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Bridging the Gap in ECG-Based Emotion Recognition: A Unified Evaluation of Deep Learning Models
Deep learning has led to numerous proposed architectures for Automated Emotion Recognition (AER) from electrocardiogram (ECG) data, but inconsistencies in preprocessing, training, and evaluation make direct comparisons difficult. Most studies train and validate models on individual datasets collecte
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