In this paper, we propose a novel ECG emotion recognition method, which adopts a spatial and temporal ECG emotion recognition model based on dynamic feature ...
method, which adopts a spatial and temporal ECG emotion recognition model based on dynamic feature fusion (DFF-. STM) to learn spatial-temporal ...
Apr 19, 2024 · Emotion Recognition. Conference Paper. A Spatial-Temporal Feature Fusion Emotion Recognition Model Based on Attention Mechanism. December 2023.
Missing: ECG Dynamic
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A Spatial-Temporal ECG Emotion Recognition Model Based on Dynamic Feature Fusion. 点击次数：6. DOI码：10.1109/ICASSP49357.2023.10096299. 所属单位：计算机科学与 ...
An ECG Classification Method Based on Feature Fusion Model
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Classification result by comprehensive analysis of rhythm section and heartbeat unit makes a reliable diagnosis of heart disease possible.
2023. TLDR. A novel ECG emotion recognition method is proposed, which adopts a spatial and temporal ECGs emotion recognition model based on dynamic feature ...
Temporal enhancement model based on interactive self-attention and gated feed-forward mechanism. •. Effective and robust emotion representation model for ...
Aug 3, 2023 · In this paper, we propose a novel Multimodal Feature Fusion Neural Network model (MFFNN) that effectively extracts complementary information ...
Apr 4, 2022 · The considered features may represent temporal, spatial (i.e. related to electrodes location on the scalp) or frequential (i.e. feature related ...
Jul 20, 2023 · According to the characteristics of EEG signals and the shortcomings of existing methods, this paper proposes a CNN-DSC-Bi-LSTM-Attention (CDBA) ...