A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network-Reference-Cited by-同舟云学术

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A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network

Published:2024-06 Issue:11 Volume:10 Page:e31827
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Shen Mingkan^ORCID,Yang Fuwen,Wen Peng,Song Bo,Li Yan^ORCID

Publisher

Elsevier BV

Reference27 articles.

1. A Clinical Guide to Epileptic Syndromes and Their Treatment;Panayiotopoulos,2010

2. Epilepsy: a Public Health Imperative;Organization,2019

3. Automated real-time epileptic seizure detection in scalp EEG recordings using an algorithm based on wavelet packet transform;Zandi;IEEE (Inst. Electr. Electron. Eng.) Trans. Biomed. Eng.,2010

4. Epileptic disorder detection of seizures using EEG signals;Alharthi;Sensors,2022

5. Automatic seizure detection using orthogonal matching pursuit, discrete wavelet transform, and entropy based features of EEG signals;Zarei;Comput. Biol. Med.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing;PeerJ Computer Science;2024-09-03

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