Sharing a summary of below paper on DL in EEG. This paper has reviewed 90 published papers and provides a workflow diagram of DL in EEG classification. For those interested in using EEG data in deep learning techniques, this diagram seems like a great starting point to help determine what works best for your goals and objectives of your research or project.
See here for full paper: https://iopscience.iop.org/article/10.1088/1741-2552/ab0ab5
“Task-specific deep learning recommendation diagram. The workflow begins with task type (with connected boxes indicating the task’s general deep learning architecture recommendation) and leads into deep learning architecture characteristic recommendations, which can serve as the starting point for designing deep learning architectures in future research.”
See here for full paper: https://iopscience.iop.org/article/10.1088/1741-2552/ab0ab5
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Step by step using Emotiv EPOC on EEGLAB Matlab on Amazon: https://www.amazon.com/Neural-Oscillations-Brainwaves-Analysis-Step/dp/B09QP6QW5C/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=&sr=
Full thesis: https://eprints.qut.edu.au/127009/
Nilo Sarraf 
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