In this section
@article{Nowak:2023:10.1109/TBME.2022.3194104,
author = {Nowak, M and Vujaklija, I and Sturma, A and Castellini, C and Farina, D},
doi = {10.1109/TBME.2022.3194104},
journal = {IEEE Transactions on Biomedical Engineering},
pages = {459--469},
title = {Simultaneous and proportional real-time myocontrol of up to three degrees of freedom of the wrist and hand},
url = {http://dx.doi.org/10.1109/TBME.2022.3194104},
volume = {70},
year = {2023}
}
TY - JOUR
AB - Achieving robust, intuitive, simultaneous and proportional control over multiple degrees of freedom (DOFs) is an outstanding challenge in the development of myoelectric prosthetic systems. Since the priority inmyoelectric prosthesis solutions is robustness and stability, their number of functions is usually limited. Objective: Here, we introduce a system for intuitive concurrent hand and wrist control, based on a robust feature-extraction protocol and machine-learning. Methods: Using the meanabsolute value of high-density EMG, we train a ridge-regressor (RR) on only the sustained portions of the single-DOF contractions and leverage the regressor’s inherent ability to provide simultaneous multi-DOF estimates. In this way, we robustly capture the amplitude information of the inputs while harnessing the power of the RR to extrapolate otherwise noisy and often overfitted estimations of dynamic portions of movements. Results: The real-time evaluation of the system on 13 able-bodied participants and an amputee shows that almost all single-DOF tasks could be reached (96% success rate), while at the same time users were able to complete most of the two-DOF (62%) and even some of the very challenging three-DOF tasks (37%). To further investigate the translational potential of the approach, we reduced the original 192-channel setup to a 16-channel configuration and the observed performance did not deteriorate. Notably, the amputee performed similarly well to the other participants, according to all considered metrics. Conclusion: This is the first real-time operated myocontrol system that consistently provides intuitive simultaneous and proportional control over 3-DOFs of wrist and hand, relying on only surface EMG signals from the orearm. Significance: Focusing on reduced complexity, a real-time test and the inclusion of an amputee in the study demonstrate the translational potential of the control system for future applications in prosthetic control.
AU - Nowak,M
AU - Vujaklija,I
AU - Sturma,A
AU - Castellini,C
AU - Farina,D
DO - 10.1109/TBME.2022.3194104
EP - 469
PY - 2023///
SN - 0018-9294
SP - 459
TI - Simultaneous and proportional real-time myocontrol of up to three degrees of freedom of the wrist and hand
T2 - IEEE Transactions on Biomedical Engineering
UR - http://dx.doi.org/10.1109/TBME.2022.3194104
UR - https://ieeexplore.ieee.org/document/9840881
UR - http://hdl.handle.net/10044/1/98557
VL - 70
ER -