Depression Diagnosis Modeling With Advanced Computational Methods: Frequency-Domain eMVAR and Deep Learning

A deep CNN approach to decode motor preparation of upper limbs from time–frequency maps of EEG signals at source level

(2020) Nadia Mammone et al.   NEURAL NETWORKS

Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach

(2020) Caglar Uyulan et al.   CLINICAL EEG AND NEUROSCIENCE

A New Deep Learning-Based Handwritten Character Recognition System on Mobile Computing Devices

(2019) Yu Weng et al.   MOBILE NETWORKS & APPLICATIONS

Classifying major depression patients and healthy controls using EEG, eye tracking and galvanic skin response data

(2019) Xinfang Ding et al.   JOURNAL OF AFFECTIVE DISORDERS

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

(2019) Betul Ay et al.   JOURNAL OF MEDICAL SYSTEMS

Intrinsic Brain Network Biomarkers of Antidepressant Response: a Review

(2019) Katharine Dunlop et al.   Current Psychiatry Reports

Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests

(2019) Muammer Turkoglu et al.   Journal of Ambient Intelligence and Humanized Computing

A deep learning framework for automatic diagnosis of unipolar depression

(2019) Wajid Mumtaz et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia

(2019) Cosimo Ieracitano et al.   NEURAL NETWORKS

A Comparative Study of Different EEG Reference Choices for Diagnosing Unipolar Depression

(2018) Wajid Mumtaz et al.   BRAIN TOPOGRAPHY

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

(2018) U. Rajendra Acharya 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

Abnormal early dynamic individual patterns of functional networks in low gamma band for depression recognition

(2018) Kun Bi et al.   JOURNAL OF AFFECTIVE DISORDERS

Study on Feature Selection Methods for Depression Detection Using Three-Electrode EEG Data

(2018) Hanshu Cai et al.   Interdisciplinary Sciences-Computational Life Sciences

LSTM Fully Convolutional Networks for Time Series Classification

(2018) Fazle Karim et al.   IEEE Access

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

Deep Learning Analysis of Mobile Physiological, Environmental and Location Sensor Data for Emotion Detection

(2018) Eiman Kanjo et al.   Information Fusion

A Framework for Designing the Architectures of Deep Convolutional Neural Networks

(2017) et al.   Entropy

A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD)

(2017) Wajid Mumtaz et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

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

(2017) Shih-Cheng Liao et al.   SENSORS

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices

(2017) Tayfun Gokmen et al.   Frontiers in Neuroscience

Subject-based feature extraction by using fisher WPD-CSP in brain–computer interfaces

(2016) Banghua Yang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data

(2016) Yin Zheng et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Data mining EEG signals in depression for their diagnostic value

(2015) Mahdi Mohammadi et al.   BMC Medical Informatics and Decision Making

Improving brain–computer interface classification using adaptive common spatial patterns

(2015) Xiaomu Song et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A wrapper-based approach for feature selection and classification of major depressive disorder–bipolar disorders

(2015) Turker Tekin Erguzel et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Computer-Aided Diagnosis of Depression Using EEG Signals

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

A Novel Depression Diagnosis Index Using Nonlinear Features in EEG Signals

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

Probabilistic Common Spatial Patterns for Multichannel EEG Analysis

(2015) Wei Wu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Local Temporal Correlation Common Spatial Patterns for Single Trial EEG Classification during Motor Imagery

(2013) Rui Zhang et al.   Computational and Mathematical Methods in Medicine

A framework for assessing frequency domain causality in physiological time series with instantaneous effects

(2013) L. Faes et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis

(2012) Luca Faes et al.   Computational and Mathematical Methods in Medicine

A Generalized Multivariate Autoregressive (GmAR)-Based Approach for EEG Source Connectivity Analysis

(2011) Joyce Chiang et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Review of the methods of determination of directed connectivity from multichannel data

(2011) Katarzyna J. Blinowska   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Estimation of Cortical Connectivity From EEG Using State-Space Models

(2010) B L P Cheung et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Generation of Spatiotemporally Correlated Spike Trains and Local Field Potentials Using a Multivariate Autoregressive Process

(2009) Diego A. Gutnisky et al.   JOURNAL OF NEUROPHYSIOLOGY

Optimizing Spatial filters for Robust EEG Single-Trial Analysis

(2008) Benjamin Blankertz et al.   IEEE SIGNAL PROCESSING MAGAZINE

A Hidden Markov, Multivariate Autoregressive (HMM-mAR) Network Framework for Analysis of Surface EMG (sEMG) Data

(2008) J. Chiang et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

EEG Signal Analysis: A Survey

(2008) D. Puthankattil Subha et al.   JOURNAL OF MEDICAL SYSTEMS