Comparison of IMU set-ups for the estimation of gait spatio-temporal parameters in an elderly population.

Gait accuracy healthy elderly population inertial sensors spatio-temporal parameters

Journal

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
ISSN: 2041-3033
Titre abrégé: Proc Inst Mech Eng H
Pays: England
ID NLM: 8908934

Informations de publication

Date de publication:
Jan 2023
Historique:
pubmed: 16 11 2022
medline: 14 1 2023
entrez: 15 11 2022
Statut: ppublish

Résumé

The increasing average age emphasizes the importance of gait analysis in elderly populations. Inertial Measurement Units (IMUs) represent a suitable wearable technology for the characterization of gait by estimating spatio-temporal parameters (STPs). However, the location of inertial sensors on the human body and the associated algorithms for the estimation of gait STPs play a fundamental role and are still open challenges. Accordingly, the aim of this work was to compare three IMUs set-ups (trunk, shanks, and ankles) and correspondent algorithms to a gold standard optoelectronic system for the estimation of gait STPs in a healthy elderly population. In total, 14 healthy elderly subjects walked barefoot at three different speeds. Gait parameters were assessed for each IMUs set-up and compared to those estimated with the gold standard. A statistical analysis based on Pearson correlation, Root Mean Square Error and Bland Altman plots was conducted to evaluate the accuracy of IMUs. Even though all tested set-ups produced accurate results, the IMU on the trunk performed better in terms of correlation (

Identifiants

pubmed: 36377588
doi: 10.1177/09544119221135051
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

61-73

Auteurs

Elisa Digo (E)

Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
PoliToBIOMedLab of Politecnico di Torino, Turin, Italy.

Elisa Panero (E)

Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.

Valentina Agostini (V)

PoliToBIOMedLab of Politecnico di Torino, Turin, Italy.
Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.

Laura Gastaldi (L)

Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
PoliToBIOMedLab of Politecnico di Torino, Turin, Italy.

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Classifications MeSH