Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson's Disease.
Parkinson’s disease
inertial sensors
machine learning algorithm
spatiotemporal gait parameters
three-dimensional gait analysis
wearables
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
18 Nov 2021
18 Nov 2021
Historique:
received:
27
10
2021
revised:
15
11
2021
accepted:
16
11
2021
entrez:
27
11
2021
pubmed:
28
11
2021
medline:
1
12
2021
Statut:
epublish
Résumé
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 (
Identifiants
pubmed: 34833755
pii: s21227680
doi: 10.3390/s21227680
pmc: PMC8623101
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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