DocumentCode :
3661834
Title :
FES-based upper-limb stroke rehabilitation with advanced sensing and control
Author :
Mustafa Kutlu;Chris T. Freeman;Emma Hallewell;Ann-Marie Hughes;Dina Shona Laila
Author_Institution :
Electronics and Computer Science, University of Southampton, UK, SO17 1BJ
fYear :
2015
Firstpage :
253
Lastpage :
258
Abstract :
Functional electrical stimulation (FES) has shown effectiveness in restoring movement post-stroke when applied to assist participants´ voluntary action during repeated, motivating tasks. Recent clinical trials have used advanced controllers that precisely adjust FES to assist functional reach and grasp tasks, showing significant reduction in impairment. The system reported in this paper advances the state-of-the-art by: (1) integrating an FES electrode array on the forearm to assist complex hand and wrist gestures; (2) utilising non-contact PrimeSense and Kinect sensors to accurately record the arm, hand and wrist position in 3D; and (3) employing an interactive touch table to present motivating virtual reality (VR) tasks. Feasibility of the system has been evaluated in clinical trials with 4 hemiparetic, chronic stroke participants. Results show that performance error reduced across all tasks and confirm the feasibility of applying precisely controlled FES to multiple muscle groups in the upper limb using advanced sensors, controllers and array hardware. This low-cost, compact technology hence has potential to be transferred to participants´ homes in order to reduce upper-limb impairment following chronic stroke.
Keywords :
"Joints","Electrodes","Wrist","Muscles","Arrays","Hardware","Sensors"
Publisher :
ieee
Conference_Titel :
Rehabilitation Robotics (ICORR), 2015 IEEE International Conference on
ISSN :
1945-7898
Electronic_ISBN :
1945-7901
Type :
conf
DOI :
10.1109/ICORR.2015.7281208
Filename :
7281208
Link To Document :
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