Focal and Generalized Seizures Distinction by Rebalancing Class Data and Random Forest Classification

[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.