Gait Phases Detection in Elderly using Trunk-MIMU System

Elisa Digo, Valentina Agostini, Stefano Pastorelli, Laura Gastaldi, Elisa Panero

2021

Abstract

The increasing interest towards wearable Magnetic Inertial Measurement Units (MIMUs) for gait analysis is justified by their low invasiveness, confirmed repeatability and complete independence from laboratory constraints. However, some crucial doubts about the identification of a suitable sensor set-up and algorithm in different gait conditions and populations still exist. In this context, the principal aim of the present study was to investigate the effect of different walking conditions on the accuracy of gait phases detection with a trunk-MIMU system. Eleven healthy elderly subjects performed gait trials in four different walking conditions (fast speed, normal speed, slow speed and normal speed with dual-task). A stereophotogrammetric system was adopted as gold standard. The accuracy of the estimation of stance and swing phases was evaluated from the comparison of trunk-MIMU to the stereophotogrammetric system. Mean error values smaller than 0.03 s confirmed the accuracy of the trunk-MIMU algorithm for an elderly population. Consequently, trunk-MIMU system can be considered suitable for the characterization of gait phases in elderly subjects regardless of walking conditions.

Paper Citation

in Harvard Style

Digo E., Agostini V., Pastorelli S., Gastaldi L. and Panero E. (2021). Gait Phases Detection in Elderly using Trunk-MIMU System. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 1: BIODEVICES; ISBN 978-989-758-490-9, SciTePress, pages 58-65. DOI: 10.5220/0010256400002865

in Bibtex Style

@conference{biodevices21,
author={Elisa Digo and Valentina Agostini and Stefano Pastorelli and Laura Gastaldi and Elisa Panero},
title={Gait Phases Detection in Elderly using Trunk-MIMU System},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 1: BIODEVICES},
year={2021},
pages={58-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010256400002865},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 1: BIODEVICES
TI - Gait Phases Detection in Elderly using Trunk-MIMU System
SN - 978-989-758-490-9
AU - Digo E.
AU - Agostini V.
AU - Pastorelli S.
AU - Gastaldi L.
AU - Panero E.
PY - 2021
SP - 58
EP - 65
DO - 10.5220/0010256400002865
PB - SciTePress