Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score Method
A state-of-the-art brain–computer interface (BCI) system includes brain signal acquisition, noise removal, channel selection, feature extraction, classification, and an application interface. In functional near-infrared spectroscopy-based BCI (fNIRS-BCI) channel selection may enhance classification...
Main Authors: | Hammad Nazeer, Noman Naseer, Aakif Mehboob, M. Jawad Khan, Rayyan Azam Khan, Umar Shahbaz Khan, Yasar Ayaz |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/23/6995 |
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