Are Gait Patterns during In-Lab Running Representative of Gait Patterns during Real-World Training? An Experimental Study.
biomechanics
depth statistics
free-living gait
unsupervised learning
wearable technology
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
01 May 2024
01 May 2024
Historique:
received:
10
02
2024
revised:
22
04
2024
accepted:
26
04
2024
medline:
11
5
2024
pubmed:
11
5
2024
entrez:
11
5
2024
Statut:
epublish
Résumé
Biomechanical assessments of running typically take place inside motion capture laboratories. However, it is unclear whether data from these in-lab gait assessments are representative of gait during real-world running. This study sought to test how well real-world gait patterns are represented by in-lab gait data in two cohorts of runners equipped with consumer-grade wearable sensors measuring speed, step length, vertical oscillation, stance time, and leg stiffness. Cohort 1 (
Identifiants
pubmed: 38732998
pii: s24092892
doi: 10.3390/s24092892
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : American Society of Biomechanics
ID : n/a
Organisme : American College of Sports Medicine Foundation, World Athletics Research Grant
ID : n/a