Measuring highly accurate foot position and angle trajectories with foot-mounted IMUs in clinical practice.

Digital health Foot motion estimation Foot-mounted Gait assessment Inertial sensor Wearable sensor systems

Journal

Gait & posture
ISSN: 1879-2219
Titre abrégé: Gait Posture
Pays: England
ID NLM: 9416830

Informations de publication

Date de publication:
04 Nov 2023
Historique:
received: 30 03 2023
revised: 19 10 2023
accepted: 01 11 2023
medline: 22 11 2023
pubmed: 22 11 2023
entrez: 21 11 2023
Statut: aheadofprint

Résumé

Gait analysis using foot-mounted IMUs is a promising method to acquire gait parameters outside of laboratory settings and in everyday clinical practice. However, the need for precise sensor attachment or calibration, the requirement of environments with a homogeneous magnetic field, and the limited applicability to pathological gait patterns still pose challenges. Furthermore, in previously published work, the measurement accuracy of such systems is often only validated for specific points in time or in a single plane. This study investigates the measurement accuracy of a gait analysis method based on foot-mounted IMUs in the acquisition of the foot motion, i.e., position and angle trajectories of the foot in the sagittal, frontal, and transversal plane over the entire gait cycle. A comparison of the proposed method with an optical motion capture system showed an average RMSE of 0.67° for pitch, 0.63° for roll and 1.17° for yaw. For position trajectories, an average RMSE of 0.51 cm for vertical lift and 0.34 cm for lateral shift was found. The measurement error of the IMU-based method is found to be much smaller than the deviations caused by the shoes. The proposed method is found to be sufficiently accurate for clinical practice. It does not require precise mounting, special calibration movements, or magnetometer data, and shows no difference in measurement accuracy between normal and pathological gait. Therefore, it provides an easy-to-use alternative to optical motion capture and facilitates gait analysis independent of laboratory settings.

Sections du résumé

BACKGROUND BACKGROUND
Gait analysis using foot-mounted IMUs is a promising method to acquire gait parameters outside of laboratory settings and in everyday clinical practice. However, the need for precise sensor attachment or calibration, the requirement of environments with a homogeneous magnetic field, and the limited applicability to pathological gait patterns still pose challenges. Furthermore, in previously published work, the measurement accuracy of such systems is often only validated for specific points in time or in a single plane.
RESEARCH QUESTION OBJECTIVE
This study investigates the measurement accuracy of a gait analysis method based on foot-mounted IMUs in the acquisition of the foot motion, i.e., position and angle trajectories of the foot in the sagittal, frontal, and transversal plane over the entire gait cycle.
RESULTS RESULTS
A comparison of the proposed method with an optical motion capture system showed an average RMSE of 0.67° for pitch, 0.63° for roll and 1.17° for yaw. For position trajectories, an average RMSE of 0.51 cm for vertical lift and 0.34 cm for lateral shift was found. The measurement error of the IMU-based method is found to be much smaller than the deviations caused by the shoes.
SIGNIFICANCE CONCLUSIONS
The proposed method is found to be sufficiently accurate for clinical practice. It does not require precise mounting, special calibration movements, or magnetometer data, and shows no difference in measurement accuracy between normal and pathological gait. Therefore, it provides an easy-to-use alternative to optical motion capture and facilitates gait analysis independent of laboratory settings.

Identifiants

pubmed: 37988888
pii: S0966-6362(23)01482-0
doi: 10.1016/j.gaitpost.2023.11.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

63-69

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: A.J. Jocham was employed by Tyromotion GmbH (Graz, Austria) prior to data collection for this work. Other authors declare no conflict of interest.

Auteurs

Andreas J Jocham (AJ)

Institute of Physiotherapy, FH JOANNEUM University of Applied Sciences, Graz, Austria. Electronic address: andreas.jocham@fh-joanneum.at.

Daniel Laidig (D)

Control Systems Group, Technische Universität Berlin, Berlin, Germany.

Bernhard Guggenberger (B)

Institute of Physiotherapy, FH JOANNEUM University of Applied Sciences, Graz, Austria; Department of Orthopaedics and Trauma, Medical University of Graz, Graz, Austria.

Thomas Seel (T)

Institute of Mechatronic Systems, Leibniz Universität Hannover, Hannover, Germany.

Classifications MeSH