Focal and Generalized Seizures Distinction by Rebalancing Class Data and Random Forest Classification
暂无分享,去创建一个
Neila Mezghani | Lina Abou-Abbas | Khadidja Henni | Imene Jemal | Amar Mitiche | N. Mezghani | Lina Abou-Abbas | Imene Jemal | Khadidja Henni | A. Mitiche
[1] L. Carmant,et al. Seizures and epilepsy: an overview for neuroscientists. , 2015, Cold Spring Harbor perspectives in medicine.
[2] Ying Wang,et al. Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks , 2019, Artificial Intelligence Review.
[3] Joseph Picone,et al. The Temple University Hospital EEG Data Corpus , 2016, Front. Neurosci..
[4] Anindya Bijoy Das,et al. Discrimination and classification of focal and non-focal EEG signals using entropy-based features in the EMD-DWT domain , 2016, Biomed. Signal Process. Control..
[5] Inung Wijayanto,et al. Seizure Type Classification on EEG Signal using Support Vector Machine , 2019, Journal of Physics: Conference Series.
[6] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[7] U. Rajendra Acharya,et al. An automatic detection of focal EEG signals using new class of time-frequency localized orthogonal wavelet filter banks , 2017, Knowl. Based Syst..
[8] Pradip Sircar,et al. A novel approach for automated detection of focal EEG signals using empirical wavelet transform , 2016, Neural Computing and Applications.
[9] Jianbin Tang,et al. Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmark , 2019 .
[10] Joseph Picone,et al. The Temple University Hospital Seizure Detection Corpus , 2018, Front. Neuroinform..
[11] Natheer Khasawneh,et al. Automated sleep stage identification system based on time-frequency analysis of a single EEG channel and random forest classifier , 2012, Comput. Methods Programs Biomed..
[12] Yu-Ri Lee,et al. A Novel EEG Feature Extraction Method Using Hjorth Parameter , 2014 .
[13] B. Hjorth. EEG analysis based on time domain properties. , 1970, Electroencephalography and clinical neurophysiology.
[14] Christoph Lehmann,et al. Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG) , 2007, Journal of Neuroscience Methods.
[15] Amar Mitiche,et al. A Study of EEG Feature Complexity in Epileptic Seizure Prediction , 2021, Applied Sciences.
[16] J. Crowcroft,et al. Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine , 2012, Journal of Neuroscience Methods.
[17] Andreas Schulze-Bonhage,et al. Early Seizure Detection Algorithm Based on Intracranial EEG and Random Forest Classification , 2015, Int. J. Neural Syst..
[18] Leo Breiman,et al. Random Forests , 2001, Machine Learning.