Adaptive Method for Detecting Zero-Velocity Regions to Quantify Stride-to-Stride Spatial Gait Parameters using Inertial Sensors

Mohamed Boutaayamou, Mohamed Boutaayamou, Cédric Schwartz, Laura Joris, Bénédicte Forthomme, Vincent Denoël, Jean-Louis Croisier, Jacques G. Verly, Gaëtan Garraux, Olivier Brüls

2019

Abstract

We present a new adaptive method that robustly detects zero-velocity regions to accurately and precisely quantify (1) individual stride lengths (SLs), (2) individual stride velocities (SVs), (3) the average of SL, (4) the average of SV, and (5) the cadence during slow, normal, and fast overground walking conditions in young and healthy people. The measurements involved in the estimation of these spatial gait parameters are obtained using only one inertial measurement unit attached on a regular shoe at the level of the heel. This adaptive method reduced the integration drifts across consecutive strides and improved the accuracy and precision in the spatial gait parameter estimation. The validation of the proposed algorithm has been carried out using reference spatial gait parameters obtained from a kinematic reference system. The accuracy ± precision results were for SLs: 0.0 ± 4.7 cm, −0.7 ± 4.4 cm, and −5.8 ± 5.8 cm, during slow, normal, and fast walking conditions, respectively, corresponding to −0.1 ± 4.2 %, −0.5 ± 3.2 %, and −3.3 ± 3.0 % of the respective mean SL. The accuracy ± precision results were for SVs: 0.0 ± 2.9 cm/s, −0.7 ± 3.8 cm/s, and −6.7 ± 6.7 cm/s, during slow, normal, and fast walking conditions, respectively, corresponding to −0.6 ± 3.3 %, −0.1 ± 4.5 %, and −3.5 ± 3.1 % of the respective mean SV. These validation results show a good agreement between the proposed method and the reference, and demonstrate a fairly accurate and precise estimation of these spatial gait parameters. The proposed method paves the way for an objective quantification of spatial gait parameters in routine clinical practice.

Paper Citation

in Harvard Style

Boutaayamou M., Schwartz C., Joris L., Forthomme B., Denoël V., Croisier J., Verly J., Garraux G. and Brüls O. (2019). Adaptive Method for Detecting Zero-Velocity Regions to Quantify Stride-to-Stride Spatial Gait Parameters using Inertial Sensors. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS; ISBN 978-989-758-353-7, SciTePress, pages 229-236. DOI: 10.5220/0007576002290236

in Bibtex Style

@conference{biosignals19,
author={Mohamed Boutaayamou and Cédric Schwartz and Laura Joris and Bénédicte Forthomme and Vincent Denoël and Jean-Louis Croisier and Jacques G. Verly and Gaëtan Garraux and Olivier Brüls},
title={Adaptive Method for Detecting Zero-Velocity Regions to Quantify Stride-to-Stride Spatial Gait Parameters using Inertial Sensors},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS},
year={2019},
pages={229-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007576002290236},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS
TI - Adaptive Method for Detecting Zero-Velocity Regions to Quantify Stride-to-Stride Spatial Gait Parameters using Inertial Sensors
SN - 978-989-758-353-7
AU - Boutaayamou M.
AU - Schwartz C.
AU - Joris L.
AU - Forthomme B.
AU - Denoël V.
AU - Croisier J.
AU - Verly J.
AU - Garraux G.
AU - Brüls O.
PY - 2019
SP - 229
EP - 236
DO - 10.5220/0007576002290236
PB - SciTePress