RT info:eu-repo/semantics/conferenceObject
T1 Segmentation of stairs ascent and descent for neuroprosthetic motor control
A1 Fretes, Alexis
A1 Prieto, Luis
A1 Teruel, Martín
A1 Clemotte, Ulisses
A1 Brunetti, Fernando Javier
K1 Heuristic algorithms
K1 Medical treatment
K1 Motor drives
K1 Muscles
K1 Neuroprostheses
K1 Pathology
K1 Stairs
AB The work presents the development of a segmentation algorithm for stairs ascent and descent. The algorithm is based on a Finite State Machine that uses leg angular position and linear acceleration in order in the sagittal plane to detect 4 different subphases of each activity. The algorithm was implemented in a neuroprosthetic device and was validated in realtime with 6 healthy subjects and different negotiating speeds. This type of algorithm allows motor neuroprostheses to stimulate muscle groups properly in order to assist motor tasks during daily life activities or rehabilitation therapies.
PB Institute of Electrical and Electronics Engineers
SN 978-1-7281-1179-7
YR 2021
FD 2021-12-09
LK http://hdl.handle.net/20.500.14066/4520
UL http://hdl.handle.net/20.500.14066/4520
LA eng
NO Fretes, A., Prieto, L., Teruel, M., Clemotte, U., & Brunetti, F. (2021, 01-05 de noviembre). Segmentation of stairs ascent and descent for neuroprosthetic motor control [Artículo de la Conferencia]. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Ciudad de México, México. https://doi.org/10.1109/EMBC46164.2021.9630104
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 05-feb-2025