Related references
Note: Only part of the references are listed.A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals
Afshin Shoeibi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
Hezam Albaqami et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects
Giuseppe Varone et al.
SENSORS (2020)
Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition
Turker Tuncer et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
EEG based multi-class seizure type classification using convolutional neural network and transfer learning
S. Raghu et al.
NEURAL NETWORKS (2020)
FPGA-based real-time epileptic seizure classification using Artificial Neural Network
Rijad Saric et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
Epileptic Seizure Classification With Symmetric and Hybrid Bilinear Models
Tennison Liu et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
Epileptic seizure detection using hybrid machine learning methods
Abdulhamit Subasi et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Comparison of EMD, DWT and WPD for the localization of epileptogenic foci using Random Forest classifier
Abdulhamit Subasi et al.
MEASUREMENT (2019)
The Temple University Hospital Seizure Detection Corpus
Vinit Shah et al.
FRONTIERS IN NEUROINFORMATICS (2018)
Operational classification of seizure types by the International League Against Epilepsy: Position Paper of the ILAE Commission for Classification and Terminology
Robert S. Fisher et al.
EPILEPSIA (2017)
ILAE classification of the epilepsies: Position paper of the ILAE Commission for Classification and Terminology
Ingrid E. Scheffer et al.
EPILEPSIA (2017)
Epileptic Seizure Prediction Using CSP and LDA for Scalp EEG Signals
Turky N. Alotaiby et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2017)
Tunable-QWavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals
Abhijit Bhattacharyya et al.
APPLIED SCIENCES-BASEL (2017)
Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system
Jasmin Kevric et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2017)
Epileptic seizure detection in EEG signals using tunable-Q factor wavelet transform and bootstrap aggregating
Ahnaf Rashik Hassan et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)
A novel robust diagnostic model to detect seizures in electroencephalography
Piyush Swami et al.
EXPERT SYSTEMS WITH APPLICATIONS (2016)
The Temple University Hospital EEG Data Corpus
Iyad Obeid et al.
FRONTIERS IN NEUROSCIENCE (2016)
Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis
Oliver Faust et al.
SEIZURE-EUROPEAN JOURNAL OF EPILEPSY (2015)
Automated diagnosis of epileptic electroencephalogram using independent component analysis and discrete wavelet transform for different electroencephalogram durations
U. R. Acharya et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE (2013)
Epileptic EEG detection using the linear prediction error energy
Semih Altunay et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
EEG signal classification using wavelet feature extraction and a mixture of expert model
Abdulhamit Subasi
EXPERT SYSTEMS WITH APPLICATIONS (2007)
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
Kemal Polat et al.
APPLIED MATHEMATICS AND COMPUTATION (2007)
The dual-tree complex wavelet transform
IW Selesnick et al.
IEEE SIGNAL PROCESSING MAGAZINE (2005)
Complex wavelets for shift invariant analysis and filtering of signals
N Kingsbury
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS (2001)