Elmiko Biosignals（埃尔米科生物信号公司）；Institute of Psychiatry and Neurology（精神病学与神经病学研究所）；Systems Research Institute of the Polish Academy of Sciences（波兰科学院系统研究所）；Gdansk University of Technology（格但斯克工业大学）
Lukasz Czekaj, Wojciech Ziembla, Pawel Jezierski, Pawel Swiniarski, Anna Kolodziejak, Pawel Ogniewski, Pawel Niedbalski, Anna Jezierska, Daniel Wesierski
Preventing early progression of epilepsy and so the severity of seizures requires an effective diagnosis. Epileptic transients indicate the ability to develop seizures but humans overlook such brief events in an electroencephalogram (EEG) what compromises patient treatment. Traditionally, training of the EEG event detection algorithms has relied on ground truth labels, obtained from the consensus of the majority of labelers. In this work, we go beyond labeler consensus on EEG data. Our event descriptor integrates EEG signal features with one-hot encoded labeler category that is a key to improved generalization performance. Notably, boosted decision trees take advantage of singly-labeled but more varied training sets. Our quantitative experiments show the proposed labeler-hot epileptic event detector consistently outperforms a consensus-trained detector and maintains confidence bounds of the detection. The results on our infant EEG recordings suggest datasets can gain higher event variety faster and thus better performance by shifting available human effort from consensus-oriented to separate labeling when labels include both, the event and the labeler category.
Epileptic Seizure Detection in Separate Frequency Bands Using Feature Analysis and Graph Convolutional Neural Network (GCN) from Electroencephalogram (EEG) Signals
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers
São Carlos School of Engineering（圣卡洛斯工程学院）；University of São Paulo（圣保罗大学）；Istituto Italiano di Tecnologia（意大利技术研究院）；Medical School of Ribeirão Preto（里贝朗普雷图医学院）
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data
KU Leuven（鲁汶大学）；Leuven Brain Institute（鲁汶脑科学研究所）；Maastricht UMC+（马斯特里赫特大学医学中心+）；University Hospitals Leuven（鲁汶大学医院）；Delft University of Technology（代尔夫特理工大学）
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Monash University（莫纳什大学）；Alfred Health（阿尔弗雷德健康）；The University of Melbourne（墨尔本大学）；Faculty of Information Technology, Monash University（莫纳什大学信息技术学院）；St. Vincent’s Hospital, The University of Melbourne（墨尔本大学圣文森特医院）；Turner Institute for Brain and Mental Health, Monash University（莫纳什大学特纳脑与心理健康研究所）；Monash Biomedical Imaging, Monash University（莫纳什大学生物医学成像）；Wellcome Centre for Human Neuroimaging, UCL（伦敦大学学院人类神经成像威尔康姆中心）
EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network
Graduate School of Advanced Science and Engineering, Hiroshima University（Hiroshima大学先进科学与工程研究生院）；Department of Pediatric Neurology, Okayama University Hospital（Okayama大学医院儿科神经科）
Neural Network Based Epileptic EEG Detection and Classification
Indian Institute of Information Technology, Sonepat（印度信息技术学院，索尼帕特）；National Institute of Technology, Kurukshetra（国立技术学院，库鲁克舍特拉）；Punjab Agricultural University（旁遮普农业大学）
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
K. N. Toosi University of Technology（K. N. 图西理工大学）；Ferdowsi University of Mashhad（马什哈德菲尔多西大学）；Semnan University（塞姆南大学）；Deakin University（迪肯大学）；University of California, San Francisco（加州大学旧金山分校）
Canine EEG Helps Human: Cross-Species and Cross-Modality Epileptic Seizure Detection via Multi-Space Alignment
Ministry of Education Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology（教育部图像处理与智能控制重点实验室，人工智能与自动化学院，华中科技大学）；Hubei Key Laboratory of Brain-inspired Intelligent Systems, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology（湖北省脑启发智能系统重点实验室，人工智能与自动化学院，华中科技大学）
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies
K. N. Toosi University of Technology（K. N. 图西理工大学）；Deakin University（迪肯大学）；University of Turku（图尔库大学）；Effat University（埃法特大学）；Ngee Ann Polytechnic（义安理工学院）；SUSS University（新跃社科大学）；Asia University（亚洲大学）
Epileptic Seizure Prediction Using Patient-Adaptive Transformer Networks
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 National Engineering School of Tunis Tunis El Manar University
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection
School of Artificial Intelligence and Computer Science, Jiangnan University and Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education（江南大学人工智能与计算机科学学院，智能医疗技术工程研究中心，教育部）；School of Computer and Information Engineering, Institute for Artificial Intelligence, Shanghai Polytechnic University（上海理工大学计算机与信息工程学院，人工智能研究院）；School of Internet of Things Engineering, Wuxi University（无锡大学物联网工程学院）
Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier
Epilepsy and Telemetry Integral Center（癫痫与遥测综合中心）；Foundation for the Fight against Pediatric Neurological Disease (FLENI)（儿童神经疾病防治基金会（FLENI））；University of Toulouse（图卢兹大学）；IRIT-INP-ENSEEIHT（IRIT-INP-ENSEEIHT（法国国立应用科学学院图卢兹分院计算机科学、电子、电信与系统研究所））
DistilCLIP-EEG: Enhancing Epileptic Seizure Detection Through Multi-modal Learning and Knowledge Distillation
Aliyun School of Big Data, Changzhou University（阿里云大数据学院，长洲大学）；Department of Computing, Xi’an JiaoTong-Liverpool University（计算系，西安交通大学-利物浦大学）；Department of Computer Science, University of Liverpool（计算机科学系，利物浦大学）；Center for Artificial Intelligence in Agriculture, Fujian Agriculture and Forestry University（农业人工智能中心，福建农林大学）
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals
EPFL（洛桑联邦理工学院）；University of Applied Sciences Western Switzerland (HEIG-VD/HES-SO)（瑞士西部应用科学大学（日内瓦湖高等学院/瑞士西部应用科学与艺术大学））；Centre Hospitalier Universitaire Vaudois (CHUV)（沃州大学中心医院）；University of Lausanne（洛桑大学）；University of Lyon（里昂大学）；Lyon’s Neurosciences Research Center (INSERM U1028/CNRS UMR 5292)（里昂神经科学研究中心（法国国家健康与医学研究院U1028/法国国家科学研究中心UMR 5292））
Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
Department of Computer Science, Medical Data Privacy and Privacy-Preserving Machine Learning (MDPPML) Group and Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen（计算机科学系、医疗数据隐私与隐私保护机器学习（MDPPML）小组和生物信息学与医学信息学研究所（IBMI）、图宾根大学）；Department of Computer Science and the School of Data Science and Society, University of North Carolina at Chapel Hill（计算机科学系和数据科学与社会学院、北卡罗来纳大学教堂山分校）
Random Forest classifier for EEG-based seizure prediction
Paris Brian Institute（巴黎大脑研究所）；CentraleSupélec（巴黎中央理工-高等电力学院）；National Centre for scientific research（法国国家科学研究中心）；Hôpital de La Pitié Salpêtrière（皮提耶-萨尔佩特里埃医院）
Federated Few-Shot Learning for Epileptic Seizure Detection Under Privacy Constraints
Pro2Future GmbH（Pro2Future公司）；Institute for Machine Learning（机器学习研究所）；Johannes Kepler University（约瑟夫·约瑟夫·凯普勒大学）；Institute of Pervasive Computing（普及计算研究所）
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy
Frankfurt Institute for Advanced Studies (FIAS)（法兰克福高等研究院）；Goethe University Frankfurt（法兰克福大学）；Center for Personalized Translational Epilepsy Research (CePTER)（个性化转化癫痫研究中心）
Novel Epileptic Seizure Detection Techniques and their Empirical Analysis
Rashtriya Raksha University（印度国家防卫大学）；National Institute of Technology, Durgapur（杜尔加普尔国家理工学院）；Guru Nanak Institute of Technology（古鲁那纳克技术学院）；University of Malta（马耳他大学）
