Non-invasive Brain-Computer Interfaces (BCI) have demonstrated great promise for neuroprosthetics and assistive devices. Here we aim to investigate methods to combine Electroencephalography (EEG) and functional Near-Infrared Spectroscopy (fNIRS) in an asynchronous Sensory Motor rhythm (SMR)-based BCI. We attempted to classify 4 different executed movements. namely. https://www.sweetandspicyessentials.com/product-category/kids-footwear/
Hybrid EEG-fNIRS Asynchronous Brain-Computer Interface for Multiple Motor Tasks.
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