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A multi-sensor wearable system for the assessment of diseased gait in real-world conditions

Authors :
Francesca Salis
Stefano Bertuletti
Tecla Bonci
Marco Caruso
Kirsty Scott
Lisa Alcock
Ellen Buckley
Eran Gazit
Clint Hansen
Lars Schwickert
Kamiar Aminian
Clemens Becker
Philip Brown
Anne-Elie Carsin
Brian Caulfield
Lorenzo Chiari
Ilaria D’Ascanio
Silvia Del Din
Bjoern M. Eskofier
Judith Garcia-Aymerich
Jeffrey M. Hausdorff
Emily C. Hume
Cameron Kirk
Felix Kluge
Sarah Koch
Arne Kuederle
Walter Maetzler
Encarna M. Micó-Amigo
Arne Mueller
Isabel Neatrour
Anisoara Paraschiv-Ionescu
Luca Palmerini
Alison J. Yarnall
Lynn Rochester
Basil Sharrack
David Singleton
Beatrix Vereijken
Ioannis Vogiatzis
Ugo Della Croce
Claudia Mazzà
Andrea Cereatti
for the Mobilise-D consortium
Source :
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

Introduction: Accurately assessing people’s gait, especially in real-world conditions and in case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in gait complexity. To improve the estimation of gait-related digital mobility outcomes (DMOs) in real-world scenarios, this study presents a wearable multi-sensor system (INDIP), integrating complementary sensing approaches (two plantar pressure insoles, three inertial units and two distance sensors).Methods: The INDIP technical validity was assessed against stereophotogrammetry during a laboratory experimental protocol comprising structured tests (including continuous curvilinear and rectilinear walking and steps) and a simulation of daily-life activities (including intermittent gait and short walking bouts). To evaluate its performance on various gait patterns, data were collected on 128 participants from seven cohorts: healthy young and older adults, patients with Parkinson’s disease, multiple sclerosis, chronic obstructive pulmonary disease, congestive heart failure, and proximal femur fracture. Moreover, INDIP usability was evaluated by recording 2.5-h of real-world unsupervised activity.Results and discussion: Excellent absolute agreement (ICC >0.95) and very limited mean absolute errors were observed for all cohorts and digital mobility outcomes (cadence ≤0.61 steps/min, stride length ≤0.02 m, walking speed ≤0.02 m/s) in the structured tests. Larger, but limited, errors were observed during the daily-life simulation (cadence 2.72–4.87 steps/min, stride length 0.04–0.06 m, walking speed 0.03–0.05 m/s). Neither major technical nor usability issues were declared during the 2.5-h acquisitions. Therefore, the INDIP system can be considered a valid and feasible solution to collect reference data for analyzing gait in real-world conditions.

Details

Language :
English
ISSN :
22964185
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Frontiers in Bioengineering and Biotechnology
Publication Type :
Academic Journal
Accession number :
edsdoj.4d92ac01542491d8664ed4c81c5eed9
Document Type :
article
Full Text :
https://doi.org/10.3389/fbioe.2023.1143248