Gait Variability to Phenotype Common Orthopedic Gait Impairments Using Wearable Sensors.
gait impairment
gait variability
knee osteoarthritis
lumbar spinal stenosis
wearable IMU sensor
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
29 Nov 2022
29 Nov 2022
Historique:
received:
04
11
2022
revised:
25
11
2022
accepted:
28
11
2022
entrez:
11
12
2022
pubmed:
12
12
2022
medline:
15
12
2022
Statut:
epublish
Résumé
Mobility impairments are a common symptom of age-related degenerative diseases. Gait features can discriminate those with mobility disorders from healthy individuals, yet phenotyping specific pathologies remains challenging. This study aims to identify if gait parameters derived from two foot-mounted inertial measurement units (IMU) during the 6 min walk test (6MWT) can phenotype mobility impairment from different pathologies (Lumbar spinal stenosis (LSS)-neurogenic diseases, and knee osteoarthritis (KOA)-structural joint disease). Bilateral foot-mounted IMU data during the 6MWT were collected from patients with LSS and KOA and matched healthy controls (N = 30, 10 for each group). Eleven gait parameters representing four domains (pace, rhythm, asymmetry, variability) were derived for each minute of the 6MWT. In the entire 6MWT, gait parameters in all four domains distinguished between controls and both disease groups; however, the disease groups demonstrated no statistical differences, with a trend toward higher stride length variability in the LSS group (
Identifiants
pubmed: 36502003
pii: s22239301
doi: 10.3390/s22239301
pmc: PMC9739785
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
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