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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Auteurs principaux:	M. Jawad Khan, Usman Ghafoor, Keum-Shik Hong
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2018-11-01
Collection:	Frontiers in Human Neuroscience
Sujets:	brain-computer interface (BCI) functional near-infrared spectroscopy (fNIRS) electroencephalography (EEG) hybrid EEG-fNIRS hemodynamic response vector phase diagram
Accès en ligne:	https://www.frontiersin.org/article/10.3389/fnhum.2018.00479/full
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