LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection-Reference-Cited by-同舟云学术

LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection

Published:2023-04 Issue:4 Volume:27 Page:1845-1856
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Qiu Siyuan¹^ORCID,Wang Wenjin²,Jiao Hailong¹^ORCID

Affiliation:

1. School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China

2. Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10092240/09960737.pdf?arnumber=9960737

Reference62 articles.

1. Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform

2. Early seizure detection with an energy-efficient convolutional neural network on an implantable microcontroller;hügle;Proc Int Joint Conf Neural Netw,2018

3. Seizure pattern-specific epileptic epoch detection in patients with intellectual disability

4. A new era in electroencephalographic monitoring? Subscalp devices for ultra-long-term recordings;duun-henriksen;Epilepsia,2020

5. Hardware Design of Real Time Epileptic Seizure Detection Based on STFT and SVM

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