| Towards increased data transmission rate for a three-class metabolic brain-computer interface based on transcranial Doppler ultrasound. | |
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MedLine Citation:
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PMID: 23006241 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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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. |
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Authors:
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Andrew Myrden; Azadeh Kushki; Ervin Sejdić; Tom Chau |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-9-21 |
Journal Detail:
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Title: Neuroscience letters Volume: - ISSN: 1872-7972 ISO Abbreviation: Neurosci. Lett. Publication Date: 2012 Sep |
Date Detail:
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Created Date: 2012-9-25 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7600130 Medline TA: Neurosci Lett Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012. Published by Elsevier Ireland Ltd. |
Affiliation:
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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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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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