Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease

Digital technologies provide the opportunity to analyze gait patterns in patients with Parkinson’s Disease using wearable sensors in clinical settings and a home environment. Confirming the technical validity of inertial sensors with a 3D motion capture system is a necessary step for the clinical ap...

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Autores principales:	Verena Jakob, Arne Küderle, Felix Kluge, Jochen Klucken, Bjoern M. Eskofier, Jürgen Winkler, Martin Winterholler, Heiko Gassner
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Parkinson’s disease wearables inertial sensors three-dimensional gait analysis machine learning algorithm spatiotemporal gait parameters Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/0726389a06744637b15e422490f2b15e
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spelling	oai:doaj.org-article:0726389a06744637b15e422490f2b15e2021-11-25T18:58:26ZValidation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease10.3390/s212276801424-8220https://doaj.org/article/0726389a06744637b15e422490f2b15e2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7680https://doaj.org/toc/1424-8220Digital technologies provide the opportunity to analyze gait patterns in patients with Parkinson’s Disease using wearable sensors in clinical settings and a home environment. Confirming the technical validity of inertial sensors with a 3D motion capture system is a necessary step for the clinical application of sensor-based gait analysis. Therefore, the objective of this study was to compare gait parameters measured by a mobile sensor-based gait analysis system and a motion capture system as the gold standard. Gait parameters of 37 patients were compared between both systems after performing a standardized 5 × 10 m walking test by reliability analysis using intra-class correlation and Bland–Altman plots. Additionally, gait parameters of an age-matched healthy control group (<i>n</i> = 14) were compared to the Parkinson cohort. Gait parameters representing bradykinesia and short steps showed excellent reliability (ICC > 0.96). Shuffling gait parameters reached ICC > 0.82. In a stridewise synchronization, no differences were observed for gait speed, stride length, stride time, relative stance and swing time (<i>p</i> > 0.05). In contrast, heel strike, toe off and toe clearance significantly differed between both systems (<i>p</i> < 0.01). Both gait analysis systems distinguish Parkinson patients from controls. Our results indicate that wearable sensors generate valid gait parameters compared to the motion capture system and can consequently be used for clinically relevant gait recordings in flexible environments.Verena JakobArne KüderleFelix KlugeJochen KluckenBjoern M. EskofierJürgen WinklerMartin WinterhollerHeiko GassnerMDPI AGarticleParkinson’s diseasewearablesinertial sensorsthree-dimensional gait analysismachine learning algorithmspatiotemporal gait parametersChemical technologyTP1-1185ENSensors, Vol 21, Iss 7680, p 7680 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Parkinson’s disease wearables inertial sensors three-dimensional gait analysis machine learning algorithm spatiotemporal gait parameters Chemical technology TP1-1185
spellingShingle	Parkinson’s disease wearables inertial sensors three-dimensional gait analysis machine learning algorithm spatiotemporal gait parameters Chemical technology TP1-1185 Verena Jakob Arne Küderle Felix Kluge Jochen Klucken Bjoern M. Eskofier Jürgen Winkler Martin Winterholler Heiko Gassner Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease
description	Digital technologies provide the opportunity to analyze gait patterns in patients with Parkinson’s Disease using wearable sensors in clinical settings and a home environment. Confirming the technical validity of inertial sensors with a 3D motion capture system is a necessary step for the clinical application of sensor-based gait analysis. Therefore, the objective of this study was to compare gait parameters measured by a mobile sensor-based gait analysis system and a motion capture system as the gold standard. Gait parameters of 37 patients were compared between both systems after performing a standardized 5 × 10 m walking test by reliability analysis using intra-class correlation and Bland–Altman plots. Additionally, gait parameters of an age-matched healthy control group (<i>n</i> = 14) were compared to the Parkinson cohort. Gait parameters representing bradykinesia and short steps showed excellent reliability (ICC > 0.96). Shuffling gait parameters reached ICC > 0.82. In a stridewise synchronization, no differences were observed for gait speed, stride length, stride time, relative stance and swing time (<i>p</i> > 0.05). In contrast, heel strike, toe off and toe clearance significantly differed between both systems (<i>p</i> < 0.01). Both gait analysis systems distinguish Parkinson patients from controls. Our results indicate that wearable sensors generate valid gait parameters compared to the motion capture system and can consequently be used for clinically relevant gait recordings in flexible environments.
format	article
author	Verena Jakob Arne Küderle Felix Kluge Jochen Klucken Bjoern M. Eskofier Jürgen Winkler Martin Winterholler Heiko Gassner
author_facet	Verena Jakob Arne Küderle Felix Kluge Jochen Klucken Bjoern M. Eskofier Jürgen Winkler Martin Winterholler Heiko Gassner
author_sort	Verena Jakob
title	Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease
title_short	Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease
title_full	Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease
title_fullStr	Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease
title_full_unstemmed	Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease
title_sort	validation of a sensor-based gait analysis system with a gold-standard motion capture system in patients with parkinson’s disease
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0726389a06744637b15e422490f2b15e
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Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease

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