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Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A
  Review

Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review

4 February 2020
Khansa Rasheed
A. Qayyum
Junaid Qadir
Shobi Sivathamboo
P. Kwan
L. Kuhlmann
T. O'Brien
Adeel Razi
ArXivPDFHTML

Papers citing "Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review"

10 / 10 papers shown
Title
On the challenges of detecting MCI using EEG in the wild
On the challenges of detecting MCI using EEG in the wild
Aayush Mishra
David Joffe
Sankara Surendra Telidevara
David S Oakley
Anqi Liu
41
0
0
15 Jan 2025
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Yifei Zhou
Sitong Liu
39
0
0
09 Aug 2024
Lightweight Convolution Transformer for Cross-patient Seizure Detection
  in Multi-channel EEG Signals
Lightweight Convolution Transformer for Cross-patient Seizure Detection in Multi-channel EEG Signals
S. Rukhsar
A. Tiwari
29
9
0
07 May 2023
ScatterFormer: Locally-Invariant Scattering Transformer for
  Patient-Independent Multispectral Detection of Epileptiform Discharges
ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges
Rui-Hua Zheng
Jun Yu Li
Yi Wang
Tian Luo
Yuguo Yu
MedIm
30
4
0
26 Apr 2023
Imaging the time series of one single referenced EEG electrode for
  Epileptic Seizures Risk Analysis
Imaging the time series of one single referenced EEG electrode for Epileptic Seizures Risk Analysis
Tiago Leal
A. Dourado
Fábio Lopes
C. Teixeira
AI4TS
29
0
0
29 Jun 2022
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of
  Epileptic Seizures
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures
Yankun Xu
Jie Yang
Mohamad Sawan
24
26
0
29 Apr 2022
An overview of deep learning techniques for epileptic seizures detection
  and prediction based on neuroimaging modalities: Methods, challenges, and
  future works
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
...
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
26
49
0
29 May 2021
Self-Supervised Graph Neural Networks for Improved
  Electroencephalographic Seizure Analysis
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
Siyi Tang
Jared A. Dunnmon
Khaled Kamal Saab
Xuan Zhang
Qianying Huang
Florian Dubost
D. Rubin
Christopher Lee-Messer
27
96
0
16 Apr 2021
Deep Learning for Medical Anomaly Detection -- A Survey
Deep Learning for Medical Anomaly Detection -- A Survey
Tharindu Fernando
Harshala Gammulle
Simon Denman
S. Sridharan
Clinton Fookes
OOD
20
269
0
04 Dec 2020
A Generative Model to Synthesize EEG Data for Epileptic Seizure
  Prediction
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction
Khansa Rasheed
Junaid Qadir
T. O'Brien
L. Kuhlmann
Adeel Razi
OOD
24
57
0
01 Dec 2020
1