OptEF-BCI: An Optimization-Based Hybrid EEG and fNIRS–Brain Computer Interface

Multimodal data fusion (electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS)) has been developed as an important neuroimaging research field in order to circumvent the inherent limitations of individual modalities by combining complementary information from other modalities...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Bioengineering Jg. 10; H. 5; S. 608
Hauptverfasser:	Ali, Muhammad Umair, Kim, Kwang Su, Kallu, Karam Dad, Zafar, Amad, Lee, Seung Won
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 18.05.2023 MDPI
Schlagworte:	Accuracy Algorithms binary enhanced whale optimization algorithm Bioengineering Biology (General) Brain Brain research Classification Complementarity Computation Computer applications Cost function Data acquisition Data integration Datasets EEG Electroencephalography Feature selection fNIRS Human-computer interaction Human-computer interface hybrid BCI Implants Infrared spectra Infrared spectroscopy Medical imaging Near infrared radiation Neuroimaging Neurosciences optimal feature selection optimal feature selection; hybrid BCI; binary enhanced whale optimization algorithm; fNIRS; EEG Optimization Performance evaluation QH301-705.5 Spectroscopy Support vector machines T Technology South Korea hybrid BCI binary enhanced whale optimization algorithm fNIRS optimal feature selection EEG
ISSN:	2306-5354, 2306-5354
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!