A hybrid CNN model for classification of motor tasks obtained from hybrid BCI system

A hybrid CNN model for classification of motor tasks obtained from hybrid BCI system

Abstract The Hybrid-Brain Computer Interface (BCI) has shown improved performance, especially in classifying multi-class data. Two non-invasive BCI modules are combined to achieve an improved classification which are Electroencephalogram (EEG) and functional Near Infra-red Spectroscopy (fNIRS). Clas...

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Bibliographic Details
Main Authors: R. Shelishiyah, Deepa Beeta Thiyam, M. Jehosheba Margaret, N. M. Masoodhu Banu
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
EEG
FNIRS
Hybrid BCI
CNN
Bi-LSTM
Online Access:https://doi.org/10.1038/s41598-024-84883-2
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