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.
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 hemipareticpatients. MATERIAL AND METHOD: The study was performed in a group of 30 post-strokepatients, 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 hemipareticpatients.
Authors: Cecilia Estrada-Barranco; Vanesa Abuín-Porras; Javier López-Ruiz; Ismael Sanz-Esteban; Francisco Molina-Rueda; Roberto Cano-de-la-Cuerda Journal: Int J Environ Res Public Health Date: 2021-06-27 Impact factor: 3.390