Real-Time Subject-Independent Pattern Classification of Overt and Covert Movements from fNIRS Signals

Volume: 11, Issue: 7, Pages: e0159959 - e0159959
Published: Jul 28, 2016
Abstract
Recently, studies have reported the use of Near Infrared Spectroscopy (NIRS) for developing Brain-Computer Interface (BCI) by applying online pattern classification of brain states from subject-specific fNIRS signals. The purpose of the present study was to develop and test a real-time method for subject-specific and subject-independent classification of multi-channel fNIRS signals using support-vector machines (SVM), so as to determine its...
Paper Details
Title
Real-Time Subject-Independent Pattern Classification of Overt and Covert Movements from fNIRS Signals
Published Date
Jul 28, 2016
Journal
Volume
11
Issue
7
Pages
e0159959 - e0159959
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