Advanced search
Publication Cover
Neurological Research
A Journal of Progress in Neurosurgery, Neurology and Neurosciences
Volume 40, 2018 - Issue 11
Submit an article Journal homepage
265
Views
8
CrossRef citations to date
0
Altmetric
Original Research Paper

Epilepsy classification using optimized artificial neural network

Jagriti SainiElectronics and Communication Engineering Department, National Institute of Technical Teacher’s Training and Research, Chandigarh, IndiaCorrespondence[email protected]
View further author information
&
Maitreyee DuttaComputer Science and Engineering Department, National Institute of Technical Teacher’s Training and Research, Chandigarh, IndiaView further author information
Pages 982-994 | Received 20 Apr 2018, Accepted 01 Aug 2018, Published online: 29 Aug 2018

Citations (8)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

Tian Luo, Jialin Wang, Yuanfeng Zhou, Shuizhen Zhou, Chunhui Hu, Peili Yao, Yanjiong Zhang & Yi Wang. (2022) EMD-WOG-2DCNN based EEG signal processing for Rolandic seizure classification. Computer Methods in Biomechanics and Biomedical Engineering 25:14, pages 1565-1575.
Read now

Articles from other publishers (7)

Gowtham Reddy N, Pragya Gupta, Debashree Guha, Manjunatha Mahadevappa & Debjani Chakraborty. (2023) Ordered Weighted Aggregation Operators based Statistical features for Seizure Classification using EEG. Ordered Weighted Aggregation Operators based Statistical features for Seizure Classification using EEG.
Qirui Ren, Xiaofan Sun, Xiangqu Fu, Shuaidi Zhang, Yiyang Yuan, Hao Wu, Xiaoran Li, Xinghua Wang & Feng Zhang. (2023) A review of automatic detection of epilepsy based on EEG signals. Journal of Semiconductors 44:12, pages 121401.
Crossref
Andreas Miltiadous, Katerina D. Tzimourta, Nikolaos Giannakeas, Markos G. Tsipouras, Euripidis Glavas, Konstantinos Kalafatakis & Alexandros T. Tzallas. (2023) Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review. IEEE Access 11, pages 564-594.
Crossref
Dwi Sunaryono, Riyanarto Sarno & Joko Siswantoro. (2022) Gradient boosting machines fusion for automatic epilepsy detection from EEG signals based on wavelet features. Journal of King Saud University - Computer and Information Sciences 34:10, pages 9591-9607.
Crossref
Satyender, Sanjeev Kumar Dhull & Krishna Kant Singh. 2021. Advances in Communication and Computational Technology. Advances in Communication and Computational Technology 1441 1454 .
Wonsik Yang, Minsoo Joo, Yujaung Kim, Se Hee Kim & Jong-Moon Chung. (2020) Hybrid Machine Learning Scheme for Classification of BECTS and TLE Patients Using EEG Brain Signals. IEEE Access 8, pages 218924-218935.
Crossref
Qianyi Zhan, Yizhang Jiang, Kaijian Xia, Jing Xue, Wei Hu, Huangxing Lin & Yuan Liu. (2019) Epileptic EEG Detection Using a Multi-View Fuzzy Clustering Algorithm with Multi-Medoid. IEEE Access 7, pages 152990-152997.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.