A review of signal processing and machine learning techniques for interictal epileptiform discharge detection-Reference-Cited by-同舟云学术

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A review of signal processing and machine learning techniques for interictal epileptiform discharge detection

Published:2024-01 Issue: Volume:168 Page:107782
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Abdi-Sargezeh Bahman^ORCID,Shirani Sepehr^ORCID,Sanei Saeid^ORCID,Took Clive Cheong,Geman Oana,Alarcon Gonzalo,Valentin Antonio

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference159 articles.

1. EEG Signal Processing and Machine Learning;Sanei,2021

2. World health organization: Epilepsy,2023

3. Cellular and network mechanisms of spike-wave seizures;Blumenfeld;Epilepsia,2005

4. Neural networks in human epilepsy: evidence of and implications for treatment;Spencer;Epilepsia,2002

5. Interictal spikes and epileptogenesis;Staley;Epilepsy Curr.,2006

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Do Interictal Epileptiform Discharges and Brain Responses to Electrical Stimulation Come From the Same Location? An Advanced Source Localization Solution;IEEE Transactions on Biomedical Engineering;2024-09

2. vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data;Neural Networks;2024-07

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