Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy

Ramgopal, Sriram, Thome-Souza, Sigride, Jackson, Michele, Kadish, Navah Ester, Sánchez Fernández, Iván, Klehm, Jacquelyn, Bosl, William, Reinsberger, Claus +2 more·2014·Epilepsy & Behavior
DOI 10.1016/j.yebeh.2014.06.023

Cited by (470)

Items 301–400 of 470

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    Mohamad Amin Sharifi Kolarijani, Susan Amirsalari, Mohsen Reza Haidari · 2017 · Epilepsy Research
  2. Febrile Status Epilepticus: Time is of the Essence
    Tobias Loddenkemper · 2014 · Epiliepsy currents/Epilepsy currents
  3. Mutual information in the frequency domain for the study of biological systems
    Rui Liu, IOANNIS K. VLACHOS · 2018 · Biomedical Signal Processing and Control
  4. Functional near-infrared spectroscopy: Systematic mapping of abnormal brain function features in neurological disorders
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  5. The impact of EEG preprocessing parameters on ultra‐low‐power seizure detection
    Patrick Reisinger, Jonathan Larochelle, Ciamak Abkai, Sotirios Kalousios, Nicolas Zabler, Matthias Dümpelmann, Andreas Schulze‐Bonhage, Peter Woias, Laura Maria Comella · 2025 · Epilepsia
  6. A stochastic fusion technique for removing motion artefacts from the measurements of a wireless ECG
    Waltenegus Dargie · 2016 · IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
  7. Effective Evaluation of Medical Images Using Artificial Intelligence Techniques
    S. Kannan, G. Premalatha, M. Jamuna Rani, D. Jayakumar, P. Senthil, S. Palanivel Rajan, R. Sindhiya Devi, Kibebe Sahile · 2022 · Computational Intelligence and Neuroscience
  8. Evaluation of dynamic scaling of growing interfaces in EEG fluctuations of seizures in animal model of temporal lobe epilepsy
    Claudia Lizbeth Martínez‐González, Alexander S. Balankin, T. López, Joaquı́n Manjarrez-Marmolejo, E. Martínez Ortiz · 2017 · Computers in Biology and Medicine
  9. A Machine Learning Approach for Epileptic Seizure Prediction and Early Intervention
    Lucia Billeci, Alessandro Tonacci, Daniela Marino, Laura Insana, Giampaolo Vatti, M. Varanini · 2018 · Biosystems & biorobotics
  10. Introductory Chapter: Methods and Applications of Neural Signal Processing
    Dingyi Pei, Ramana Kumar Vinjamuri · 2020 · IntechOpen eBooks
  11. Hurst Exponent and Tsallis Entropy Markers for Epileptic Detection from Children
    Sumai Hamad Jaafer · 2021 · Al-Khwarizmi Engineering Journal
  12. A Generalized Tonic-Clonic Seizure Detection Method in a Bathtub using a Natural Language Verification Step
    Olga Petroulaki, Angeliki Bicaku, Athanasios P. Kakarountas · 2020 · Panhellenic Conference on Informatics
  13. Epileptogenicity Mapping
    Leila Ayoubian, François Tadel, Olivier David A · 2020 · Neurosurgery Clinics of North America
  14. Detection of Motor Seizures and Falls in Mobile Application using Machine Learning Classifiers
    Shafaq Zia, Ali Nawaz Khan, Mayyda Mukhtar, Shan E Ali, Jibran Shahid, Mobeen Sohail · 2020 · IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
  15. Autosomal dominant nocturnal frontal lobe epilepsy seizure characterization through wavelet transform of eeg records and self organizing maps
    Barbara Pisano, B. Cannas, Giulia Milioli, Augusto Montisci, Fabio Pisano, Monica Puligheddu, Giuliana Sias, Alessandra Fanni · 2016 · Machine learning for signal processing ...
  16. Automated Pre-Seizure Detection for Epileptic Patients Using Machine Learning Methods
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  17. Correntropy Based Hierarchical Linear Dynamical System For Speech Recognition
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  18. Pediatric Seizure Forecasting using Nonlinear Features and Gaussian Mixture Hidden Markov Models on Scalp EEG Signals
    Carlos Emiliano Solórzano-Espíndola, Blanca Tovar-Corona, Álvaro Anzueto-Ríos · 2018 · International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
  19. Preictal Time Assessment using Heart Rate Variability Features in Drug-resistant Epilepsy Patients
    Adriana Leal, Mauro F. Pinto, Jorge M. O. Henriques, M.G. Ruano, P. Carvalho, César Teixeira · 2019 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  20. Emotional recognition with wearable EEG device
    Akihito Suzuki, Hidekatsu Ito, Masaki Ishii, Kohji Dohsaka · 2019 · IEEE Global Conference on Life Sciences and Technologies (LifeTech)
  21. Prediction of Epilepsy Seizure Based on Cepstrum Analysis and Deep Learning
    Fan Zhang, Xinhong Zhang · 2025 · Interdisciplinary Sciences Computational Life Sciences
  22. The Therapeutic Loop: Closed-Loop Epilepsy Systems Mirroring the Read–Write Architecture of Brain–Computer Interfaces
    Justo Montoya-Gálvez, Karla Ivankovic, Rodrigo Rocamora, Alessandro Príncipe · 2025 · Applied Sciences
  23. EARLY WARNING PREDICTION WITH AUTOMATIC LABELLING IN EPILEPSY PATIENTS
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  24. The impact and dissemination of scientific research: From impact factor to social media. The Top 10 articles in Epilepsy & Behavior published in 2014
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  25. NEW FRONTIERS
    Richard Robinson · 2015 · Neurology Today
  26. Detection of Nocturnal Epileptic Seizures from Wireless Inertial Measurements and Muscular Activity
    Mostafa Gheryani, Osman Salem, Ahmed Mehaoua · 2017 · Globecom
  27. Cognitive radio system for interference reduction in BANETs focused on epilepsy diagnosis
    Sergio Manuel Martínez Chávez, Mario E. Rivero-Ángeles, Laura Ivoone Garay Jiménez, Elena Fabiola Ruiz Ledesma · 2018 · Computer Networks
  28. Controlling Seizures with Technology: Researchers Are Working to Predict and Prevent Epileptic Seizures Before They Happen
    Mary Bates · 2018 · IEEE Pulse
  29. Human Activity Recognition Using Portable EEG Sensor and Support Vector Machine
    Shafaq Zia, Ali Nawaz Khan, Mayyda Mukhtar, Shan E Ali · 2021 · International Conference on Engineering and Emerging Technologies (ICEET)
  30. Classifier Combination Supported by the Sleep-Wake Cycle Improves EEG Seizure Prediction Performance
    Ana Oliveira, Mauro F. Pinto, Fábio Lopes, Adriana Leal, César Teixeira · 2024 · IEEE Transactions on Biomedical Engineering
  31. An innovative approach harmonizing convolution and self-attention to enhance EEG-based seizure detection
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  32. A comparison between wavelet families to compress an EEG signal
    Jesús G. Servín-Aguilar, Luis Rizo-Domínguez, Jorge A. Pardiñas-Mir · 2016 · IEEE ANDESCON
  33. Can a collaborative healthcare network improve the care of people with epilepsy?
    Ejaz A. Shamim, Ketan K. Mane, Tobias Loddenkemper, Alan Leviton · 2018 · Epilepsy & Behavior
  34. Kapsül Ağları Kullanılarak EEG Sinyallerinin Sınıflandırılması
    Suat Toraman · 2020 · Fırat Üniversitesi Mühendislik Bilimleri Dergisi
  35. Earlier tachycardia for seizures originating from the right versus left hemisphere in a patient with bilateral mesial temporal lobe epilepsy
    Kei Yanai, Seijiro Shimada, Naoto Kunii, Megumi Takasago, Kazuhiko Takabatake, Nobuhito Saito · 2020 · Clinical Neurophysiology
  36. Novel images extraction model using improved delay vector variance feature extraction and multi-kernel neural network for EEG detection and prediction
    Jing Ge, Guoping Zhang · 2015 · Technology and Health Care
  37. A Simple Distance Based Seizure Onset Detection Algorithm Using Common Spatial Patterns
    Sina Khanmohammadi, Chun-An Chou · 2016 · Lecture notes in computer science
  38. Pre-Clinical Study on the Detection of Simulated Epileptic Seizures
    Paula M. Vergara, Jose Ramon Villar, Enrique de la Cal, Manuel Menéndez‐González, Javier Sedano · 2016 · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems
  39. A symbolic dynamics approach to Epileptic Chronnectomics: Employing strings to predict crisis onset
    Nantia D. Iakovidou, Nikolaos Laskaris, Costas Tsichlas, Yannis Manolopoulos, Manolis Christodoulakis, Eleftherios Stelios Papathanasiou, Savvas Papacostas, Georgios D. Mitsis · 2017 · Theoretical Computer Science
  40. Control of epileptic seizures in WAG/Rij rats by means of brain-computer interface
    Vladimir V. Makarov, Vladimir A. Maximenko, Gilles van Luijtelaar, Annika Lüttjohann, Alexander E. Hramov · 2018 · Dynamics and Fluctuations in Biomedical Photonics
  41. Multimodal Detection of Tonic–Clonic Seizures Based on 3D Acceleration and Heart Rate Data from an In-Ear Sensor
    Jasmin Henze, Salima Houta, Rainer Surges, Johannes Kreuzer, Pinar Bisgin · 2021 · Lecture notes in computer science
  42. Implementing Neural Network and Multi resolution analysis in EEG signal for early detection of epilepsy
    Sachin Shrestha, Rupesh Dahi Shrestha, Bhoj Raj Thapa · 2019 · SCITECH Nepal
  43. A framework for seizure detection using effective connectivity, graph theory and deep modular neural networks
    Behnaz Akbarian, Abbas Erfanian · 2019 · arXiv (Cornell University)
  44. Adaptive, Unlabeled and Real-time Approximate-Learning Platform (AURA) for Personalized Epileptic Seizure Forecasting
    Yikai Yang, Nhan Duy Truong, Jason K. Eshraghian, Armin Nikpour, Omid Kavehei · 2021 · medRxiv
  45. On the viability of ECG features for seizure anticipation on long-term data
    Adriana Leal, M.G. Ruano, Jorge M. O. Henriques, P. Carvalho, César Teixeira · 2017 · IEEE International Forum on Research and Technology for Society and Industry (RTSI)
  46. Cardiovascular changes: a biomarker for seizures after hypoxia-ischaemia in preterm fetal sheep
    Olivia J. Lear, Victoria J. King, Christopher A. Lear, Kelly Q. Zhou, Benjamin Alan Lear, Joanne O. Davidson, Alistair Jan Gunn, Laura Bennet, Simerdeep Kaur Dhillon · 2025 · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology
  47. Robust epileptic seizure prediction: A 3D-SERESNet framework for patient-specific and multi-patient generalization
    Lu Meng, Lijun Zhou, Wentao Zhang, Xie Keli · 2025 · iScience
  48. Prospective evaluation of a seizure detection wearable device for timely interventions in an epilepsy monitoring unit
    Amirhossein Jahani, Daniel Alejandro Galindo Lazo, Isabel Sarzo Wabi, Oumayma Gharbi, Manon Robert, Juan Pablo Millán, Gianluca D’Onofrio, Alexis Robin, Dang Khoa Nguyen, Elie Bou Assi · 2026 · Epilepsia
  49. A SPCNN Model for Patient-Independent Prediction of Epilepsy Using MFCC Features
    Siyuan Guo, Fan Zhang · 2022 · International Conference on Information Science and Technology
  50. Peri-Ictal Heart Rate Changes in Patients with Epilepsy
    İrem Fatma Uludağ, Onural Tümer, Ufuk Şener · 2023 · Nigerian Journal of Clinical Practice
  51. Prediction of Epilepsy Seizures by Machine Learning Methods
    Mayuri Tushar Deshmukh, Shekhar R. Suralkar · 2023 · International Journal on Recent and Innovation Trends in Computing and Communication
  52. PREDICTING STATES OF EPILEPSY PATIENTS USING DEEP LEARNING MODELS
    Boutkhil Sidaoui · 2024 · Applied Computer Science
  53. Exploring the Temporal Structure of Scalp EEG for Epilepsy Seizure Prediction
    Wenzhuo Shen, Zhiyuan Yang, Guanglong Zhang, Guixia Kang · 2024 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  54. Lampsy: An Invisible Real-Time Epilepsy Video Monitoring and Automatic Seizure Detection Device
    Vicente M. Garção, Mariana Abreu, Francisca Sá, Ana Rita Peralta, Carla C Bentes, Ana L. N. Fred, Hugo Silva · 2025 · IEEE Access
  55. EpiSense: Towards a smart solution for epileptic patients’ care
    May El Barachi, Farhad Oroumchian, Rabia Rauf, Uroosa Khan, Beschier al Hassooni, Alexander al Basosi, Shaza Kazia · 2019 · International Conference on Smart and Sustainable Technologies (SpliTech)
  56. Epileptic Seizure Prediction from Scalp EEG Using Ratios of Spectral Power
    Noe Salvatierra, Renato Sakanishi, Christian Flores · 2020 · IEEE Engineering International Research Conference (EIRCON)
  57. Introducing weighted approaches to study network brain dynamics from EEG epilepsy measurements: The EigenBrain algorithm
    Nantia D. Iakovidou, Manolis Christodoulakis, Eleftherios Stelios Papathanasiou, Savvas Papacostas, Georgios D. Mitsis · 2015 · IEEE International Conference on Bioinformatics and Bioengineering (BIBE)
  58. Comparing ACO Approaches in Epilepsy Seizures
    Paula M. Vergara, Jose Ramon Villar, Enrique de la Cal, Manuel Menéndez‐González, Javier Sedano · 2016 · Lecture notes in computer science
  59. Mortality in Children with Epilepsy
    Jeffrey Buchalter, Carol Camfield, PETER R. CAMFIELD · 2017 · Elsevier eBooks
  60. Application of self organizing map to identify nocturnal epileptic seizures
    Barbara Pisano, Alessandra Fanni, César Teixeira, António Dourado · 2017 · Workshop on Self-Organizing Maps
  61. Epileptic seizure detection using micro sensor
    Snehal Tonpe, Yashwant G. Adhav, Atul K. Joshi · 2017 · International Conference on Communications and Signal Processing (ICCSP)
  62. Self-Reporting Technologies for Supporting Epilepsy Treatment
    Jonathan Bidwell, Eliana Kovich, Cam Escoffery, Cherise Frazier, Elizabeth D. Mynatt · 2018 · InTech eBooks
  63. An Overview of Detection and Prediction of Seizure or Epilepsy
    Amol W. Pardhi, S. W. Varade · 2020 · International Conference on Electronics and Sustainable Communication Systems (ICESC)
  64. Dual stream neural networks for brain signal classification
    Dongyang Kuang, Craig Michoski · 2020 · Journal of Neural Engineering
  65. Predicting Epileptic Seizures—An Update
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  66. Person-dependent seizure detection using statistical CUSUM detector: Preliminary results
    Safaa M. Eldeeb, Matthew Sybeldon, Büşra Tuğçe Susam, Murat Akcakaya, Thomas A. Wozny, Jullie W. Pan, Robert Mark Richardson, Anto I. Bagic, Arun Raj Antony · 2021 · Expert Systems with Applications
  67. Automatische Erkennung von epilepsietypischen Potenzialen und Anfällen im EEG
    Christoph Baumgartner, Sebastian Hafner, Johannes Peter Koren · 2021 · Fortschritte der Neurologie · Psychiatrie
  68. Automatische Erkennung von epilepsietypischen Potenzialen und Anfällen im EEG
    Christoph Baumgartner, Sebastian Hafner, Johannes Peter Koren · 2020 · Klinische Neurophysiologie
  69. A fuzzy sensitivity analysis approach to estimate brain effective connectivity and its application to epileptic seizure detection
    Nader Moharamzadeh, Ali Motie Nasrabadi · 2021 · Biomedizinische Technik/Biomedical Engineering
  70. Quantitative EEG and machine learning methods for the detection of epileptic seizures and cerebral asymmetry
    Bogaarts · 2017
  71. Multi-modal Analysis for the Automatic Evaluation of Epilepsy
    David Ahmedt‐Aristizabal · 2019 · Queensland University of Technology
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  73. Model-Based Automatic Seizure Detection of EEG Signal Analysis by Frequency and Time Domain Methods
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  74. Epileptic seizure clustering and accumulation at transition from activity to rest in GAERS rats
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  75. Advanced Seizure Prediction System for Wearable Health Management Devices using KNN Algorithm
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  82. A Preliminary Cooperative Genetic Fuzzy Proposal for Epilepsy Identification Using Wearable Devices
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  84. Development of classification algorithm for epileptic seizures using electrocardiogram signal
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