Optimizing Residual Networks and VGG for Classification of EEG Signals: Identifying Ideal Channels for Emotion Recognition

<div>Architectural details of (a) original <i>ResNet18</i> and its modified variants (b) <i>ResNet18-1D-kernel-</i>(<i>T-S-alternate</i>) and (c) <i>ResNet18-1D-kernel-(T-then-S</i>) for EEG signal processing.</div>

Journal of Healthcare Engineering

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Figure 3: Optimizing Residual Networks and VGG for Classification of EEG Signals: Identifying Ideal Channels for Emotion Recognition 