Attention-based Deep Learning for Epileptic Seizure Type Detection-Reference-Cited by-同舟云学术

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Attention-based Deep Learning for Epileptic Seizure Type Detection

Published:2024-01-27 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)
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Author:

Shankar Anand¹,Chakraborty Debaleena²,Dandapat Samarendra³,Barma Shovan²,Saikia Manob Jyoti¹

Affiliation:

1. University of North Florida,Biomedical Sensors and Systems Lab,Jacksonville,FL,USA,32224

2. Indian Institute of Information Technology,Electronics and Communication Engineering Department,Guwahati,India

3. Indian Institute of Technology,Electronics and Electrical Engineering Department,Guwahati,Assam,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10507884/10507806/10507948.pdf?arnumber=10507948

Reference17 articles.

1. MP-SeizNet: A multi-path CNN Bi-LSTM Network for seizure-type classification using EEG

2. An Effective Dual Self-Attention Residual Network for Seizure Prediction

3. Seizure Type Classification Using EEG Signals and Machine Learning: Setting a Benchmark

4. Classification of Seizure Types Based on Statistical Variants and Machine Learning

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