shariharan205/Motor-Imagery-Tasks-Classification-using-EEG-data
Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data
This helps researchers in brain-computer interfaces or neuroscience analyze electroencephalography (EEG) data. It takes raw EEG recordings from subjects imagining one of four motor actions and determines which action they were thinking of. This tool is for scientists and engineers working on systems that interpret brain signals.
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Use this if you need to classify imagined motor tasks from EEG data, specifically looking for a deep learning approach.
Not ideal if you need high spatiotemporal resolution data analysis, or if you are working with non-EEG neural recording techniques.
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Apr 12, 2018
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