@article{ref1,
title="A sensor fusion approach for inertial sensors based 3D kinematics and pathological gait assessments: toward an adaptive control of stimulation in post-stroke subjects",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2018",
author="Sijobert, B. and Feuvrier, F. and Froger, J. and Guiraud, D. and Coste, C. Azevedo",
volume="2018",
number="",
pages="3497-3500",
abstract="Pathological gait assessment and assistive control based on functional electrical stimulation (FES) in post-stroke individuals, brings out a common need to robustly quantify kinematics facing multiple constraints. This study proposes a novel approach using inertial sensors to compute dorsiflexion angles and spatio-temporal parameters, in order to be later used as inputs for online close-loop control of FES. 26 post-stroke subjects were asked to walk on a pressure mat equipped with inertial measurement units (IMU) and passive reflective markers. A total of 930 strides were individually analyzed and results between IMU-based algorithms and reference systems compared. Mean absolute (MA) errors of dorsiflexion angles were found to be less than 4°, while stride lengths were robustly segmented and estimated with a MA error less than 10 cm. These results open new doors to rehabilitation using adaptive FES closed-loop control strategies in &quot;foot drop&quot; syndrome correction.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="10.1109/EMBC.2018.8512985",
url="http://dx.doi.org/10.1109/EMBC.2018.8512985"
}