Imperial College London
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ProfessorDarioFarina

Faculty of Engineering, Department of Bioengineering

Chair in Neurorehabilitation Engineering
 
 
 
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Contact

 

+44 (0)20 7594 1387d.farina Website

 
 
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Location

 

RSM 4.15Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Schweisfurth:2016:5/056010,
author = {Schweisfurth, MA and Markovic, M and Dosen, S and Teich, F and Graimann, B and Farina, D},
doi = {5/056010},
journal = {Journal of Neural Engineering},
title = {Electrotactile EMG feedback improves the control of prosthesis grasping force},
url = {http://dx.doi.org/10.1088/1741-2560/13/5/056010},
volume = {13},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - © 2016 IOP Publishing Ltd. Objective. A drawback of active prostheses is that they detach the subject from the produced forces, thereby preventing direct mechanical feedback. This can be compensated by providing somatosensory feedback to the user through mechanical or electrical stimulation, which in turn may improve the utility, sense of embodiment, and thereby increase the acceptance rate. Approach. In this study, we compared a novel approach to closing the loop, namely EMG feedback (emgFB), to classic force feedback (forceFB), using electrotactile interface in a realistic task setup. Eleven intact-bodied subjects and one transradial amputee performed a routine grasping task while receiving emgFB or forceFB. The two feedback types were delivered through the same electrotactile interface, using a mixed spatial/frequency coding to transmit 8 discrete levels of the feedback variable. In emgFB, the stimulation transmitted the amplitude of the processed myoelectric signal generated by the subject (prosthesis input), and in forceFB the generated grasping force (prosthesis output). The task comprised 150 trials of routine grasping at six forces, randomly presented in blocks of five trials (same force). Interquartile range and changes in the absolute error (AE) distribution (magnitude and dispersion) with respect to the target level were used to assess precision and overall performance, respectively. Main results. Relative to forceFB, emgFB significantly improved the precision of myoelectric commands (min/max of the significant levels) for 23%/36% as well as the precision of force control for 12%/32%, in intact-bodied subjects. Also, the magnitude and dispersion of the AE distribution were reduced. The results were similar in the amputee, showing considerable improvements. Significance. Using emgFB, the subjects therefore decreased the uncertainty of the forward pathway. Since there is a correspondence between the EMG and force, where the former anticipates the latte
AU  - Schweisfurth,MA
AU  - Markovic,M
AU  - Dosen,S
AU  - Teich,F
AU  - Graimann,B
AU  - Farina,D
DO  - 5/056010
PY  - 2016///
SN  - 1741-2560
TI  - Electrotactile EMG feedback improves the control of prosthesis grasping force
T2  - Journal of Neural Engineering
UR  - http://dx.doi.org/10.1088/1741-2560/13/5/056010
VL  - 13
ER  -
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