In this section
@article{Barsakcioglu:2020:10.1109/tbme.2020.3001942,
author = {Barsakcioglu, DY and Bracklein, M and Holobar, A and Farina, D},
doi = {10.1109/tbme.2020.3001942},
journal = {IEEE Transactions on Biomedical Engineering},
pages = {926--935},
title = {Control of spinal motoneurons by feedback from a non-invasive real-time interface},
url = {http://dx.doi.org/10.1109/tbme.2020.3001942},
volume = {68},
year = {2020}
}
TY - JOUR
AB - Interfacing with human neural cells during natural tasks provides the means for investigating the working principles of the central nervous system and for developing human-machine interaction technologies. Here we present a computationally efficient non-invasive, real-time interface based on the decoding of the activity of spinal motoneurons from wearable high-density electromyogram (EMG) sensors. We validate this interface by comparing its decoding results with those obtained with invasive EMG sensors and offline decoding, as reference. Moreover, we test the interface in a series of studies involving real-time feedback on the behavior of a relatively large number of decoded motoneurons. The results on accuracy, intuitiveness, and stability of control demonstrate the possibility of establishing a direct non-invasive interface with the human spinal cord without the need for extensive training. Moreover, in a control task, we show that the accuracy in control of the proposed neural interface may approach that of the natural control of force. These results are the first that demonstrate the feasibility and validity of a non-invasive direct neural interface with the spinal cord, with wearable systems and matching the neural information flow of natural movements.
AU - Barsakcioglu,DY
AU - Bracklein,M
AU - Holobar,A
AU - Farina,D
DO - 10.1109/tbme.2020.3001942
EP - 935
PY - 2020///
SN - 0018-9294
SP - 926
TI - Control of spinal motoneurons by feedback from a non-invasive real-time interface
T2 - IEEE Transactions on Biomedical Engineering
UR - http://dx.doi.org/10.1109/tbme.2020.3001942
UR - https://ieeexplore.ieee.org/document/9115883
UR - http://hdl.handle.net/10044/1/85699
VL - 68
ER -