Channel and model selection for multi-channel EEG input to neural networks

Channel and model selection for multi-channel EEG input to neural networks

Studies employing neural networks to classify emotions from brain waves and other biological signals provide a quantitative perspective on understanding human physiological phenomena. Typically, multimodal networks process combined data without considering the relationships between electrodes, such...

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Bibliographic Details
Main Authors: Kento Harachi, Yusuke Yamamoto, Ayumi Muramatsu, Hajime Nagahara, Noriko Takemura, Shinji Shimojo, Daisuke Furihata, Yuko Mizuno-Matsumoto
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
multi-channel
rnn
emotion classification
eeg
network structure
Online Access:http://dx.doi.org/10.1080/18824889.2024.2385579
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http://dx.doi.org/10.1080/18824889.2024.2385579

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