Correlation-Filter-Based Channel and Feature Selection Framework for Hybrid EEG-fNIRS BCI Applications

The proposed study is based on a feature and channel selection strategy that uses correlation filters for brain-computer interface (BCI) applications using electroencephalography (EEG)-functional near-infrared spectroscopy (fNIRS) brain imaging modalities. The proposed approach fuses the complementa...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2024-06, Vol.28 (6), p.3361-3370
Hauptverfasser:	Ali, Muhammad Umair, Zafar, Amad, Kallu, Karam Dad, Masood, Haris, Mannan, Malik Muhammad Naeem, Ibrahim, Malik Muhammad, Kim, Sangil, Khan, Muhammad Attique
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Algorithms Band-pass filters Biochips Brain Brain - diagnostic imaging Brain - physiology Brain modeling Brain-Computer Interfaces Brain–computer interface (BCI) channel selection Chi-square test Classifiers Computer applications Correlation Discriminant analysis EEG EEG-fNIRS Electroencephalography Electroencephalography - methods Feature extraction Feature selection Filters Functional near-infrared spectroscopy Human-computer interface Humans Implants Infrared spectra Infrared spectroscopy Kurtosis Medical imaging Mental task performance motor imagery Near infrared radiation Neural networks Neuroimaging Redundancy Signal Processing, Computer-Assisted Skewness Spectroscopy Spectroscopy, Near-Infrared - methods Statistical analysis Statistics Support Vector Machine Support vector machines Task analysis Training Variance analysis
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