EEG Seizure Detection

EEG: Electroencephalography

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Overview

EEG seizure detection studies how to recognize seizure activity, mark its onset and offset, and sometimes predict seizures before they begin from scalp or intracranial recordings. Methods range from handcrafted time- and frequency-domain features with classical classifiers to CNNs, recurrent networks, transformers, and graph models that capture relationships across channels; self-supervised pretraining and EEG-video or EEG-text fusion are also used. The goal is to detect events reliably despite noisy signals and severe class imbalance, while limiting false alarms and enabling practical, interpretable monitoring. A central challenge is generalizing across patients, hospitals, and recording setups: patient-specific adaptation can help, but performance under independent evaluation and real-world distribution shifts remains difficult to establish.

Latest papers

CardsList

29 papers7 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. NOMAD-EEG: Native Omni-Montage Adaptive Diffusion

    Oct 26, 2026Abdulkader Helwan, Khadidja Henni, Lina Abou-AbbasElectroencephalographyEEG Foundation Models

    Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon · Institute of Applied Artificial Intelligence, TÉLUQ University, Montreal, Canada

  2. U-NeXt: General-purpose event detection for neonatal EEG

    Oct 23, 2026Robert Hogan, Sean R. Mathieson, Aurel Luca +4ElectroencephalographyEEG Seizure Detection

    CergenX Ltd, Cork, Ireland · INFANT Research Centre, University College Cork, Ireland · Department of Paediatrics and Child Health, University College Cork, Ireland

  3. Seeing Seizures: A Large-Scale Empirical Study of Video and EEG Deep Learning for Automated Rodent Seizure Detection and Severity Grading

    Oct 15, 2026Alloy Das, Shreyan Ganguly, Nyzil Massey +4EEG Seizure DetectionElectroencephalography

    Iowa State University, Ames, IA, USA · Arkansas State University, Jonesboro, AR, USA

  4. Towards Modality-Agnostic Seizure Classification: A Unified Deep Learning Framework for Heterogeneous EEG and Intracranial EEG Signals

    Oct 12, 2026Ramya Sundaram, Muhammad Aslam Jarwar, M Uma +2EEG Seizure DetectionMultimodal Classification

    School of Computing and Digital Technologies, Sheffield Hallam University, Sheffield and University of Strathclyde, Glasgow, United Kingdom. · School of Computing and Digital Technologies, Sheffield Hallam University, Sheffield, United Kingdom · Department of Cmputational Intelligence, SRM Institute of Science and Technology,Kattankulathur-603203, India. +2

  5. Lightweight Semantic EEG Foundation Model for Frozen Cross-Disorder Transfer

    Oct 4, 2026Rita Huan-Ting Peng, Nhat BuiEEG Seizure DetectionSelf-Supervised Pre-Training

    University of Illinois Urbana–Champaign, Urbana, IL, USA · Carle Foundation Hospital, Urbana, IL, USA

  6. NeurDuo-EEG: A Long-Sequence EEG Foundation Model with Persistent State and Explicit Memory

    Sep 29, 2026Yifan Wang, Haiping Liu, Yang Cui +13Memory-Augmented Neural NetworksElectroencephalography

    University of Manchester · ETH Zürich · Shanghai Jiao Tong University +5

  7. Spatiotemporal Hyperedges for EEG Seizure Detection and Prediction

    Sep 29, 2026Hyunju Kim, Sheo Yon Jhin, Noseong Park +1EEG Seizure DetectionGraph Neural Networks

    School of Computational Science and Engineering Georgia Institute of Technology Atlanta, GA, USA · School of Computing Korea Advanced Institute of Science and Technology Daejeon, Republic of Korea

  8. PHASE: A Physiology-Guided Hierarchical Foundation Model for Intracranial EEG

    Sep 28, 2026Yipeng Zhang, Chenda Duan, Yuanyi Ding +10EEG Seizure DetectionRepresentation Learning

    UCLA Samueli School of Engineering · UCLA Mattel Children’s Hospital, David Geffen School of Medicine · Children’s Hospital of Michigan, Wayne State University School of Medicine +1

  9. DCRA: Diffusion-Conditioned Representation Alignment for Robust Time-Series Learning

    Sep 9, 2026Wenrui Xu, Anas Enanaa, Keshab K. ParhiEEG Seizure DetectionRepresentation Learning

    University of Minnesota, Twin Cities

  10. RobustSeiz: An Open-Source Framework for Benchmarking the Robustness of EEG Seizure Detection Models

    Sep 3, 2026Mohammad Mohammadi, Alireza ZareiDistribution Shift RobustnessEEG Seizure Detection

    Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran

  11. Attention-Enhanced Dual-Branch ConvNeXt-BiLSTM Network for Subject-Independent EEG Seizure Detection

    Aug 25, 2026Maimuna Chowdhury, Sk. Imran HossainEEG Seizure DetectionElectroencephalography

    Dept. of Computer Science and Engineering Khulna University of Engineering & Technology Khulna, Bangladesh

  12. ViTexSZ: Heterogeneous Vision-Text Knowledge Distillation for EEG Seizure Detection

    Aug 19, 2026Chenxi Liu, Mingzhao Li, Yicong Liu +4EEG Seizure DetectionElectroencephalography

    Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong SAR · The First Affiliated Hospital, Sun Yat-sen University, China · The Hong Kong Polytechnic University, Hong Kong SAR +2

  13. Detecting seizure onset and offset times using human intelligence: A critical-transitions-based approach

    Jul 29, 2026Andrew Flynn, Cian McCafferty, Klaus Lehnertz +4ElectroencephalographyEEG Seizure Detection

    School of Mathematical Sciences, University College Cork, T12 XF62 Cork, Ireland. · INFANT Research Centre, University College Cork, T12 DC4A Cork, Ireland. · Department of Anatomy & Neuroscience, University College Cork, Cork, Ireland. +6

  14. Multimodal Pretraining for Generalizable EEG Representation Learning

    Jul 23, 2026Targol Bakhtiarvand, Jugal Kalita, Adham AtyabiCross-Subject EEG DecodingElectroencephalography

    Department of Computer Science, University of Colorado Colorado Springs, Colorado Springs, CO, USA

  15. NeuroGRIP: Retrieval-Augmented Graph Refinement for Knowledge-Grounded EEG Seizure Diagnosis

    Jul 15, 2026Lincan Li, Zheng Chen, Yushun DongGraph Structure LearningElectroencephalography

    Department of Computer Science, Florida State University, Tallahassee, United States · SANKEN, The University of Osaka, Japan.

  16. DiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG seizure-related Representations

    Jul 13, 2026Abdulkader Helwan, Lina Abou-Abbas, Hussein El Amouri +2ElectroencephalographyEEG Seizure Detection

    Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon · Institute of Applied Artificial Intelligence, TÉLUQ University, Montreal, Canada

  17. From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks

    Jun 20, 2026Sepideh Kheirollahi, Mohammad Rasoul RoshanshahElectroencephalographyEEG Seizure Detection

    School of Electrical and Computer Engineering College of Engineering, University of Tehran Tehran, Iran

  18. Reducing the Complexity of Deep Learning Models for EEG Analysis on Wearable Devices

    Jun 10, 2026Farough Shayeste Roodi, Parham Zilouchian Moghaddam, Mahdi Mohammadi-nasab +3ElectroencephalographyEEG Seizure Detection

    School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran · Intelligent Future Technologies (IFT), Mälardalen University, Väster˚as, Sweden · Department of Computer Systems, Tallinn University of Technology (TalTech), Tallinn, Estonia

  19. EEG-FuseFormer: A Transformer-Driven Feature Fusion Framework for Seizure Onset Prediction

    Jun 1, 2026Vigneshwar Hariharan, Chithra Reghuvaran, Arlene John +4ElectroencephalographyEEG Seizure Detection

    National University of Singapore · University College Dublin · University of Twente +1

  20. CLSP-REQA: A Real-Time Quality-Aware Closed-Loop Seizure Prediction Framework with Mamba-BiLSTM and Confidence-Gated Intervention

    May 21, 2026Mufeng Chen, Qi Wu, Bingchao Huang +4ElectroencephalographyEEG Seizure Detection

    Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom · Mathematical Institute, University of Oxford, Oxford OX2 6GG, United Kingdom · School of Computer Science and Engineering, Beihang University, Beijing 100191, China +4

  21. LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis

    Apr 30, 2026Lincan Li, Zheng Chen, Yushun DongGraph Structure LearningElectroencephalography

    Department of Computer Science, Florida State University · 2SANKEN, The University of Osaka

  22. A Multimodal Pre-trained Network for Integrated EEG-Video Seizure Detection

    Apr 29, 2026Tong Lu, Ke Xu, Zimo Zhang +12ElectroencephalographyEEG Seizure Detection

    Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China · Chinese Institute for Brain Research, Beijing, Beijing, 102206, China · Department of Neurosurgery, SanBo Brain Hospital, Capital Medical University, Beijing, 100018, China +4

  23. Classification of Epileptic iEEG using Topological Machine Learning

    Apr 13, 2026Sunia Tanweer, Narayan Puthanmadam Subramaniyam, Firas A. KhasawnehEEG Seizure DetectionTopological Data Analysis

    Department of Mechanical Engineering, Michigan State University, East Lansing, 48823, MI, USA. · Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, 48823, MI, USA. · Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. +1

  24. Optimizing EEG Graph Structure for Seizure Detection: An Information Bottleneck and Self-Supervised Learning Approach

    Apr 2, 2026Lincan Li, Rikuto Kotoge, Xihao Piao +2EEG Seizure DetectionGraph Structure Learning

    Department of Computer Science, Florida State University, Tallahassee, USA · SANKEN, The University of Osaka, Ibaraki, Japan

  25. Epileptic Seizure Detection in Separate Frequency Bands Using Feature Analysis and Graph Convolutional Neural Network (GCN) from Electroencephalogram (EEG) Signals

    Mar 31, 2026Ferdaus Anam Jibon, Fazlul Hasan Siddiqui, F. Deeba +1EEG Seizure DetectionElectroencephalography

    Department of Computer Science and Engineering, Dhaka University of Engineering & Technology (DUET), Gazipur. · Department of Computer Science and Engineering, IUBAT-International University of Business Agriculture and Technology, Uttara, Dhaka-1230. · Department of Physics, Dhaka University of Engineering & Technology (DUET), Gazipur. +1

  26. Epileptic Seizure Prediction Using Patient-Adaptive Transformer Networks

    Mar 26, 2026Mohamed Mahdi, Asma BaghdadiEEG Seizure DetectionElectroencephalography

    Information and Communication Engineering Department National Engineering School of Tunis Tunis El Manar University · REGIM-Lab, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax, 3038, Tunisia

  27. Making Conformal Predictors Robust in Healthcare Settings: a Case Study on EEG Classification

    Feb 23, 2026Arjun Chatterjee, Sayeed Sajjad Razin, John Wu +3Fair Conformal PredictionConformal Prediction

    University of Illinois Urbana-Champaign, Urbana, IL 61801, USA · PyHealth · Bangladesh University of Engineering and Technology

  28. Interpretable Multimodal EEG-ECG Framework for Neonatal Seizure Prediction and Patient-Adaptive Transfer Learning

    Nov 18, 2025Sithmini Ranasingha, Agasthi Haputhanthri, Hansa Marasinghe +5EEG Seizure DetectionCross-Subject EEG Decoding

    Department of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka · Department of Electrical and Computer Engineering, University of British Columbia, Canada · Department of Biomedical Engineering, University of Melbourne, Australia +1

  29. EEGDM: Label-Efficient EEG Representation Learning with Generative Diffusion Model

    Aug 13, 2025Jia Hong Puah, Sim Kuan Goh, Ziwei Zhang +6ElectroencephalographyEEG Seizure Detection

    School of Artificial Intelligence and Robotics, Xiamen University Malaysia · School of Energy and Chemical Engineering, Xiamen University Malaysia · Department of Biomedical Engineering, Universiti Malaya +3