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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

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: Jakob, Verena, Küderle, Arne, Kluge, Felix, Klucken, Jochen, Eskofier, Bjoern M., Winkler, Jürgen, Winterholler, Martin, Gassner, Heiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623101/
https://www.ncbi.nlm.nih.gov/pubmed/34833755
http://dx.doi.org/10.3390/s21227680
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author Jakob, Verena
Küderle, Arne
Kluge, Felix
Klucken, Jochen
Eskofier, Bjoern M.
Winkler, Jürgen
Winterholler, Martin
Gassner, Heiko
author_facet Jakob, Verena
Küderle, Arne
Kluge, Felix
Klucken, Jochen
Eskofier, Bjoern M.
Winkler, Jürgen
Winterholler, Martin
Gassner, Heiko
author_sort Jakob, Verena
collection PubMed
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 (n = 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 (p > 0.05). In contrast, heel strike, toe off and toe clearance significantly differed between both systems (p < 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.
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spelling pubmed-86231012021-11-27 Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease Jakob, Verena Küderle, Arne Kluge, Felix Klucken, Jochen Eskofier, Bjoern M. Winkler, Jürgen Winterholler, Martin Gassner, Heiko Sensors (Basel) Article 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 (n = 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 (p > 0.05). In contrast, heel strike, toe off and toe clearance significantly differed between both systems (p < 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. MDPI 2021-11-18 /pmc/articles/PMC8623101/ /pubmed/34833755 http://dx.doi.org/10.3390/s21227680 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
Jakob, Verena
Küderle, Arne
Kluge, Felix
Klucken, Jochen
Eskofier, Bjoern M.
Winkler, Jürgen
Winterholler, Martin
Gassner, Heiko
Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson’s Disease
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623101/
https://www.ncbi.nlm.nih.gov/pubmed/34833755
http://dx.doi.org/10.3390/s21227680
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