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Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease
Gait disturbance is a prototypical feature of Parkinson’s disease (PD), and the quantification of gait using wearable sensors is promising. This study aimed to identify gait impairment in the early and progressive stages of PD according to the Hoehn and Yahr (H–Y) scale. A total of 138 PD patients a...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497215/ https://www.ncbi.nlm.nih.gov/pubmed/36138949 http://dx.doi.org/10.3390/brainsci12091213 |
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author | Zhu, Sha Wu, Zhuang Wang, Yaxi Jiang, Yinyin Gu, Ruxin Zhong, Min Jiang, Xu Shen, Bo Zhu, Jun Yan, Jun Pan, Yang Zhang, Li |
author_facet | Zhu, Sha Wu, Zhuang Wang, Yaxi Jiang, Yinyin Gu, Ruxin Zhong, Min Jiang, Xu Shen, Bo Zhu, Jun Yan, Jun Pan, Yang Zhang, Li |
author_sort | Zhu, Sha |
collection | PubMed |
description | Gait disturbance is a prototypical feature of Parkinson’s disease (PD), and the quantification of gait using wearable sensors is promising. This study aimed to identify gait impairment in the early and progressive stages of PD according to the Hoehn and Yahr (H–Y) scale. A total of 138 PD patients and 56 healthy controls (HCs) were included in our research. We collected gait parameters using the JiBuEn gait-analysis system. For spatiotemporal gait parameters and kinematic gait parameters, we observed significant differences in stride length (SL), gait velocity, the variability of SL, heel strike angle, and the range of motion (ROM) of the ankle, knee, and hip joints between HCs and PD patients in H–Y Ⅰ-Ⅱ. The changes worsened with the progression of PD. The differences in the asymmetry index of the SL and ROM of the hip were found between HCs and patients in H–Y Ⅳ. Additionally, these gait parameters were significantly associated with Unified Parkinson’s Disease Rating Scale and Parkinson’s Disease Questionnaire-39. This study demonstrated that gait impairment occurs in the early stage of PD and deteriorates with the progression of the disease. The gait parameters mentioned above may help to detect PD earlier and assess the progression of PD. |
format | Online Article Text |
id | pubmed-9497215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94972152022-09-23 Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease Zhu, Sha Wu, Zhuang Wang, Yaxi Jiang, Yinyin Gu, Ruxin Zhong, Min Jiang, Xu Shen, Bo Zhu, Jun Yan, Jun Pan, Yang Zhang, Li Brain Sci Article Gait disturbance is a prototypical feature of Parkinson’s disease (PD), and the quantification of gait using wearable sensors is promising. This study aimed to identify gait impairment in the early and progressive stages of PD according to the Hoehn and Yahr (H–Y) scale. A total of 138 PD patients and 56 healthy controls (HCs) were included in our research. We collected gait parameters using the JiBuEn gait-analysis system. For spatiotemporal gait parameters and kinematic gait parameters, we observed significant differences in stride length (SL), gait velocity, the variability of SL, heel strike angle, and the range of motion (ROM) of the ankle, knee, and hip joints between HCs and PD patients in H–Y Ⅰ-Ⅱ. The changes worsened with the progression of PD. The differences in the asymmetry index of the SL and ROM of the hip were found between HCs and patients in H–Y Ⅳ. Additionally, these gait parameters were significantly associated with Unified Parkinson’s Disease Rating Scale and Parkinson’s Disease Questionnaire-39. This study demonstrated that gait impairment occurs in the early stage of PD and deteriorates with the progression of the disease. The gait parameters mentioned above may help to detect PD earlier and assess the progression of PD. MDPI 2022-09-08 /pmc/articles/PMC9497215/ /pubmed/36138949 http://dx.doi.org/10.3390/brainsci12091213 Text en © 2022 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 Zhu, Sha Wu, Zhuang Wang, Yaxi Jiang, Yinyin Gu, Ruxin Zhong, Min Jiang, Xu Shen, Bo Zhu, Jun Yan, Jun Pan, Yang Zhang, Li Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease |
title | Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease |
title_full | Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease |
title_fullStr | Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease |
title_full_unstemmed | Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease |
title_short | Gait Analysis with Wearables Is a Potential Progression Marker in Parkinson’s Disease |
title_sort | gait analysis with wearables is a potential progression marker in parkinson’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497215/ https://www.ncbi.nlm.nih.gov/pubmed/36138949 http://dx.doi.org/10.3390/brainsci12091213 |
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