A Comprehensive Review of Epileptic Seizure Prediction using Medical Internet of Things-Reference-Cited by-同舟云学术

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A Comprehensive Review of Epileptic Seizure Prediction using Medical Internet of Things

Published:2022-12-08 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)
language:
Short-container-title:

Author:

Hema P.¹,Vanithamani R.²

Affiliation:

1. Jai Shriram Engineering College,Department of Electrical &Electronics Engineering,Tiruppur

2. School of Engineering, Avinashilingam Institute for Home science and Higher Education for Women,Department of Biomedical Instrumentation Engineering,Coimbatore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10046661/10046421/10047117.pdf?arnumber=10047117

Reference28 articles.

1. Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features

2. DDESVSFS: A simple, rapid and comprehensive screening tool for the Differential Diagnosis of Epileptic Seizures VS Functional Seizures

3. EEG mobility artifact removal for ambulatory epileptic seizure prediction applications

4. Epileptic seizure prediction by the detection of seizure waveform from the pre-ictal phase of EEG signal

5. Deep learning based efficient epileptic seizure prediction with EEG channel optimization

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