FSTA-Net: Motor Imagery EEG Decoding Based on Frequency–Spatial–Time Features
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DOI: 10.1109/jsen.2024.3403875
Abstract: Decoding electroencephalography (EEG) signals based on motor imagery (MI) is vital in rehabilitation and motor-assisted instrumentation. As an essential step in decoding, feature extraction usually extracts single-domain features, such as spatial and frequency features, or… read more here.
Keywords: time; frequency spatial; motor imagery; fsta net ... See more keywords