Hemodynamic Response Detection Using Integrated EEG-fNIRS-VPA for BCI

For BCI systems, it is important to have an accurate and less complex architecture to control a device with enhanced accuracy. In this paper, a novel methodology for more accurate detection of the hemodynamic response has been developed using a multimodal brain-computer interface (BCI). An integrate...

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Veröffentlicht in:	Computers, materials & continua materials & continua, 2022-01, Vol.70 (1), p.535-555
Hauptverfasser:	Arif, Arshia, Jawad Khan, M., Javed, Kashif, Sajid, Hasan, Rubab, Saddaf, Naseer, Noman, Irfan Khan, Talha
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Classification Classifiers Electroencephalography Hemodynamic responses Hilbert transformation Human-computer interface Infrared spectra Medical imaging Near infrared radiation Neural networks Signal processing Support vector machines
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