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robintibor / eeg-deep-learning-phd-thesis

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eeg-deep-learning-phd-thesis/Introduction #1

Open utterances-bot opened 3 years ago

utterances-bot commented 3 years ago

Introduction — Deep Learning for Brain-Signal Decoding from Electroencephalography (EEG)

https://robintibor.github.io/eeg-deep-learning-phd-thesis/Introduction.html

robintibor commented 3 years ago

I think I did it well!

DephieHuang commented 3 years ago
  1. The first session Machine learning (ML) can be used for medical applications  sounds strange to me. You can directly start with brain, or brain signals, slowly build up to eeg, to machine learning, its interesting/challenging perspectives.  
  2. session2. Can allow decoding of intention “at source”. I donot understand what you mean by at source. scalp EEG doesnot measure signal directly at the source. Not sure what you want to write here.
  3. session 3. EEG hard to interpret for humans is not clear to me. It is the golden standard to diagnose epilepsy, donot know why you write it is hard to interpret, in which perspective. 
  4. session 5. You list so many challenges. It seems to me you want to solve them all or? what is your intention here or if you have a priority to solve?