FPGA-Based System for Real-time Epileptic Seizure Detection using KNN Classifier-Reference-Cited by-同舟云学术

FPGA-Based System for Real-time Epileptic Seizure Detection using KNN Classifier

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)
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Author:

Jaffino G¹,Jose J Prabin²,Raman R²,Venkatesan R S³,Aarthi V.P.M.B.⁴

Affiliation:

1. School of Electronics Engineering, Vellore institute of Technology,Vellore

2. Aditya Engineering college,Electronics and Communication Engineering,surampalem

3. Dr Mahalingam College of Engineering and Technology,Electronics and Communication Engineering,pollachi

4. Kalasalingam Academy of Research and Education,Electronics and Communication Engineering,Krishnankoil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10156871/10156874/10157075.pdf?arnumber=10157075

Reference25 articles.

1. Seizure detection in EEG using time frequency analysis and SVM;kumari;2011 International Conference on Emerging Trends in Electrical and Computer Technology,0

2. Expectation-Maximization Extreme Machine Learning Classifier for Epileptic Seizure Detection

3. Weighted 1D-local binary pattern features and Taylor-Henry gas solubility optimization based Deep Maxout network for discovering epileptic seizure using EEG

4. Grey Wolf Optimization with Deep Recurrent Neural Network for Epileptic Seizure Detection in EEG signals

5. FPGA implementation of epileptic seizure detection using ELM classifier;prabin;2020 Sixth International Conference on Bio Signals Images and Instrumentation (ICBSII),0

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