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Identifying EEG signals with deep learning

Posted 6 years ago

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POSTED BY: Anshul Chandra
6 Replies

Thanks for sharing your exploration of artifact classification. I know other OpenBCI users would be interested in your post/tutorial if there was some extra info on how you setup your electrodes & collected the EEG data. Basically, the parts prior to Data Cleaning.

Great post!

POSTED BY: Joseph Artuso
POSTED BY: Anshul Chandra
Posted 6 years ago

Hi Anshul, this is wonderful post! Nice to see a medical application of machine learning.

BTW. I think besides CNN and RNN, another architecture worth trying is TCNN (temporal convolution neural network), which is usually used when dealing with temporal series data with causal links.

POSTED BY: Updating Name
POSTED BY: Anshul Chandra

Hi Anshul! Did you have any chance tried TCNN? (That Updating Name was me on cloud glitch)

I don't have much cardiac knowledge, but EEG as a 1 dimensional (quasi-)periodic signal, maybe it fits in some traditional analysis methods (Fourier, wavelets, etc.), at least as a pre-neural-network feature preparation parts.

POSTED BY: Silvia Hao
POSTED BY: EDITORIAL BOARD
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