A deep convolutional neural network model for automated identification of abnormal EEG signals

An efficient compression of ECG signals using deep convolutional autoencoders

(2018) Ozal Yildirim et al.   Cognitive Systems Research

Automated EEG-based screening of depression using deep convolutional neural network

(2018) U. Rajendra Acharya et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep learning for healthcare applications based on physiological signals: A review

(2018) Oliver Faust et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification

(2018) Özal Yildirim   COMPUTERS IN BIOLOGY AND MEDICINE

Epileptic EEG Identification via LBP Operators on Wavelet Coefficients

(2018) Qi Yuan et al.   International Journal of Neural Systems

Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram

(2018) Nhan Duy Truong et al.   NEURAL NETWORKS

Arrhythmia detection using deep convolutional neural network with long duration ECG signals

(2018) Özal Yıldırım et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A deep learning approach for Parkinson’s disease diagnosis from EEG signals

(2018) Shu Lih Oh et al.   NEURAL COMPUTING & APPLICATIONS

Automated seizure prediction

(2018) U. Rajendra Acharya et al.   EPILEPSY & BEHAVIOR

Characterization of focal EEG signals: A review

(2018) U. Rajendra Acharya et al.   Future Generation Computer Systems-The International Journal of eScience

Seizure Prediction Using Undulated Global and Local Features

(2017) Mohammad Zavid Parvez et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A Multivariate Approach for Patient-Specific EEG Seizure Detection Using Empirical Wavelet Transform

(2017) Abhijit Bhattacharyya et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Object recognition and detection with deep learning for autonomous driving applications

(2017) Ayşegül Uçar et al.   SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL

Epileptic Seizure Prediction Using CSP and LDA for Scalp EEG Signals

(2017) Turky N. Alotaiby et al.   Computational Intelligence and Neuroscience

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

(2017) U. Rajendra Acharya et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Application and Evaluation of Independent Component Analysis Methods to Generalized Seizure Disorder Activities Exhibited in the Brain

(2016) S. Thomas George et al.   CLINICAL EEG AND NEUROSCIENCE

Automatic identification of epileptic seizures from EEG signals using linear programming boosting

(2016) Ahnaf Rashik Hassan et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

The Temple University Hospital EEG Data Corpus

(2016) Iyad Obeid et al.   Frontiers in Neuroscience

Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection

(2015) U. Rajendra Acharya et al.   EUROPEAN NEUROLOGY

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

EEG seizure detection and prediction algorithms: a survey

(2015) Turkey N Alotaiby et al.   EURASIP Journal on Advances in Signal Processing

Application of Deep Belief Networks for Natural Language Understanding

(2014) Ruhi Sarikaya et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Automatic EEG seizure detection using dual-tree complex wavelet-Fourier features

(2013) Guangyi Chen   EXPERT SYSTEMS WITH APPLICATIONS

Predicting Epileptic Seizures in Scalp EEG Based on a Variational Bayesian Gaussian Mixture Model of Zero-Crossing Intervals

(2013) Ali Shahidi Zandi et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

AUTOMATED DIAGNOSIS OF EPILEPSY USING CWT, HOS AND TEXTURE PARAMETERS

(2013) U. RAJENDRA ACHARYA et al.   International Journal of Neural Systems

Automated EEG analysis of epilepsy: A review

(2013) U. Rajendra Acharya et al.   KNOWLEDGE-BASED SYSTEMS

Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions

(2012) Alekh Agarwal et al.   ANNALS OF STATISTICS

Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework

(2012) U. Rajendra Acharya et al.   EXPERT SYSTEMS WITH APPLICATIONS

APPLICATION OF NON-LINEAR AND WAVELET BASED FEATURES FOR THE AUTOMATED IDENTIFICATION OF EPILEPTIC EEG SIGNALS

(2012) U. RAJENDRA ACHARYA et al.   International Journal of Neural Systems

Seizure classification in EEG signals utilizing Hilbert-Huang transform

(2011) Rami J Oweis et al.   Biomedical Engineering Online

AUTOMATIC DETECTION OF EPILEPTIC EEG SIGNALS USING HIGHER ORDER CUMULANT FEATURES

(2011) U. RAJENDRA ACHARYA et al.   International Journal of Neural Systems

Fractality and a Wavelet-chaos-Methodology for EEG-based Diagnosis of Alzheimer Disease

(2010) Mehran Ahmadlou et al.   ALZHEIMER DISEASE & ASSOCIATED DISORDERS

EEG signal classification using PCA, ICA, LDA and support vector machines

(2010) Abdulhamit Subasi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Diagnosis of Epilepsy from Electroencephalography Signals Using Multilayer Perceptron and Elman Artificial Neural Networks and Wavelet Transform

(2010) Hakan Işik et al.   JOURNAL OF MEDICAL SYSTEMS