In this section
@article{Dimitrov:2020:10.1109/TNSRE.2020.2986787,
author = {Dimitrov, H and Bull, AMJ and Farina, D},
doi = {10.1109/TNSRE.2020.2986787},
journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
pages = {1416--1427},
title = {Real-time interface algorithm for ankle kinematics and stiffness from electromyographic signals},
url = {http://dx.doi.org/10.1109/TNSRE.2020.2986787},
volume = {28},
year = {2020}
}
TY - JOUR
AB - Shortcomings in capabilities of below-knee (transtibial) prostheses, compared to their biological counterparts, still cause medical complications and functional deficit to millions of amputees around the world. Although active (powered actuation) transtibial prostheses have the potential to bridge these gaps, the current control solutions limit their efficacy. Here we describe the development of a novel interface for two degrees-of-freedom position and stiffness control for below-knee amputees. The developed algorithm for the interface relies entirely on muscle electrical signals from the lower leg. The algorithm was tested for voluntary position and stiffness control in eight able-bodied and two transtibial amputees and for voluntary stiffness control with foot position estimation while walking in eight able-bodied and one transtibial amputee. The results of the voluntary control experiment demonstrated a promising target reaching success rate, higher for amputees compared to the able-bodied individuals (82.5% and 72.5% compared to 72.5% and 68.1% for the position and position and stiffness matching tasks respectively). Further, the algorithm could provide the means to control four stiffness levels during walking in both amputee and able-bodied individuals while providing estimates of foot kinematics (gait cycle cross-correlation >75% for the sagittal and >90% for the frontal plane and gait cycle root mean square error <7.5° in sagittal and <3° in frontal plane for able-bodied and amputee individuals across three walking speeds). The results from the two experiments demonstrate the feasibility of using this novel algorithm for online control of multiple degrees of freedom and of their stiffness in lower limb prostheses.
AU - Dimitrov,H
AU - Bull,AMJ
AU - Farina,D
DO - 10.1109/TNSRE.2020.2986787
EP - 1427
PY - 2020///
SN - 1534-4320
SP - 1416
TI - Real-time interface algorithm for ankle kinematics and stiffness from electromyographic signals
T2 - IEEE Transactions on Neural Systems and Rehabilitation Engineering
UR - http://dx.doi.org/10.1109/TNSRE.2020.2986787
UR - https://ieeexplore.ieee.org/document/9062607
UR - http://hdl.handle.net/10044/1/79134
VL - 28
ER -
Centre Manager
Kate Hobson
Email: k.hobson@imperial.ac.uk
