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A Generative Model to Synthesize EEG Data for Epileptic Seizure
  Prediction

A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction

IEEE transactions on neural systems and rehabilitation engineering (TNSRE), 2020
1 December 2020
Khansa Rasheed
Junaid Qadir
T. O'Brien
L. Kuhlmann
Adeel Razi
    OOD
ArXiv (abs)PDFHTML

Papers citing "A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction"

11 / 11 papers shown
EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
Rikuto Kotoge
Zheng Chen
Tasuku Kimura
Yasuko Matsubara
Takufumi Yanagisawa
H. Kishima
Yasushi Sakurai
190
3
0
19 Sep 2025
GEPD:GAN-Enhanced Generalizable Model for EEG-Based Detection of Parkinson's Disease
GEPD:GAN-Enhanced Generalizable Model for EEG-Based Detection of Parkinson's DiseaseInternational Conference on Intelligent Computing (ICIC), 2025
Qian Zhang
Ruilin Zhang
Biaokai Zhu
Xun Han
Jun Xiao
Y. Liu
Zhe Wang
112
2
0
12 Aug 2025
Synthetic ALS-EEG Data Augmentation for ALS Diagnosis Using Conditional WGAN with Weight Clipping
Synthetic ALS-EEG Data Augmentation for ALS Diagnosis Using Conditional WGAN with Weight Clipping
Abdulvahap Mutlu
Şengül Doğan
Türker Tuncer
174
0
0
19 Jun 2025
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG
  Representation Learning
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation LearningIndustrial Conference on Data Mining (IDM), 2024
Rikuto Kotoge
Zheng Chen
Tasuku Kimura
Yasuko Matsubara
Takufumi Yanagisawa
H. Kishima
Yasushi Sakurai
OODSSL
318
4
0
15 Oct 2024
Enhancing EEG Signal Generation through a Hybrid Approach Integrating
  Reinforcement Learning and Diffusion Models
Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models
Yang An
Yuhao Tong
Weikai Wang
Steven W. Su
DiffM
172
3
0
14 Sep 2024
Preictal Period Optimization for Deep Learning-Based Epileptic Seizure
  Prediction
Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Prediction
Petros Koutsouvelis
Bartlomiej Chybowski
Alfredo Gonzalez-Sulser
Shima Abdullateef
Javier Escudero
184
10
0
20 Jul 2024
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy
  Monitoring
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring
Luca Benfenati
T. Ingolfsson
A. Cossettini
Daniele Jahier Pagliari
Luca Bompani
Luca Benini
151
2
0
27 Jun 2024
Enhancing EEG Signal-Based Emotion Recognition with Synthetic Data:
  Diffusion Model Approach
Enhancing EEG Signal-Based Emotion Recognition with Synthetic Data: Diffusion Model Approach
Gourav Siddhad
Masakazu Iwamura
Partha Pratim Roy
DiffM
240
11
0
30 Jan 2024
Data Augmentation for Seizure Prediction with Generative Diffusion Model
Data Augmentation for Seizure Prediction with Generative Diffusion ModelIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2023
Kai Shu
Yuchang Zhao
Le Wu
Aiping Liu
Ruobing Qian
Xun Chen
DiffM
229
28
0
14 Jun 2023
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of
  Epileptic Seizures
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic SeizuresIEEE Transactions on Biomedical Engineering (IEEE TBME), 2022
Yankun Xu
Jie Yang
Mohamad Sawan
239
39
0
29 Apr 2022
C$^2$SP-Net: Joint Compression and Classification Network for Epilepsy
  Seizure Prediction
C2^22SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction
Di Wu
Yi Shi
Ziyu Wang
Jie Yang
Mohamad Sawan
341
20
0
26 Oct 2021
1
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