Article (Scientific journals)
Toward Convenient and Accurate IMU-Based Gait Analysis.
Boutaayamou, Mohamed; Pelzer, Doriane; Schwartz, Cédric et al.
2025In Sensors, 25 (4), p. 1267
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Keywords :
accelerometers; gait analysis; gyroscopes; inertial sensors; reference data; signal-processing algorithms; spatiotemporal parameters; Gait Analysis/methods; Gait/physiology
Abstract :
[en] While inertial measurement unit (IMU)-based systems have shown their potential in quantifying medically significant gait parameters, it remains to be determined whether they can provide accurate and reliable parameters both across various walking conditions and in healthcare settings. Using an IMU-based system we previously developed, with one IMU module on each subject's heel, we quantify the gait parameters of 55 men and 46 women, all healthy and aged 40-65, in normal, dual-task, and fast walking conditions. We evaluate their intra-session reliability, and we establish a new reference database of such parameters showing good to excellent reliability. ICC(2,1) assesses relative reliability, while SEM% and MDC% assess absolute reliability. The reliability is excellent for all spatiotemporal gait parameters and the stride length (SL) symmetry ratio (ICC ≥ 0.90, SEM% ≤ 4.5%, MDC% ≤ 12.4%) across all conditions. It is good to excellent for the fast walking performance (FWP) indices of stride (Sr), stance (Sa), double-support (DS), and step (St) times; gait speed (GS); and the GS normalized to leg length (GSn1) and body height (GSn2) (ICC ≥ 0.91, |SEM%| ≤ 10.0%, |MDC%| ≤ 27.6%). Men have a higher swing time (Sw) and SL across all conditions. The following parameters are gender-independent: (1) Sa, DS, GSn1, GSn2; (2) the symmetry ratios of SL and GS, as well as Sa% and Sw% (representing Sa and Sw as percentages of Sr); and (3) the FWPs of Sr, Sa, Sw, DS, St, cadence, Sa% and Sw%. Our results provide reference values with new insights into gender FWP comparisons rarely reported in the literature. The advantages and reliability of our IMU-based system make it suitable in medical applications such as prosthetic evaluation, fall risk assessment, and rehabilitation.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Boutaayamou, Mohamed  ;  Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Pelzer, Doriane  ;  Université de Liège - ULiège > Département des Sciences de l'activité physique et de la réadaptation
Schwartz, Cédric  ;  Université de Liège - ULiège > Unités de recherche interfacultaires > Motion analysis research unit (MARU)
Gillain, Sophie  ;  Université de Liège - ULiège > Département des sciences cliniques > Gériatrie
Garraux, Gaëtan  ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques > Biochimie et physiologie du système nerveux
Croisier, Jean-Louis  ;  Université de Liège - ULiège > Département des Sciences de l'activité physique et de la réadaptation > Kinésithérapie générale et réadaptation
Verly, Jacques ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore)
Bruls, Olivier  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire des Systèmes Multicorps et Mécatroniques
Language :
English
Title :
Toward Convenient and Accurate IMU-Based Gait Analysis.
Publication date :
19 February 2025
Journal title :
Sensors
ISSN :
1424-8220
eISSN :
1424-3210
Publisher :
MDPI, Switzerland
Volume :
25
Issue :
4
Pages :
1267
Peer reviewed :
Peer Reviewed verified by ORBi
Development Goals :
3. Good health and well-being
Funders :
ERDF - European Regional Development Fund
ULiège - University of Liège
Funding text :
This work is part of (1) a project supported by European Regional Development Fund, and (2) the SyMPA project funded by the ARC-2021 program of the University of Liège, Belgium.
Available on ORBi :
since 26 February 2025

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