Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals
Ning Huang,
Zhengtao Xi,
Yingying Jiao
et al.
Abstract:<p>It is important to classify electroencephalography (EEG) signals automatically for the diagnosis and treatment of epilepsy. Currently, the dominant single-modal feature extraction methods cannot cover the information of different modalities, resulting in poor classification performance of existing methods, especially the multi-classification problem. We proposed a multi-modal feature fusion (MMFF) method for epileptic EEG signals. First, the time domain features were extracted by kernel principal comp… Show more
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