Hi I new to Deep Learning and I want to use it for EEG signal classification.
Let say that I have EEG data decompose into 5 waves (Gamma, Beta, Alpha, Theta, Delta), each waves will be feature extracted and labeled. And now I am confusing in choosing which Deep Learning method is suitable for it.
How can I choose which method is best for my classification problem?
Thank you very much.
Hi Quang,
Here is a good paper that uses RBF for ECG beats classification.
Article ECG Beats Extraction and Classification Using Radial Basis F...
Hi Dr. Chu
The following article is a review of applying deep learning to classify EEG data. It is a good one as starting point
Deep learning for electroencephalogram (EEG) classification tasks: a review, open access: Article Deep learning for Electroencephalogram (EEG) classification ...
A convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyze images.The following articles use CNN to classify EEG data
John Thomas, Luca Comoretto, Jing Jin, Justin Dauwels, Sydney S Cash, M Brandon Westover , EEG CLassification Via Convolutional Neural Network-Based Interictal Epileptiform Event Detection, Conf Proc IEEE Eng Med Biol Soc
. 2018 Jul;2018:3148-3151. doi: 10.1109/EMBC.2018.8512930.
Jianhua Wang ; Gaojie Yu ; Liu Zhong ; Weihai Chen ; Yu Sun,
Classification of EEG signal using convolutional neural networks, 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)
Via a Principal Component Analysis : https://adiwijaya.staff.telkomuniversity.ac.id/files/2014/02/EEG-signal-classification-using-principal-component-analysis-06528498.pdf
Wavelet method : https://westminsterresearch.westminster.ac.uk/item/925x9/eeg-signal-classification-using-wavelet-feature-extraction-and-neural-networks
https://d1wqtxts1xzle7.cloudfront.net/43973843/EEG_signal_classification_using_wavelet_20160321-7282-15t2tpc.pdf?1458619956=&response-content-disposition=inline%3B+filename%3DEEG_signal_classification_using_wavelet.pdf&Expires=1591525873&Signature=CGVCskt0KZ96zurZB7VcCY5zi5og5h5n8GlxrC3XZ3Z7HVb-YLJLH8tAWVcnlRNrP8Qo7r5JWCXR8gmk~JHs0qaFsaL827sUklURyVc2guf4AzSyvGOdlnV9F9Sp1lSqW5zriG2SHDdGv5lVLpGgR6hlh2m-YwTtzlpRCC1Xpz-7ziXPi5eRYBlnxIBL5UecqTdBW5IGp4tiNadEDX17XjXozTTPcjaUpRRqTBSR6DyADubDgLFnZsUWCjFv4A04lR4oGQm-cSM8XouMo9zvmWd7LUer5LnYt5En4Q9OhExdEQgruJTNAjleKnM4-vxbQfHbYZhG0dR7c4ducKzmPg__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
Make a study using benchmark Feed Forward network and compared with Dynamic networks like TDNN, ERNN and DTDNN. IF you not get the clear model than go to CNN
Thank you every one for such informative answer. I will consider to apply each of yours answer to my research.
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