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  Epileptic seizure classification using novel entropy features applied on maximal overlap discrete wavelet packet transform of EEG signals

Ahmadi, A., Tafakori, S., Shalchyan, V., & Daliri, M. R. (2017). Epileptic seizure classification using novel entropy features applied on maximal overlap discrete wavelet packet transform of EEG signals. In 7th International Conference on Computer and Knowledge Engineering (ICCKE) (pp. 390-395). Mashhad, Iran.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-295F-F Version Permalink: https://hdl.handle.net/21.11116/0000-000A-2961-B
Genre: Conference Paper

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 Creators:
Ahmadi, Amirmasoud1, Author           
Tafakori, S., Author
Shalchyan, V., Author
Daliri, M. R., Author
Affiliations:
1Iran University of Science and Technology (IUST), Tehran, Iran, ou_persistent22              

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Language(s):
 Dates: 2017
 Publication Status: Issued
 Pages: 390-395
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: WOS:000454813100065
ISBN: 978-1-5386-0804-3
 Degree: -

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Title: 7th International Conference on Computer and Knowledge Engineering (ICCKE)
Place of Event: Mashhad, Iran
Start-/End Date: 2017-10-26 - 2017-10-27

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Title: 7th International Conference on Computer and Knowledge Engineering (ICCKE)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Mashhad, Iran
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 390 - 395 Identifier: -