Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands

Epilepsy diagnosis through visual examination of interictal epileptiform discharges (IEDs) in scalp electroencephalogram (EEG) signals is a challenging problem. Deep learning methods can be an automated way to perform this task. In this work, we present a new approach based on convolutional neural n...

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Bibliografiska uppgifter
I publikationen:Annu Int Conf IEEE Eng Med Biol Soc
Huvudupphovsmän: Prasanth, Thangavel, Thomas, John, Yuvaraj, R., Jing, Jing, Cash, Sydney S., Chaudhari, Rima, Leng, Tan Yee, Rathakrishnan, Rahul, Rohit, Srivastava, Saini, Vinay, Westover, Brandon M., Dauwels, Justin
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2020
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Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7545315/
https://ncbi.nlm.nih.gov/pubmed/33018805
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC44109.2020.9175644
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