Why the study?
Original 1D sequence EEG data ignore spatial topology information, and Feature Pyramid Networks handle small dimension target detection and feature extraction in scale transformation better than CNNs.
Population
EEG data for emotion recognition
Comparison
Feature Pyramid Networks and Long Short-Term… vs CNN (implied as baseline)
Design
Other
Authors
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May inform emotion-sensitive cardiac monitoring; hypothesis-generating without clinical cohort validation.
The proposed FPN-LSTM method on 2D EEG feature maps achieves high recognition rates for emotion classification.
Zhang et al. (2023) studied this question.
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