Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals

Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals

(2019) Paweł Pławiak et al.   NEURAL COMPUTING & APPLICATIONS

A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals

(2019) Ozal Yildirim et al.   International Journal of Environmental Research and Public Health

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

Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis

(2018) Maie Bachmann 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

Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats

(2018) Shu Lih Oh et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Epileptic EEG Identification via LBP Operators on Wavelet Coefficients

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

Epileptic Seizure Prediction Using Diffusion Distance and Bayesian Linear Discriminate Analysis on Intracranial EEG

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

Deep Neural Architectures for Mapping Scalp to Intracranial EEG

(2018) Andreas Antoniades et al.   International Journal of Neural Systems

Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features

(2018) Yang Li et al.   International Journal of Neural Systems

Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals

(2018) Paweł Pławiak   Swarm and Evolutionary Computation

An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals

(2018) Manish Sharma et al.   Cognitive Systems Research

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

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

Parkinson's disease: Cause factors, measurable indicators, and early diagnosis

(2018) Shreya Bhat et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Convolutional Neural Networks for Neuroimaging in Parkinson’s Disease: Is Preprocessing Needed?

(2018) Francisco J. Martinez-Murcia et al.   International Journal of Neural Systems

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

(2018) Özal Yıldırım et al.   NEURAL COMPUTING & APPLICATIONS

A new nested ensemble technique for automated diagnosis of breast cancer

(2018) Moloud Abdar et al.   PATTERN RECOGNITION LETTERS

Characterization of focal EEG signals: A review

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

Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types

(2018) Shu Lih Oh et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A novel machine learning approach for early detection of hepatocellular carcinoma patients

(2018) Wojciech Książek et al.   Cognitive Systems Research

Application of deep transfer learning for automated brain abnormality classification using MR images

(2018) Muhammed Talo et al.   Cognitive Systems Research

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

(2017) Akara Supratak et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns

(2017) Shih-Cheng Liao et al.   SENSORS

Automated Diagnosis of Depression Electroencephalograph Signals Using Linear Prediction Coding and Higher Order Spectra Features

(2017) G. Muralidhar Bairy et al.   Journal of Medical Imaging and Health Informatics

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

Correction: Rhodium-doped titania photocatalysts with two-step bandgap excitation by visible light—influence of the dopant concentration on photosensitization efficiency

(2016) J. Kuncewicz et al.   RSC Advances

A Novel Depression Diagnosis Index Using Nonlinear Features in EEG Signals

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

Deep Extreme Learning Machine and Its Application in EEG Classification

(2015) Shifei Ding et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

DEPRESSION DIAGNOSIS SUPPORT SYSTEM BASED ON EEG SIGNAL ENTROPIES

(2014) OLIVER FAUST et al.   Journal of Mechanics in Medicine and Biology

EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation

(2014) Suwicha Jirayucharoensak et al.   TheScientificWorldJOURNAL

Automated EEG analysis of epilepsy: A review

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

Fractality analysis of frontal brain in major depressive disorder

(2012) Mehran Ahmadlou et al.   INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY

Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement

(2011) D F Wulsin et al.   Journal of Neural Engineering

Depression and the hyperactive right-hemisphere

(2010) David Hecht   NEUROSCIENCE RESEARCH

Classification of patterns of EEG synchronization for seizure prediction

(2009) Piotr Mirowski et al.   CLINICAL NEUROPHYSIOLOGY