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Personality Trait Recognition using ECG Spectrograms and Deep Learning
This paper presents an innovative approach to recognizing personality traits using deep learning (DL) methods applied to electrocardiogram (ECG) signals.
Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface
We propose a method to classify four ME classes for different subjects using spectrograms of the EEG data through pre-trained deep learning (DL) models.
Motor imagery classification using EEG spectrograms
Our novel approach for the classification of upper limb movements using pre-trained DL algorithms and spectrograms has achieved significantly improved results for seven movement classes.
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