsuka, Kei

AU - Katoh, Masaki

AU - Saito, Eiichi

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Background: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patients. The GEAR can assist paretic lower limb swing and stance stability, which make it possible to practice walking without excessive compensation movements. However, there are no studies to-date that investigate the effect of the GEAR on gait pattern. Objectives: The purpose of this study was to clarify the effect of gait training on gait pattern using the GEAR for rehabilitation in stroke patients. Methods: Fifteen hemiplegic patients who received gait training using the GEAR were recruited (GEAR group). As a control group, hemiplegic patients who did not receive gait training using the GEAR were selected for each patient in the GEAR group from 114 cases in our hospital database. Primary outcomes were index values indicating the degree of 10 abnormal gait patterns. Secondary outcomes were spatiotemporal factors and comfortable overground gait velocity. Results: Index values for abnormal gait patterns were significantly lower in the GEAR group compared to the control group for insufficient knee flexion during the swing phase, hip hiking, and excessive lateral shift of the trunk over the unaffected-side (p < .05). The comfortable overground gait velocity, stride length, and unaffected-step length in the GEAR group were significantly better than in the control group (p < .05). Conclusions: Gait training using the GEAR had effects on reducing abnormal gait patterns and improving gait velocity, stride, and unaffected-side step length compared to conventional gait training alone in individuals recovering from stroke-induced hemiplegia.

AB - Background: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patients. The GEAR can assist paretic lower limb swing and stance stability, which make it possible to practice walking without excessive compensation movements. However, there are no studies to-date that investigate the effect of the GEAR on gait pattern. Objectives: The purpose of this study was to clarify the effect of gait training on gait pattern using the GEAR for rehabilitation in stroke patients. Methods: Fifteen hemiplegic patients who received gait training using the GEAR were recruited (GEAR group). As a control group, hemiplegic patients who did not receive gait training using the GEAR were selected for each patient in the GEAR group from 114 cases in our hospital database. Primary outcomes were index values indicating the degree of 10 abnormal gait patterns. Secondary outcomes were spatiotemporal factors and comfortable overground gait velocity. Results: Index values for abnormal gait patterns were significantly lower in the GEAR group compared to the control group for insufficient knee flexion during the swing phase, hip hiking, and excessive lateral shift of the trunk over the unaffected-side (p < .05). The comfortable overground gait velocity, stride length, and unaffected-step length in the GEAR group were significantly better than in the control group (p < .05). Conclusions: Gait training using the GEAR had effects on reducing abnormal gait patterns and improving gait velocity, stride, and unaffected-side step length compared to conventional gait training alone in individuals recovering from stroke-induced hemiplegia.

UR - http://www.scopus.com/inward/record.url?scp=85071969567&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85071969567&partnerID=8YFLogxK

U2 - 10.1080/10749357.2019.1660080

DO - 10.1080/10749357.2019.1660080

M3 - Article

C2 - 31483736

AN - SCOPUS:85071969567

JO - Topics in Stroke Rehabilitation

JF - Topics in Stroke Rehabilitation

SN - 1074-9357

ER -