Imperial College London
Alternate

ProfessorEtienneBurdet

Faculty of Engineering, Department of Bioengineering

Professor of Human Robotics
 
 
 
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Contact

 

e.burdet Website

 
 
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Location

 

419BSir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Cazenave:2023:10.1109/tnsre.2023.3323370,
author = {Cazenave, L and Einenkel, M and Yurkewich, A and Endo, S and Hirche, S and Burdet, E},
doi = {10.1109/tnsre.2023.3323370},
journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
pages = {4063--4072},
title = {Hybrid robotic and electrical stimulation assistance can enhance performance and reduce mental demand},
url = {http://dx.doi.org/10.1109/tnsre.2023.3323370},
volume = {31},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Combining functional electrical stimulation (FES) and robotics may enhance recovery after stroke, by providing neural feedback with the former while improv- ing quality of motion and minimizing muscular fatigue with the latter. Here, we explored whether and how FES, robot assistance and their combination, affect users’ per- formance, effort, fatigue and user experience. 15 healthy participants performed a wrist flexion/extension tracking task with FES and/or robotic assistance. Tracking per- formance improved during the hybrid FES-robot and the robot-only assistance conditions in comparison to no assistance, but no improvement is observed when only FES is used. Fatigue, muscular and voluntary effort are estimated from electromyographic recording. Total muscle contraction and volitional activity are lowest with robotic assistance, whereas fatigue level do not change between the conditions. The NASA-Task Load Index answers indi- cate that participants found the task less mentally demand- ing during the hybrid and robot conditions than the FES condition. The addition of robotic assistance to FES train- ing might thus facilitate an increased user engagement compared to robot training and allow longer motor training session than with FES assistance.
AU  - Cazenave,L
AU  - Einenkel,M
AU  - Yurkewich,A
AU  - Endo,S
AU  - Hirche,S
AU  - Burdet,E
DO  - 10.1109/tnsre.2023.3323370
EP  - 4072
PY  - 2023///
SN  - 1534-4320
SP  - 4063
TI  - Hybrid robotic and electrical stimulation assistance can enhance performance and reduce mental demand
T2  - IEEE Transactions on Neural Systems and Rehabilitation Engineering
UR  - http://dx.doi.org/10.1109/tnsre.2023.3323370
UR  - http://hdl.handle.net/10044/1/107769
VL  - 31
ER  -
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