Classification of patterns of EEG synchronization for seizure prediction

Cited by (376)

Items 301–376 of 376

  1. Predicting Epileptic Seizures—An Update
    Klaus Lehnertz · 2021 · Understanding complex systems
  2. Classification of Human Facial Portrait Using EEG Signal Processing and Deep Learning Algorithms
    Jehangir Arshad, Saqib Salim, Amna Khokhar, Zanib Zulfiqar, Talha Younas, Ateeq Ur Rehman, Mohit Bajaj, Subhashree Choudhury · 2022 · Smart innovation, systems and technologies
  3. A Machine learning Classification approach for detection of Covid 19 using CT images
    Suguna G. Chickaramanna, S. T. Veerabhadrappa, A Tejas, P Vaishnavi, Raghunandan Gowda, Panchami Udupa, Spoorthy, Smitha Reddy, E Sudarshan · 2022 · EMITTER International Journal of Engineering Technology
  4. Reduced-complexity epileptic seizure prediction with EEG.
    Yun Sang Park · 2012 · University of Minnesota Digital Conservancy (University of Minnesota)
  5. Algorithms for epilepsy monitoring
    G. Vatti, Paolo Detti, Zabalo Manrique de Lara, L. Billeci, A. Tonacci, M. Varanini · 2020 · Elsevier eBooks
  6. Electroencephalography (EEG) in epilepsy care: An introduction
    Suman Das · 2024 · Elsevier eBooks
  7. Prominent astrocytic GLAST pathology occurs in newborn human and piglet hypoxic–ischemic encephalopathy: modeling relationships among laminar neuropathology, seizures, and therapeutic hypothermia
    Dongseok Park, Caitlin E. O’Brien, Jennifer K. Lee, Lee J. Martin · 2026 · Frontiers in Cellular Neuroscience
  8. Seizure Prediction for iEEG Signal with Bag-of-Wave Model and Extreme Learning Machine
    Song Cui, Lijuan Duan, Yuanhua Qiao, Xing Su · 2018 · Proceedings in adaptation, learning and optimization
  9. A Survey on Epilepsy Seizure Detection Using Machine Learning Technique
    N. Saranya, Karthika Renuka D · 2020 · INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY
  10. SeiFuD: A novel deep learning framework leveraging domain generalization for cross-subject seizure prediction
    Sha Zhao, Caibo Zhang, Jiquan Wang, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan · 2025 · Neurocomputing
  11. Electroencephalogram wave signal analysis and epileptic seizure prediction using supervised classification approach
    Devi S. T. Pavithra, M. S. Vijaya · 2010 · Amrita ACM-W Celebration on Women in Computing in India
  12. Methods of nonlinear dynamics in estimation of electroencephalograms of healthy people and of patients with epilepsy
    Д.К. Камбарова, Victor Vasilyevich Belyaev, A. V. Volkova, S. G. Oganesyan, V. Z. El Salim, G. A. Oganesyan · 2010 · Journal of Evolutionary Biochemistry and Physiology
  13. Noise-assisted intrinsic mode function coherence in seizure anticipation
    Daniel W. Moller, A.W.L. Chiu · 2011 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  14. Ensembles of Multiobjective-Based Classifiers for Detection of Epileptic Seizures
    Fernando dos Santos Beserra, Marcos M. Raimundo, Fernando José Von Zuben · 2018 · Lecture notes in computer science
  15. Epileptic Seizure Prediction Using Data Mining Algorithms
    Ilyas Zidane, Jamal El Mhamdi, Nordine Zidane · 2020 · International Conference on Electrical and Information Technologies
  16. Feature Evaluation for Seizure Prediction Using EEG
    Sana Ahmad, Nidal Rafiuddin, Yusuf Uzzaman Khan · 2021 · IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)
  17. Epilepsy prediction based on PTE and TE of EEG signals using DSC-CNN
    Yanping Mu, Xiaofeng Zhang, Meng Zhang, Huimin Wang · 2022 · International Conference on Information Science and Technology
  18. Main Existing Datasets for Open Brain Research on Humans
    Baptiste Couvy‐Duchesne, Simona Bottani, Etienne Camenen, Fang Fang, Mulusew Fikere, Juliana Gonzalez-Astudillo, Joshua Harvey, Ravi Hassanaly, Irfahan Kassam, Penelope A. Lind et al. · 2023 · Neuromethods
  19. Deep Learning Models in Healthcare
    Shaktisinh Thakur, Supriya Narad · 2024 · DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIHEI)
  20. Predicting seizure episodes and high-risk events in autism through adverse behavioral patterns
    Yashar Kiarashi, Johanna F. Lantz, Matthew A. Reyna, Conor Anderson, Ali Bahrami Rad, Jenny Foster, Tania Villavicencio, Theresa Hamlin, Gari D. Clifford · 2025 · Physiological Measurement
  21. Patient-specific seizure onset detection based on CSP-enhanced energy and neural synchronization decision fusion
    Marwa Qaraqe · 2017 · International Conference on Modeling, Simulation, and Applied Optimization
  22. A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG
    Jianhai Zhang, Jianting Cao, Na Zhang, Wanzeng Kong, Jiajia Tang, Yong Kang Peng · 2018 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  23. Analysis of Deep Coma and Brain Death Based on Phase Synchronization with EEG
    Na Zhang, Jianhai Zhang, Jianting Cao, Yao Miao, Li Zhu, Wanzeng Kong · 2018 · International Conference on Signal Processing
  24. Seizure Prediction With HIVE-CODAs: The Hierarchical Vote Collective of Domain Adaptation Methods
    Peizhen Peng · 2022 · Frontiers in Physics
  25. Artificial Intelligence (AI) in Neurosurgery
    An Ping Junming Zhu, Bin Xu · 2022 · Springer eBooks
  26. Neurological Disease Prediction Based on EEG Signals Using Machine Learning Approaches
    Zahraa Maan Sallal, Alyaa A. Abbas · 2024 · Lecture notes in networks and systems
  27. Epileptic seizure prediction based on Convolutional neural networks and optimization techniques
    Dineshkumar shanmugam, Viswanathan Nallasamy · 2024 · Research Square
  28. Evaluation of some physiological statements about seizure, using processing of epileptic EEG signals
    Farzaneh Shayegh, Rassoul Amirfattahi, Saeid Sadri, Karim Ansari-Asl · 2011 · Iranian Conference on Electrical Engineering
  29. Epileptic Seizure Prediction By Exploiting Signal Transitions Phenomena
    Mohammad Zavid Parvez, Manoranjan Paul · 2015 · Zenodo (CERN European Organization for Nuclear Research)
  30. Automatic Seizure Detection in an In-Vivo Model of Epilepsy
    G Saulnier, Joëlle Pineau · 2011 · National Conference on Artificial Intelligence
  31. Epileptic Seizure Prediction Focusing on Relative Change in Consecutive Segments of EEG Signal
    Mohammad Zavid Parvez, Manoranjan Paul · 2015 · International Conference on Bioinformatics
  32. Does predefined erp implementation methodology work for public companies in transitioning country? Classification of EEG signals for epileptic seizure prediction using ANN
    AbdulhamitSubasi JasminKevric · 2011
  33. Conjuntos K de redes neurais e sua aplicação na classificação de imagética motora
    Denis Renato de Moraes Piazentin · 2014
  34. Correlation between EEG channels for epileptic seizure prediction
    Oleg Panichev, Anton Oleksandrovych Popov, Mykhailo Zhukov, V.I. Kharitonov · 2015 · Electronics and Communications
  35. Convolutional Neural Networks for Early Seizure Alert System
    Tomas Iešmantas, Robertas Alzbutas · 2017 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
  36. Chaotic Dynamics in Brain Activity: An Approach Based on Cross-Prediction Errors for Nonstationary Signals
    Birajara Soares Machado, André Ricardo Oliveira Fonseca, Edgard Morya, Edson Amaro · 2018 · Advances in Data Science and Adaptive Analysis
  37. Knowledge extraction, modeling and formalization: EEG case study
    Morozov, Dmitry, Mario Lezoche, Hervé Panetto · 2018 · arXiv (Cornell University)
  38. A Novel Seizure Prediction Method Based on Generative Features
    Lili Liu, Lijuan Duan, Ying Xiao, Yuanhua Qiao · 2018 · Lecture notes in computer science
  39. Connectivity Analysis of Electroencephalograms in Epilepsy
    Panuwat Janwattanapong · 2018
  40. Unsupervised learning: application to epilepsy
    Gabriel Mauricio Martínez-Toro, Dewar Willmer Rico-Bautista, Efrén Romero-Riaño, Paola Andrea Romero-Riaño · 2019 · Revista Colombiana de Computación
  41. A network-based data fusion method for multi-modal physiological signals
    Miaolin Fan · 2019
  42. An Evolving-Dynamic Network Activity Approach to Epileptic Seizure Prediction using Machine Learning
    Christine Joy Liu, Jordan M. Sorokin, Surya Ganguli, John R. Huguenard · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  43. Autonomous Estimation of Patients’ Neuropsychological State Using Convolutional Neural Networks
    Somaye Mohammadyan, Keivan Navi, Babak Majidi · 2019 · Journal of Neurodevelopmental Cognition
  44. Prediction of Depression Using EEG: A Comparative Study
    Namrata P. Mohanty, Sweta Shree Dash, Sandeep Sobhan, Tripti Swarnkar · 2020 · Advances in intelligent systems and computing
  45. Quantification of nonlinear interdependence in complex systems dynamics: simulations and applications
    Пыко Никита Сергеевич, Пыко Светлана Анатольевна, В. Н. Михайлов, Mikhail I. Bogachev · 2020 · Journal of Physics Conference Series
  46. A Review of Epileptic Seizure Prediction: Physiological Mechanism and Data Based Attempts
    Alfred Akpoveta Susu, Agboola HA · 2021 · Journal of Neurology Research Review & Reports
  47. Framework to select the top ML classifier for robust seizure detection and prediction: A comparison-based study using multiple preictal time and feature sets
    Rajlakshmi Borthakur, Amit Kumar, Upendra Kumar Jena, Dibya Jyoti Borthakur · 2021 · Research Square
  48. Determining the Role of Synchrony Dynamics in Epileptic Brain Networks
    Tiwalade Sobayo, Sina Farahmand, David Jeffery Mogul · 2022 · Handbook of Neuroengineering
  49. High-performance detectors for epileptic seizure by machine learning techniques
    Fernando dos Santos Beserra · 2018
  50. References
    2019 · Elsevier eBooks
  51. Literature Survey
    Sandeep Kumar Satapathy, Satchidananda Dehuri, Alok Kumar Jagadev, Debahuti Mishra · 2019 · Elsevier eBooks
  52. Advances in Primary Progressive Aphasia
    Jordi A. Matías‐Guiu, Robert Jr Laforce, Rene L. Utianski · 2022 · MDPI eBooks
  53. Deep Learning Based EEG Analysis Using Video Analytics
    Darshil Shah, Meghna Govind, Gopika Gopan K, Neelam Sinha · 2022 · Proceedings - International Conference on Image Processing
  54. Multivariate analysis and machine learning in pediatric epilepsy research: A literature review
    Jing Zhang · 2021 · International Journal of Radiology & Radiation Therapy
  55. EEG Signal Classification using Convolutional Neural Network
    D. Sharmiladevi, S Nishanth, S Logeswaran, Rajkumar S · 2023 · International Conference on Artificial Intelligence and Smart Energy (ICAIS)
  56. Epileptic Seizure Prediction Using Artificial Intelligence Methods
    Ilyas Zidane, Jamal El Mhamdi, Mostafa Ezziyyani, Wajih Rhalem, Nordine Zidane · 2023 · Lecture notes in networks and systems
  57. Seizure Prediction Based on Multidimensional EEG Spatial Matrix and Residual Network Structure
    Jiahao Zhang, Qingfang Meng, Zewen Wang · 2023 · Lecture notes in computer science
  58. Conclusion
    Niha Kamal Basha, Surbhi Bhatia Khan, Abhishek Kumar, Arwa Mashat · 2023 · Wiley eBooks
  59. Enhancing EEG Signals Classification through Spatio-Temporal Feature Fusion in Dense Connection Neural Networks
    Mengxue Liu, Wenhui Guo, Jingyuan Chen, Bingfeng Zhang, Yanjiang Wang · 2024 · International Conference on Signal Processing
  60. Steady-State Visual-Evoked-Potential–Driven Quadrotor Control Using a Deep Residual CNN for Short-Time Signal Classification
    Jiannan Chen, Chenju Yang, Rao Wei, Changchun Hua, Dianrui Mu, Fuchun Sun · 2025 · Sensors
  61. EpiPredict: A Smart Solution for Real-Time Epileptic Seizure Prediction and Alerts Based on Machine Learning Models
    Rehab Naily, Mourad Zaied · 2025 · Communications in computer and information science
  62. Prediction of longitudinal outcomes and novel cluster identification in epilepsy
    Kyungil Park, Sungeun Hwang, Youmin Shin, Yong-Jeong Kim, Seung-Bo Lee, Hyoshin Son, Mi-Kyoung Kang, Jangsup Moon, Soon-Tae Lee, Keun-Hwa Jung et al. · 2025 · Scientific Reports
  63. Deep Learning Models: Transformative Potential of AI in Healthcare
    Shaktisinh Rathore, Supriya Narad · 2026 · Communications in computer and information science
  64. Time localized trigger for phase synchronization transition in complex neuronal networks
    Thiago de Lima Prado, Robison J. S. Silva, Gabriel Marghoti, Sergio Roberto Roberto Lopes, Miguel A. F. Sanjuan · 2026 · SSRN Electronic Journal
  65. Time localized trigger for phase synchronization transition in complex neuronal networks
    Thiago de Lima Prado, Robison J. S. Silva, Gabriel Marghoti, Sergio Roberto Roberto Lopes, Miguel A. F. Sanjuan · 2026 · SSRN Electronic Journal
  66. Can EEG Foundation Models Help with Epileptic Seizure Prediction?
    Xudong Guo, L. C. Liu, Sha Lu, Jiuyong Li, Thuc duy Le, Jixue Liu · 2025 · IEEE International Conference on Big Data (BigData)
  67. Learning from electrophysiology time series during sleep : from scoring to event detection
    Stanislas Chambon · 2018 · theses.fr (ABES)
  68. A Hybrid Approach for Classifying Averaged EEG Signal into Ictal and Non-ictal States Using SVM and Random Forest Guided by K-Means Labelling
    Sanjay S. Menon, Hema P Menon, Lakshmi Priya Nair, Davidson Devasia · 2026 · Lecture notes in networks and systems
  69. Time localized trigger for phase synchronization transition in complex neuronal networks
    Thiago de Lima Prado, Robison J. Santos-Silva, Gabriel Marghoti, S. R. Lopes, Miguel A F Sanjuán · 2026 · Communications in Nonlinear Science and Numerical Simulation
  70. Accurate and Efficient Seizure Prediction Using Legendre Memory Units
    Danial Baharlouei, Alireza Ahrar, Maher M. Assaad, Mostafa Rahimi Azghadi, Amirali Amirsoleimani · 2026 · IEEE International Symposium on Circuits and Systems proceedings
  71. Development of Deep Learning Algorithms for Automatic Detection of Subtle Patterns in EEG Signals for the Diagnosis and Monitoring of Subclinical Seizure Activity
    Hussein Mohammed Qasim · 2026 · Electrical engineering technical journal.
  72. CMEpiNet: Complex-Valued Multimodal Epilepsy Detection Network Model
    Tianyi Su, Haiyan Zhu, Shuai Chen, Haifeng Wang · 2026 · Sensors
  73. EEG-Based Multi-Class Seizure Detection Using Classical Machine Learning and Deep Neural Networks
    Hayat Hussain Reshi, Mankirat Kaur, Gurmeet Singh · 2026 · International Conference on Computational Intelligence and Communication Networks (CICN)
  74. A Quality Assurance Framework for Governing Reliability in Clinical AI Systems: A Case Study in EEG-Based Seizure Detection
    Qaiser Khan · 2026 · IEEE International Conference on Healthcare Informatics (ICHI)
  75. EEG Seizure Detection Using a Lightweight TCN–Self-Attention Network with Adaptive Token Pooling
    Ashish Gupta, Upasana Talukdar, Shyamanta Moni Hazarika · 2026 · IEEE Guwahati Subsection Conference (GCON)
  76. EEG Tabanlı Epilepsi Tespitinde 1D-CNN ve BiLSTM Modellerinin Karşılaştırmalı Analizi
    Osman Buğrahan Karaman, Yasemin Gültepe · 2026 · Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi