A Fully Wireless Wearable Motion Tracking System with 3D Human Model for Gait Analysis.

IMU gait analysis interlimb coordination motion tracking wearable devices

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
12 Jun 2021
Historique:
received: 03 05 2021
revised: 09 06 2021
accepted: 10 06 2021
entrez: 2 7 2021
pubmed: 3 7 2021
medline: 7 7 2021
Statut: epublish

Résumé

This paper presents a wearable motion tracking system with recording and playback features. This system has been designed for gait analysis and interlimb coordination studies. It can be implemented to help reduce fall risk and to retrain gait in a rehabilitation setting. Our system consists of ten custom wearable straps, a receiver, and a central computer. Comparing with similar existing solutions, the proposed system is affordable and convenient, which can be used in both indoor and outdoor settings. In the experiment, the system calculates five gait parameters and has the potential to identify deviant gait patterns. The system can track upper body parameters such as arm swing, which has potential in the study of pathological gaits and the coordination of the limbs.

Identifiants

pubmed: 34204656
pii: s21124051
doi: 10.3390/s21124051
pmc: PMC8231225
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Science Foundation
ID : ECCS-1652944

Références

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pubmed: 32377175
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pubmed: 15531171
IEEE J Biomed Health Inform. 2016 Nov;20(6):1521-1537
pubmed: 28113185
Am J Cardiol. 2015 Jul 15;116(2):313-7
pubmed: 25972052
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pubmed: 26079569
JAMA. 2011 Jan 5;305(1):50-8
pubmed: 21205966
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:1571-4
pubmed: 22254622

Auteurs

Kevin Lee (K)

Engineering Physics and Electrical Engineering, New Mexico State University Main Campus, 1125 Frenger Mall, Las Cruces, NM 88003, USA.

Wei Tang (W)

Klipsch School of Electrical and Computer Engineering, New Mexico State University Main Campus, 1125 Frenger Mall, Las Cruces, NM 88003, USA.

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Classifications MeSH