Principal components analysis of postural sway in persons with unilateral lower limb amputation: A wearable sensor approach.

Accelerometer Balance Center of mass IMU Limb loss Postural control Posturography Sensors Sway

Journal

Journal of biomechanics
ISSN: 1873-2380
Titre abrégé: J Biomech
Pays: United States
ID NLM: 0157375

Informations de publication

Date de publication:
09 2023
Historique:
received: 16 12 2022
revised: 23 07 2023
accepted: 16 08 2023
medline: 25 9 2023
pubmed: 26 8 2023
entrez: 25 8 2023
Statut: ppublish

Résumé

Standing sway assessments can detect sensory imbalances which compromise postural control. Persons with lower limb amputation (LLA) often demonstrate impaired postural control, increasing fall risk. Here, principal features of postural sway were identified in persons with unilateral LLA using a single, commercially available wearable sensor. Sixty-one persons with LLA (n = 44 transtibial; n = 17 transfemoral) stood on a firm surface with eyes open/closed while wearing a single accelerometer mounted over the sacrum. Common parameters quantified spatiotemporal and spectral features of sway in anterior-posterior (AP) and mediolateral (ML) directions. Principal component (PC) dimensionality reduction was applied and loadings inspected to identify a reduced, non-redundant set among 14 original variables capturing 90 % variance. Six PCs described ≥ 90 % variance, with the first 3 explaining 75 %. With eyes open and closed, PC1 was loaded by variables characterizing trajectory planar size: area, jerk (i.e., sway smoothness), AP/ML RMS path distance, and AP/ML path range. With eyes open, PC2 was loaded by variables characterizing direction and spectral features: ellipse rotation, AP centroidal frequency, and ML jerk. With eyes closed, PC2 spectral loadings increased: ML centroidal frequency, ML frequency dispersion, and AP centroidal frequency. With eyes open, PC3 was loaded by ellipse rotation, jerk, ML velocity, ML centroidal frequency. With eyes closed, PC3 was loaded by ellipse rotation, ML centroidal frequency, ML frequency dispersion, and AP path velocity, characterizing off-axis error/corrections. RMS of path distance, ellipse rotation, centroidal frequency, frequency dispersion, path velocity, and jerk are a concise parameter set, derived from an accelerometer, to capture principal sway features in persons with LLA during standing balance with visual perturbations.

Identifiants

pubmed: 37625201
pii: S0021-9290(23)00338-X
doi: 10.1016/j.jbiomech.2023.111768
pii:
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

111768

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Courtney Butowicz (C)

Research & Surveillance Division, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA 22042, United States; Department of Rehabilitation, Walter Reed National Military Medical Center, Bethesda, MD 20889, United States; Department of Physical Medicine & Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States. Electronic address: courtney.m.butowicz.civ@health.mil.

Adam J Yoder (AJ)

Research & Surveillance Division, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA 22042, United States; Department of Physical & Occupational Therapy, Naval Medical Center, San Diego, CA 92134, United States.

Brad D Hendershot (BD)

Research & Surveillance Division, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA 22042, United States; Department of Rehabilitation, Walter Reed National Military Medical Center, Bethesda, MD 20889, United States; Department of Physical Medicine & Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States.

Brittney Gunterstockman (B)

Research & Surveillance Division, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA 22042, United States; Department of Physical & Occupational Therapy, Naval Medical Center, San Diego, CA 92134, United States; Department of Physical Therapy, Lincoln Memorial University, Knoxville, TN 37932, United States.

Shawn Farrokhi (S)

Research & Surveillance Division, Extremity Trauma and Amputation Center of Excellence, Defense Health Agency, Falls Church, VA 22042, United States; Department of Physical Medicine & Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States; Department of Physical & Occupational Therapy, Naval Medical Center, San Diego, CA 92134, United States.

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Classifications MeSH