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CHB-MIT

nm000110 · 41 high-confidence citations

1. Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives

   Emran Ali, Maia Angelova, Chandan Karmakar · 2024 · Royal Society Open Science

   Cites dataset 23 citations

2. Intelligent approach for artifacts removal from EEG signal using heuristic-based convolutional neural network

   Mariyadasu Mathe, M. Padmaja, B. T. Krishna · 2021 · Biomedical Signal Processing and Control

   Cites dataset 23 citations

3. Multi-dimensional hybrid bilinear CNN-LSTM models for epileptic seizure detection and prediction using EEG signals

   Shan Liu, Jiang Wang, Shanshan Li, Lihui Cai · 2024 · Journal of Neural Engineering

   Cites dataset 18 citations

4. Evaluation of the Relation between Ictal EEG Features and XAI Explanations

   Sergio E. Sánchez-Hernández, Sulema Torres-Ramos, Israel Román-Godínez, Ricardo A. Salido-Ruiz · 2024 · Brain Sciences

   Cites dataset 16 citations

5. Epileptic seizure detection from electroencephalogram signals based on 1D CNN-LSTM deep learning model using discrete wavelet transform

   Homa Kashefi Amiri, Masoud Zarei, Mohammad Reza Daliri · 2025 · Scientific Reports

   Cites dataset 15 citations

6. Prediction of epileptic seizures based on multivariate multiscale modified-distribution entropy

   Si Thu Aung, Yodchanan Wongsawat · 2021 · PeerJ Computer Science

   Cites dataset 12 citations

7. MLTCN-EEG: metric learning-based temporal convolutional network for seizure EEG classification

   Zheng You Lim, Ying Han Pang, Shih Yin Ooi, Wee How Khoh, Fu San Hiew · 2024 · Neural Computing and Applications

   Cites dataset 11 citations

8. Electroencephalogram (EEG) classification using a bio-inspired deep oscillatory neural network

   Sayan Ghosh, Vigneswaran Chandrasekaran, NR Rohan, V. Srinivasa Chakravarthy · 2024 · Biomedical Signal Processing and Control

   Cites dataset 10 citations

9. Performance Analysis of Entropy Methods in Detecting Epileptic Seizure from Surface Electroencephalograms

   Emran Ali, Radhagayathri K. Udhayakumar, Maia Angelova, Chandan Karmakar · 2021 · 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

   Cites dataset 8 citations

10. OVME-REG: Harris hawks optimization algorithm based optimized variational mode extraction for eye blink artifact removal from EEG signal

    B. V. N. Silpa, Malaya Kumar Hota · 2023 · Medical & Biological Engineering & Computing

    Cites dataset 7 citations

11. Addressing Inter-Patient Variability in EEG: Diversity-Enhanced Data Augmentation and Few-Shot Learning-based Epilepsy Detection

    Raghdah Saem Aldahr, Munid Alanazi, Mohammad Ilyas · 2022 · n/a

    Cites dataset 7 citations

12. Double Attention-Based Deep Convolutional Neural Network for Seizure Detection Using EEG Signals

    Lin Shi, Zexin Wang, Yuanwei Ma, Jianjun Chen, Jingzhou Xu, Jun Qi · 2024 · Lecture notes in computer science

    Cites dataset 6 citations

13. Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data

    Juan Pablo Carvajal-Dossman, Laura Guio, Danilo García-Orjuela, Jennifer J Guzmán-Porras, Kelly Garcés, Andrés Naranjo, Silvia Juliana Maradei-Anaya, Jorge Duitama · 2025 · Scientific Reports

    Cites dataset 6 citations

14. Electroencephalogram (EEG) Classification using a bio-inspired Deep Oscillatory Neural Network

    Sayan Ghosh, C. Vigneswaran, NR Rohan, V. Srinivasa Chakravarthy · 2024 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset 5 citations

15. Digital Twin for EEG seizure prediction using time reassigned Multisynchrosqueezing transform-based CNN-BiLSTM-Attention mechanism model

    Antara Ghosh, Debangshu Dey · 2024 · Biomedical Physics & Engineering Express

    Cites dataset 4 citations

16. Epileptic Seizure Prediction From EEG Signal Recording Using Energy and Dispersion Entropy with SVM Classifier

    Yumna Nabila, Hasballah Zakaria · 2024 · n/a

    Cites dataset 3 citations

17. Epileptic Seizure Prediction Using a Deep Hybrid CNN-GAN Model on EEG Data

    Nowshad Hasan, Mohiuddin Sharif, Miskatur Rahman, Md. Saiful Islam, M. A. S. K. Khan, Md Jiabul Hoque, Anamul Bahar · 2024 · n/a

    Cites dataset 3 citations

18. Impact of Feature Selection Techniques for EEG-Based Seizure Classification

    Najmusseher Najmusseher, M. Umme Salma · 2023 · Lecture notes in networks and systems

    Cites dataset 3 citations

19. Recognition of Secondary Tonic-Colonic Epilepsy Seizures using Machine Learning

    Neha Kumari, Syed Raheel Hassan, Pallavi Bassi · 2024 · n/a

    Cites dataset 2 citations

20. Feature fusion based on global-local weighted attention model for automatic epileptic seizure detection

    Xiang Li, Ke Zhang, Xin Wang, Zhiheng Zhang, pengshuai zhu, Mingxing Zhu, Xianhai Zeng, Shixiong Chen · 2025 · Journal of Neural Engineering

    Cites dataset 2 citations

21. Classifying Epileptic Seizure Events from EEG Signals by a Lightweight Machine Learning Model

    Josh Schilling, Naveenkumar G. Venkataswamy, Masudul H. Imtiaz · 2023 · Preprints.org

    Cites dataset 2 citations

22. A lightweight 1D-CNN-GRU model for epileptic seizure prediction

    He Chunlei, Peijun Ma, Jiangyi Shi, Chenxin Qu, Qingrong Wang, Cong Yao, Yue Hao · 2024 · Research Square

    Cites dataset 2 citations

23. An EEG-based patient-independent epileptic seizure detection method based on domain generative adversarial network

    Yulang Feng, Tianshu Zhou, Yu Tian, Chengkai Wu, Jianda Wang, Jianhua Feng, Jingsong Li · 2025 · Health Information Science and Systems

    Cites dataset 1 citations

24. Dynamic Graph Contrastive Learning for EEG-Based Epileptic Seizure Detection

    Zejing Zhang, Dengdi Sun · 2025 · n/a

    Cites dataset 1 citations

25. Enhanced balancing with integrated resampling cascade and advanced analysis of ‘seizureDetect’ dataset key features

    Taissir Fekih Romdhane, Ridha Ouni, Haikel Alhichri · 2024 · Procedia Computer Science

    Cites dataset 1 citations

26. Stochastic memristive devices for low cost learning of spatiotemporal signals in spiking neural networks

    Aabid Amin Fida, Sparsh Mittal · 2024 · Engineering Research Express

    Cites dataset 1 citations

27. Electroencephalography (EEG) Signal Identification for Epilepsy Using Support Vector Machine (SVM)

    Afif Firdaus Fatharani, Khoerun Nisa Syaja’ah, W. S. Mada Sanjaya, Muhammad Insan Al-Amin, Rin Rin Nurmalasari, Andang Saehu · 2023 · n/a

    Cites dataset 1 citations

28. Detection & Prediction of Epileptic Seizures Using Machine Learning Model on 3600s Long EEG data

    Noore Zahra, Hanan Aljuaid, Shatha Almutairi, Nouf Khalid Alfouzan, Sara Abdulaziz Alwadyy, Arwa BandarAlmutairi · 2025 · Research Square

    Cites dataset

29. Examining the Potential of Sequence Patterns from EEG Data as Alternative Case Representation for Seizure Detection

    Jonah Fernandez, Guillem Hernández Guillamet, Cristina Muniesa Montserrat, Bianca Innocenti, Beatriz López · 2024 · Lecture notes in computer science

    Cites dataset

30. TSICNet: Importance of Connectome Information for Epilepsy Classification

    Zhihui Du, Zhongyuan Lai · 2025 · Communications in computer and information science

    Cites dataset

31. Artificial Intelligence and Machine Learning in Pediatric Epilepsy: A Systematic Review

    Emilia Malik, Michał Wizner, Julia Izabela Karpierz, Zuzanna Pająk, Monika Roszkowska, Marta Rojek, Justyna Paprocka · 2025 · Neurology and Therapy

    Cites dataset

32. PSD-LW-DCN: a generalizable power spectral density based lightweight deep convolutional neural network for seizure detection

    Peipei Gu, Ming Zhang, Meiyan Xu, Duo Chen, Jibin Shou, Jiayang Guo, Naian Xiao · 2026 · Scientific Reports

    Cites dataset

33. Iterative multiblock framework for high frequency EEG based neurological disorder detection

    Rahul Agrawal, Chetan Dhule, Garima Shukla, Sofia Singh, Urvashi Agrawal, Sarah Allabun, Manal A. Othman, Lotta Bayisenge · 2026 · Scientific Reports

    Cites dataset

34. EEG-Based Seizure Prediction Approaches Within Clinically Relevant Pre-seizure Windows Using Scalp EEG Datasets: A Systematic Review

    Aesha Ali Alasade, A. Gehani, Hind Mohammedsalih Osman, Abdulwahhab M Al-Shaikhli, A. A. Idris, Asim Ahmed, Almalik Abla · 2026 · Cureus

    Cites dataset

35. Systematic Ablation Study of Encoder Only Transformers for Epileptic Seizure Monitoring

    Abhisek Gour, N. C. Barwar · 2025 · Programming and Computer Software

    Cites dataset

36. Temporal Fusion Transformer-Based Multimodal Approach for Epileptic Seizure Prediction

    Gnaneswari Gnanaguru, B. M. Praveen, S. Silvia Priscila · 2026 · Lecture notes in networks and systems

    Cites dataset

37. Detecção de epilepsia em eletroencefalogramas utilizando redes neurais convolucionais reduzidas

    Luiz Antonio Nicolau Anghinoni, Marcelo Teixeira, Marco Antônio de Castro Barbosa, Dalcimar Casanova, Jefferson Tales Oliva · 2024 · Journal of Health Informatics

    Cites dataset

38. A multi-view neural framework with attention for epileptic seizure classification

    Lufeng Feng, Baomin Xu, Li Duan, Wei Ni, Quan Sheng · 2026 · Journal of Neural Engineering

    Cites dataset

39. Efficient EEG channel-and-frequency-band selection for epileptic seizure classification using multi-objective optimization

    Wenjie Chen, Xinqi Lei, Hainan Guo, Zhuang Li · 2026 · Frontiers in Neurology

    Cites dataset

40. Can a pre-trained EEG neonatal model be used for seizure detection in pediatrics?

    Lavanya Vinod Pampana, Aengus Daly, Joaquim Bauxell Cornet, Andriy Temko, Emanuel Popovici · 2023 · n/a

    Cites dataset

41. SEViT: STFT Enhanced Vision Transformer for Robust Epileptic Seizure Monitoring

    Abhisek Gour, N. C. Barwar · 2025 · n/a

    Cites dataset

No citations of that kind for this dataset.