Application of Multi-Domain Feature for Automated Seizure Detection from EEG Signal-Reference-Cited by-同舟云学术

Application of Multi-Domain Feature for Automated Seizure Detection from EEG Signal

Published:2022-10-20 Issue: Volume: Page:
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Container-title:2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

S.R Ashokkumar¹,M Premkumar²,P Dhilipkumar³,Manikandan P⁴,P Naveen⁵,Saravanan M.⁵

Affiliation:

1. Sri Eshwar College of Engineering,Department of CCE,Coimbatore,India

2. SSM Institute of Engineering and Technology,Department of ECE,Dindigul,India

3. Sri Ranganathar College of Engineering and TEchnology,Department of ECE,Comibatore,India

4. Kalasalingam Academy of Research and Education,Department of ECE,Krishnankoil,Coimbatore,India

5. Sri Eshwar College of Engineering,Department of ECE,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9951706/9951861/09952003.pdf?arnumber=9952003

Reference11 articles.

1. Epilepsy seizure detection using kurtosis based VMD’s parameters selection and bandwidth features;chakraborty sukriti;Biomed Signal Process Contr 64,2020

2. Epileptic seizure detection for multi-channel EEG with deep convolutional neural network

3. Identifying an increased risk of epileptic seizures using a multi-feature EEG–ECG classification

4. Automatic epileptic seizure detection via Stein kernel-based sparse representation

5. Detection of Seizure Event and Its Onset/Offset Using Orthonormal Triadic Wavelet Based Features

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