EEG classification using a simple CNN model for imagined and executed motor signals

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EEG classification using a simple CNN model for imagined and executed motor signals

Detection, identification and removing of artifacts from sEMG signals: Current studies and future challenges

MA Yous, S Agounad, S Elbaz - Computers in Biology and Medicine, 2025 - Elsevier

Surface electromyography (sEMG), a non-invasive technique, offers the ability to identify
insights into the activities of muscles in the form of electrical pulses. During the process of …

EEG classification using a simple CNN model for imagined and executed motor signals

Detection, identification and removing of artifacts from sEMG signals: Current studies and future challenges

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