Automated Epileptic Seizure Detection using Principal Component Analysis Framework-Reference-Cited by-同舟云学术

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Automated Epileptic Seizure Detection using Principal Component Analysis Framework

Published:2022-01-20 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)
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Author:

Ahmad Gufran¹,Raibole Shubhangi Ulhasrao²,Sharma Astha³

Affiliation:

1. Dayalbagh Educational Institute (Deemed University),Department of Electrical Engineering,Agra,India

2. Vidya Bharti Mahavidyalaya, Amravati, Sant Gadge Baba Amravati University,Department of Botany,Maharashtra,India

3. G.L. Bajaj Institute of Technology and Management,Department of ECE,Greater Noida,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9716239/9716227/09716451.pdf?arnumber=9716451

Reference22 articles.

1. Fusion based feature extraction analysis of ECG signal interpretation–a systematic approach;vijayakumar;Journal of Artificial Intelligence,2021

2. Detection of epileptical seizures based on alpha band statistical features

3. Time-Frequency Statistical Features of Delta Band for Detection of Epileptic Seizures;sameer;Wireless Personal Communications,2021

4. ROC Analysis of EEG Subbands for Epileptic Seizure Detection using Naïve Bayes Classifier;sameer;Journal of Mobile Multimedia,2021

5. Adopting Artificial Intelligence Powered ConvNet To Detect Epileptic Seizures

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