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...

Descripción completa

Detalles Bibliográficos
Autores principales: Haji Ghassemi, Nooshin, Hannink, Julius, Roth, Nils, Gaßner, Heiko, Marxreiter, Franz, Klucken, Jochen, Eskofier, Björn M.
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