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Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke

Gait disturbance is a common sequela of stroke. Conventional gait analysis has limitations in simultaneously assessing multiple joints. Therefore, we investigated the gait characteristics in stroke patients using hip-knee cyclograms, which have the advantage of simultaneously visualizing the gait ki...

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Autores principales: Lee, Ho Seok, Ryu, Hokyoung, Lee, Shi-Uk, Cho, Jae-sung, You, Sungmin, Park, Jae Hyeon, Jang, Seong-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621813/
https://www.ncbi.nlm.nih.gov/pubmed/34833761
http://dx.doi.org/10.3390/s21227685
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author Lee, Ho Seok
Ryu, Hokyoung
Lee, Shi-Uk
Cho, Jae-sung
You, Sungmin
Park, Jae Hyeon
Jang, Seong-Ho
author_facet Lee, Ho Seok
Ryu, Hokyoung
Lee, Shi-Uk
Cho, Jae-sung
You, Sungmin
Park, Jae Hyeon
Jang, Seong-Ho
author_sort Lee, Ho Seok
collection PubMed
description Gait disturbance is a common sequela of stroke. Conventional gait analysis has limitations in simultaneously assessing multiple joints. Therefore, we investigated the gait characteristics in stroke patients using hip-knee cyclograms, which have the advantage of simultaneously visualizing the gait kinematics of multiple joints. Stroke patients (n = 47) were categorized into two groups according to stroke severity, and healthy controls (n = 32) were recruited. An inertial measurement unit sensor-based gait analysis system, which requires placing seven sensors on the dorsum of both feet, the shafts of both tibias, the middle of both femurs, and the lower abdomen, was used for the gait analysis. Then, the hip-knee cyclogram parameters (range of motion, perimeter, and area) were obtained from the collected data. The coefficient of variance of the cyclogram parameters was obtained to evaluate gait variability. The cyclogram parameters differed between the stroke patients and healthy controls, and differences according to stroke severity were also observed. The gait variability parameters mainly differed in patients with more severe stroke, and specific visualized gait patterns of stroke patients were obtained through cyclograms. In conclusion, the hip-knee cyclograms, which show inter-joint coordination and visualized gait cycle in stroke patients, are clinically significant.
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spelling pubmed-86218132021-11-27 Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke Lee, Ho Seok Ryu, Hokyoung Lee, Shi-Uk Cho, Jae-sung You, Sungmin Park, Jae Hyeon Jang, Seong-Ho Sensors (Basel) Article Gait disturbance is a common sequela of stroke. Conventional gait analysis has limitations in simultaneously assessing multiple joints. Therefore, we investigated the gait characteristics in stroke patients using hip-knee cyclograms, which have the advantage of simultaneously visualizing the gait kinematics of multiple joints. Stroke patients (n = 47) were categorized into two groups according to stroke severity, and healthy controls (n = 32) were recruited. An inertial measurement unit sensor-based gait analysis system, which requires placing seven sensors on the dorsum of both feet, the shafts of both tibias, the middle of both femurs, and the lower abdomen, was used for the gait analysis. Then, the hip-knee cyclogram parameters (range of motion, perimeter, and area) were obtained from the collected data. The coefficient of variance of the cyclogram parameters was obtained to evaluate gait variability. The cyclogram parameters differed between the stroke patients and healthy controls, and differences according to stroke severity were also observed. The gait variability parameters mainly differed in patients with more severe stroke, and specific visualized gait patterns of stroke patients were obtained through cyclograms. In conclusion, the hip-knee cyclograms, which show inter-joint coordination and visualized gait cycle in stroke patients, are clinically significant. MDPI 2021-11-19 /pmc/articles/PMC8621813/ /pubmed/34833761 http://dx.doi.org/10.3390/s21227685 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Ho Seok
Ryu, Hokyoung
Lee, Shi-Uk
Cho, Jae-sung
You, Sungmin
Park, Jae Hyeon
Jang, Seong-Ho
Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke
title Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke
title_full Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke
title_fullStr Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke
title_full_unstemmed Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke
title_short Analysis of Gait Characteristics Using Hip-Knee Cyclograms in Patients with Hemiplegic Stroke
title_sort analysis of gait characteristics using hip-knee cyclograms in patients with hemiplegic stroke
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621813/
https://www.ncbi.nlm.nih.gov/pubmed/34833761
http://dx.doi.org/10.3390/s21227685
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