Early Detection of Hemodynamic Responses Using EEG: A Hybrid EEG-fNIRS Study

Early Detection of Hemodynamic Responses Using EEG: A Hybrid EEG-fNIRS Study

Enhanced classification accuracy and a sufficient number of commands are highly demanding in brain computer interfaces (BCIs). For a successful BCI, early detection of brain commands in time is essential. In this paper, we propose a novel classifier using a modified vector phase diagram and the powe...

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Bibliographic Details
Main Authors: M. Jawad Khan, Usman Ghafoor, Keum-Shik Hong
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Human Neuroscience
Subjects:
brain-computer interface (BCI)
functional near-infrared spectroscopy (fNIRS)
electroencephalography (EEG)
hybrid EEG-fNIRS
hemodynamic response
vector phase diagram
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2018.00479/full

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https://www.frontiersin.org/article/10.3389/fnhum.2018.00479/full

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