Anomaly Detection in Electroencephalography Signal Using Deep Learning Model-Reference-Cited by-同舟云学术

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Anomaly Detection in Electroencephalography Signal Using Deep Learning Model

Published:2020-12-17 Issue: Volume: Page:205-217
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Tahura Sharaban,Hasnat Samiul S. M.,Shamim Kaiser M.^ORCID,Mahmud Mufti^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-4673-4_18

Reference60 articles.

1. Besa epilepsy detection software and simulator. https://www.besa.de/downloads/besa-epilepsy/. Accessed on 30 June 2020

2. Chb-mit PhysioNet EEG 5 males 17 females. https://physionet.org/content/chbmit/1.0.0/. Accessed on 24 June 2020

3. Deap dataset for emotion analysis. https://rb.gy/dsw83y. Accessed on 24 June 2020

4. EEG-database Epilepsy Center of the University Hospital of Freiburg. https://rb.gy/rujwqj. Accessed on 24 June 2020

5. Image net EEG dataset. http://www.image-net.org/. Accessed on 25 June 2020

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