Cargando…
Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson’s Disease
Mobile gait analysis systems using wearable sensors have the potential to analyze and monitor pathological gait in a finer scale than ever before. A closer look at gait in Parkinson’s disease (PD) reveals that turning has its own characteristics and requires its own analysis. The goal of this paper...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679564/ https://www.ncbi.nlm.nih.gov/pubmed/31337067 http://dx.doi.org/10.3390/s19143103 |
_version_ | 1783441364509261824 |
---|---|
author | Haji Ghassemi, Nooshin Hannink, Julius Roth, Nils Gaßner, Heiko Marxreiter, Franz Klucken, Jochen Eskofier, Björn M. |
author_facet | Haji Ghassemi, Nooshin Hannink, Julius Roth, Nils Gaßner, Heiko Marxreiter, Franz Klucken, Jochen Eskofier, Björn M. |
author_sort | Haji Ghassemi, Nooshin |
collection | PubMed |
description | Mobile gait analysis systems using wearable sensors have the potential to analyze and monitor pathological gait in a finer scale than ever before. A closer look at gait in Parkinson’s disease (PD) reveals that turning has its own characteristics and requires its own analysis. The goal of this paper is to present a system with on-shoe wearable sensors in order to analyze the abnormalities of turning in a standardized gait test for PD. We investigated turning abnormalities in a large cohort of 108 PD patients and 42 age-matched controls. We quantified turning through several spatio-temporal parameters. Analysis of turn-derived parameters revealed differences of turn-related gait impairment in relation to different disease stages and motor impairment. Our findings confirm and extend the results from previous studies and show the applicability of our system in turning analysis. Our system can provide insight into the turning in PD and be used as a complement for physicians’ gait assessment and to monitor patients in their daily environment. |
format | Online Article Text |
id | pubmed-6679564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66795642019-08-19 Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson’s Disease Haji Ghassemi, Nooshin Hannink, Julius Roth, Nils Gaßner, Heiko Marxreiter, Franz Klucken, Jochen Eskofier, Björn M. Sensors (Basel) Article Mobile gait analysis systems using wearable sensors have the potential to analyze and monitor pathological gait in a finer scale than ever before. A closer look at gait in Parkinson’s disease (PD) reveals that turning has its own characteristics and requires its own analysis. The goal of this paper is to present a system with on-shoe wearable sensors in order to analyze the abnormalities of turning in a standardized gait test for PD. We investigated turning abnormalities in a large cohort of 108 PD patients and 42 age-matched controls. We quantified turning through several spatio-temporal parameters. Analysis of turn-derived parameters revealed differences of turn-related gait impairment in relation to different disease stages and motor impairment. Our findings confirm and extend the results from previous studies and show the applicability of our system in turning analysis. Our system can provide insight into the turning in PD and be used as a complement for physicians’ gait assessment and to monitor patients in their daily environment. MDPI 2019-07-13 /pmc/articles/PMC6679564/ /pubmed/31337067 http://dx.doi.org/10.3390/s19143103 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Haji Ghassemi, Nooshin Hannink, Julius Roth, Nils Gaßner, Heiko Marxreiter, Franz Klucken, Jochen Eskofier, Björn M. Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson’s Disease |
title | Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson’s Disease |
title_full | Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson’s Disease |
title_fullStr | Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson’s Disease |
title_full_unstemmed | Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson’s Disease |
title_short | Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson’s Disease |
title_sort | turning analysis during standardized test using on-shoe wearable sensors in parkinson’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679564/ https://www.ncbi.nlm.nih.gov/pubmed/31337067 http://dx.doi.org/10.3390/s19143103 |
work_keys_str_mv | AT hajighasseminooshin turninganalysisduringstandardizedtestusingonshoewearablesensorsinparkinsonsdisease AT hanninkjulius turninganalysisduringstandardizedtestusingonshoewearablesensorsinparkinsonsdisease AT rothnils turninganalysisduringstandardizedtestusingonshoewearablesensorsinparkinsonsdisease AT gaßnerheiko turninganalysisduringstandardizedtestusingonshoewearablesensorsinparkinsonsdisease AT marxreiterfranz turninganalysisduringstandardizedtestusingonshoewearablesensorsinparkinsonsdisease AT kluckenjochen turninganalysisduringstandardizedtestusingonshoewearablesensorsinparkinsonsdisease AT eskofierbjornm turninganalysisduringstandardizedtestusingonshoewearablesensorsinparkinsonsdisease |