Document Detail


An SSVEP-based brain-computer interface for the control of functional electrical stimulation.
MedLine Citation:
PMID:  20176528     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A brain-computer interface (BCI) based on steady-state visual-evoked potentials (SSVEPs) is combined with a functional electrical stimulation (FES) system to allow the user to control stimulation settings and parameters. The system requires four flickering lights of distinct frequencies that are used to form a menu-based interface, enabling the user to interact with the FES system. The approach was evaluated in 12 neurologically intact subjects to change the parameters and operating mode of an abdominal stimulation system for respiratory assistance. No major influence of the FES on the raw EEG signal could be observed. In tests with a self-paced task, a mean accuracy of more than 90% was achieved, with detection times of approximately 7.7 s and an average information transfer rate of 12.5 bits/min. There was no significant dependency of the accuracy or time of detection on the FES stimulation intensity. The results indicate that the system could be used to control FES-based neuroprostheses with a high degree of accuracy and robustness.
Authors:
Henrik Gollee; Ivan Volosyak; Angus J McLachlan; Kenneth J Hunt; Axel Gräser
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-02-18
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  57     ISSN:  1558-2531     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2010 Aug 
Date Detail:
Created Date:  2010-07-27     Completed Date:  2010-11-05     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1847-55     Citation Subset:  IM    
Affiliation:
Centre for Rehabilitation Engineering, University of Glasgow, Glasgow, G12 8QQ, UK. h.gollee@mech.gla.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Abdominal Muscles
Adult
Algorithms
Brain / physiology
Communication Aids for Disabled*
Electric Stimulation / methods*
Electroencephalography / methods*
Evoked Potentials, Visual / physiology*
Female
Humans
Male
Man-Machine Systems
Prostheses and Implants
User-Computer Interface*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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