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Common Spatio-Time-Frequency Patterns for Motor Imagery-Based Brain Machine Interfaces
Joint Authors
Higashi, Hiroshi
Tanaka, Toshihisa
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
For efficient decoding of brain activities in analyzing brain function with an application to brain machine interfacing (BMI), we address a problem of how to determine spatial weights (spatial patterns), bandpass filters (frequency patterns), and time windows (time patterns) by utilizing electroencephalogram (EEG) recordings.
To find these parameters, we develop a data-driven criterion that is a natural extension of the so-called common spatial patterns (CSP) that are known to be effective features in BMI.
We show that the proposed criterion can be optimized by an alternating procedure to achieve fast convergence.
Experiments demonstrate that the proposed method can effectively extract discriminative features for a motor imagery-based BMI.
American Psychological Association (APA)
Higashi, Hiroshi& Tanaka, Toshihisa. 2013. Common Spatio-Time-Frequency Patterns for Motor Imagery-Based Brain Machine Interfaces. Computational Intelligence and Neuroscience،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-479594
Modern Language Association (MLA)
Higashi, Hiroshi& Tanaka, Toshihisa. Common Spatio-Time-Frequency Patterns for Motor Imagery-Based Brain Machine Interfaces. Computational Intelligence and Neuroscience No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-479594
American Medical Association (AMA)
Higashi, Hiroshi& Tanaka, Toshihisa. Common Spatio-Time-Frequency Patterns for Motor Imagery-Based Brain Machine Interfaces. Computational Intelligence and Neuroscience. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-479594
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479594