Document Detail


Towards increased data transmission rate for a three-class metabolic brain-computer interface based on transcranial Doppler ultrasound.
MedLine Citation:
PMID:  23006241     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
In this study, we conducted an offline analysis of transcranial Doppler (TCD) ultrasound recordings to investigate potential methods for increasing data transmission rate in a TCD-based brain-computer interface. Cerebral blood flow velocity was recorded within the left and right middle cerebral arteries while nine able-bodied participants alternated between rest and two different mental activities (word generation and mental rotation). We differentiated these three states using a three-class linear discriminant analysis classifier while the duration of each state was varied between 5 and 30 seconds. Maximum classification accuracies exceeded 70%, and data transmission rate was maximized at 1.2 bits per minute, representing a four-fold increase in data transmission rate over previous two-class analysis of TCD recordings.
Authors:
Andrew Myrden; Azadeh Kushki; Ervin Sejdić; Tom Chau
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-9-21
Journal Detail:
Title:  Neuroscience letters     Volume:  -     ISSN:  1872-7972     ISO Abbreviation:  Neurosci. Lett.     Publication Date:  2012 Sep 
Date Detail:
Created Date:  2012-9-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7600130     Medline TA:  Neurosci Lett     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012. Published by Elsevier Ireland Ltd.
Affiliation:
Holland Bloorview Kids Rehabilitation Hospital, Bloorview Research Institute, Toronto, Ontario, Canada; (2) - The Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
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