Title :
A wireless, smart EEG system for volitional control of lower-limb prosthesis
Author :
Ou Bai;Graham Kelly;Ding-Yu Fei;Douglas Murphy;John Fox;Brian Burkhardt;William Lovegreen;Javier Soars
Author_Institution :
Department of Electrical and Computer Engineering, Florida International University, Miami USA
Abstract :
Smooth and convenient user control of prostheses is critical to restore motor and cognitive functions in amputees. This study aims to develop a smart system supporting volitional control of prostheses directly from user´ thought without any interface manipulation. An ultra-portable, wireless-enabled, and low powered device prototype was developed to amplify and process multi-channel electroencephalography (EEG) signals in real-time. Signal processing and machine learning algorithms were designed to decode user´s volition from EEG signals and subsequently to command prosthetic devices. A feasibility test was conducted on an amputee user with right leg amputation. Preliminary results showed that the amputee user was able to volitionally control a knee-locker installed on the prosthetic leg at a sensitive rate of 83.5% with zero false positive detections in real-time. Future study will be directed to support multifunctional, volitional control of robotic prostheses.
Keywords :
"Extremities","Robot sensing systems","Electroencephalography","Electrodes","Manuals","Switches"
Conference_Titel :
TENCON 2015 - 2015 IEEE Region 10 Conference
Print_ISBN :
978-1-4799-8639-2
Electronic_ISBN :
2159-3450
DOI :
10.1109/TENCON.2015.7373060