Cargando…

Wearables for running gait analysis: A study protocol

Quantitative running gait analysis is an important tool that provides beneficial outcomes to injury risk/recovery or performance assessment. Wearable devices have allowed running gait to be evaluated in any environment (i.e., laboratory or real-world settings), yet there are a plethora of different...

Descripción completa

Detalles Bibliográficos
Autores principales: Mason, Rachel, Godfrey, Alan, Barry, Gillian, Stuart, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495009/
https://www.ncbi.nlm.nih.gov/pubmed/37695752
http://dx.doi.org/10.1371/journal.pone.0291289
_version_ 1785104811997265920
author Mason, Rachel
Godfrey, Alan
Barry, Gillian
Stuart, Samuel
author_facet Mason, Rachel
Godfrey, Alan
Barry, Gillian
Stuart, Samuel
author_sort Mason, Rachel
collection PubMed
description Quantitative running gait analysis is an important tool that provides beneficial outcomes to injury risk/recovery or performance assessment. Wearable devices have allowed running gait to be evaluated in any environment (i.e., laboratory or real-world settings), yet there are a plethora of different grades of devices (i.e., research-grade, commercial, or novel multi-modal) available with little information to make informed decisions on selection. This paper outlines a protocol that will examine different grades of wearables for running gait analysis in healthy individuals. Specifically, this pilot study will: 1) examine analytical validity and reliability of wearables (research-grade, commercial, high-end multimodal) within a controlled laboratory setting; 2) examine analytical validation of different grades of wearables in a real-world setting, and 3) explore clinical validation and usability of wearables for running gait analysis (e.g., injury history (previously injured, never injured), performance level (novice, elite) and relationship to meaningful outcomes). The different grades of wearable include: (1) A research-grade device, the Ax6 consists of a configurable tri-axial accelerometer and tri-axial gyroscope with variable sampling capabilities; (2) attainable (low-grade) commercial with proprietary software, the DorsaVi ViMove2 consisting of two, non-configurable IMUs modules, with a fixed sampling rate and (3) novel multimodal high-end system, the DANU Sports System that is a pair of textile socks, that contain silicone based capacitive pressure sensors, and configurable IMU modules with variable sampling rates. Clinical trial registration: Trial registration: NCT05277181.
format Online
Article
Text
id pubmed-10495009
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-104950092023-09-12 Wearables for running gait analysis: A study protocol Mason, Rachel Godfrey, Alan Barry, Gillian Stuart, Samuel PLoS One Study Protocol Quantitative running gait analysis is an important tool that provides beneficial outcomes to injury risk/recovery or performance assessment. Wearable devices have allowed running gait to be evaluated in any environment (i.e., laboratory or real-world settings), yet there are a plethora of different grades of devices (i.e., research-grade, commercial, or novel multi-modal) available with little information to make informed decisions on selection. This paper outlines a protocol that will examine different grades of wearables for running gait analysis in healthy individuals. Specifically, this pilot study will: 1) examine analytical validity and reliability of wearables (research-grade, commercial, high-end multimodal) within a controlled laboratory setting; 2) examine analytical validation of different grades of wearables in a real-world setting, and 3) explore clinical validation and usability of wearables for running gait analysis (e.g., injury history (previously injured, never injured), performance level (novice, elite) and relationship to meaningful outcomes). The different grades of wearable include: (1) A research-grade device, the Ax6 consists of a configurable tri-axial accelerometer and tri-axial gyroscope with variable sampling capabilities; (2) attainable (low-grade) commercial with proprietary software, the DorsaVi ViMove2 consisting of two, non-configurable IMUs modules, with a fixed sampling rate and (3) novel multimodal high-end system, the DANU Sports System that is a pair of textile socks, that contain silicone based capacitive pressure sensors, and configurable IMU modules with variable sampling rates. Clinical trial registration: Trial registration: NCT05277181. Public Library of Science 2023-09-11 /pmc/articles/PMC10495009/ /pubmed/37695752 http://dx.doi.org/10.1371/journal.pone.0291289 Text en © 2023 Mason et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Study Protocol
Mason, Rachel
Godfrey, Alan
Barry, Gillian
Stuart, Samuel
Wearables for running gait analysis: A study protocol
title Wearables for running gait analysis: A study protocol
title_full Wearables for running gait analysis: A study protocol
title_fullStr Wearables for running gait analysis: A study protocol
title_full_unstemmed Wearables for running gait analysis: A study protocol
title_short Wearables for running gait analysis: A study protocol
title_sort wearables for running gait analysis: a study protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495009/
https://www.ncbi.nlm.nih.gov/pubmed/37695752
http://dx.doi.org/10.1371/journal.pone.0291289
work_keys_str_mv AT masonrachel wearablesforrunninggaitanalysisastudyprotocol
AT godfreyalan wearablesforrunninggaitanalysisastudyprotocol
AT barrygillian wearablesforrunninggaitanalysisastudyprotocol
AT stuartsamuel wearablesforrunninggaitanalysisastudyprotocol