Decoding Subject-Driven Cognitive States from EEG Signals for Cognitive Brain–Computer Interface

• Published in: Brain sciences Vol. 14; no. 5; p. 498
• Main Authors: Huang, Dingyong, Wang, Yingjie, Fan, Liangwei, Yu, Yang, Zhao, Ziyu, Zeng, Pu, Wang, Kunqing, Li, Na, Shen, Hui
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.05.2024
• Subjects: Biochips; Brain; Brain research; brain–computer interface; channel and frequency attention; Classification; Computer applications; EEG; EEG signals; Electroencephalography; Experiments; Feasibility studies; Implants; Memory; Music; Neural networks; Paradigms; Signal processing; subject-driven cognitive states; time–frequency map; Wavelet transforms; brain–computer interface; EEG signals; time–frequency map; channel and frequency attention; subject-driven cognitive states
• ISSN: 2076-3425; 2076-3425
• DOI: 10.3390/brainsci14050498

In this study, we investigated the feasibility of using electroencephalogram (EEG) signals to differentiate between four distinct subject-driven cognitive states: resting state, narrative memory, music, and subtraction tasks. EEG data were collected from seven healthy male participants while perform...