December 24, 2018IEEE Transactions on Biomedical Engineering

Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings

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Abstract

Considering the large data availability of multi-channel EEG and MEG recordings, CNNs may be suited for classification of ICs of multi-channel brain electrophysiological recordings.

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Croce et al. (2018) studied this question.

synapsesocial.com/papers/69d995040d540cafc58363bc https://doi.org/10.1109/tbme.2018.2889512

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Abstract

Considering the large data availability of multi-channel EEG and MEG recordings, CNNs may be suited for classification of ICs of multi-channel brain electrophysiological recordings.

Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings

Abstract

Discussion

Cite This Study

Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings

Abstract

Discussion

Cite This Study

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