open access

Vol 51, No 1 (2017)
Original research articles
Submitted: 2016-05-21
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Analysis of consistency between temporospatial gait parameters and gait assessment with the use of Wisconsin Gait Scale in post-stroke patients

Agnieszka Guzik, Mariusz Drużbicki, Grzegorz Przysada, Andrzej Kwolek, Agnieszka Brzozowska-Magoń, Andżelina Wolan-Nieroda
DOI: 10.1016/j.pjnns.2016.11.004
·
Neurol Neurochir Pol 2017;51(1):60-65.

open access

Vol 51, No 1 (2017)
Original research articles
Submitted: 2016-05-21

Abstract

Introduction

Due to the increasing incidence and social effects of stroke there is a growing interest in finding methods enabling gait analysis in this group of patients. Observational techniques are predominantly applied in clinical practice; on the other hand advanced quantitative methods allow in-depth multidimensional gait assessment. The present study was designed to assess the consistency between temporospatial gait parameters acquired through 3-dimensional gait analysis and the results of gait assessment with the use of observational WGS in post stroke hemiparetic patients.

Material and method

The study was performed in a group of 30 post-stroke patients, over 6 months from the onset of ischaemic stroke, who were able to walk unassisted. Gait assessment based on WGS was performed by an experienced physiotherapist, with the use of video recordings. Assessment of temporospatial parameters was based on gait analysis performed with BTS Smart system.

Results

The findings show moderate correlation between WGS based gait assessment and gait velocity (r=−0.39; p=0.0316). Similar relationship was identified between gait cycle duration and score in WGS for both unaffected (r=−0.36; p=0.0477) and affected side (r=−0.37; p=0.0426). Higher correlation level was demonstrated for stance phase on the unaffected side and gait assessment based on WGS (r=0.58; p=0.0009).

Conclusions

Gait assessments with the use of temporospatial parameters and with observational WGS were found to produce moderate and good consistent results. WSG is a useful, simple tool for assessing gait in post stroke hemiparetic patients.

Abstract

Introduction

Due to the increasing incidence and social effects of stroke there is a growing interest in finding methods enabling gait analysis in this group of patients. Observational techniques are predominantly applied in clinical practice; on the other hand advanced quantitative methods allow in-depth multidimensional gait assessment. The present study was designed to assess the consistency between temporospatial gait parameters acquired through 3-dimensional gait analysis and the results of gait assessment with the use of observational WGS in post stroke hemiparetic patients.

Material and method

The study was performed in a group of 30 post-stroke patients, over 6 months from the onset of ischaemic stroke, who were able to walk unassisted. Gait assessment based on WGS was performed by an experienced physiotherapist, with the use of video recordings. Assessment of temporospatial parameters was based on gait analysis performed with BTS Smart system.

Results

The findings show moderate correlation between WGS based gait assessment and gait velocity (r=−0.39; p=0.0316). Similar relationship was identified between gait cycle duration and score in WGS for both unaffected (r=−0.36; p=0.0477) and affected side (r=−0.37; p=0.0426). Higher correlation level was demonstrated for stance phase on the unaffected side and gait assessment based on WGS (r=0.58; p=0.0009).

Conclusions

Gait assessments with the use of temporospatial parameters and with observational WGS were found to produce moderate and good consistent results. WSG is a useful, simple tool for assessing gait in post stroke hemiparetic patients.

Get Citation

Keywords

Gait, Stroke, Wisconsin Gait Scale, 3-Dimensional gait analysis

About this article
Title

Analysis of consistency between temporospatial gait parameters and gait assessment with the use of Wisconsin Gait Scale in post-stroke patients

Journal

Neurologia i Neurochirurgia Polska

Issue

Vol 51, No 1 (2017)

Pages

60-65

DOI

10.1016/j.pjnns.2016.11.004

Bibliographic record

Neurol Neurochir Pol 2017;51(1):60-65.

Keywords

Gait
Stroke
Wisconsin Gait Scale
3-Dimensional gait analysis

Authors

Agnieszka Guzik
Mariusz Drużbicki
Grzegorz Przysada
Andrzej Kwolek
Agnieszka Brzozowska-Magoń
Andżelina Wolan-Nieroda

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