4.6 Article

Convolutional neural networks for sleep stage scoring on a two-channel EEG signal

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

Rajeev Ranjan et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)

Article Engineering, Biomedical

A convolutional neural network for sleep stage scoring from raw single-channel EEG

Arnaud Sors et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018)

Article Computer Science, Artificial Intelligence

Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

Siavash Sakhavi et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Article Biology

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

U. Rajendra Acharya et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2018)

Article Engineering, Biomedical

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

Akara Supratak et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2017)

Article Computer Science, Artificial Intelligence

A decision support system for automated identification of sleep stages from single-channel EEG signals

Ahnaf Rashik Hassan et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Article Computer Science, Hardware & Architecture

ImageNet Classification with Deep Convolutional Neural Networks

Alex Krizhevsky et al.

COMMUNICATIONS OF THE ACM (2017)

Article Computer Science, Interdisciplinary Applications

Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting

Ahnaf Rashik Hassan et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Xception: Deep Learning with Depthwise Separable Convolutions

Francois Chollet

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Engineering, Biomedical

Automatic sleep scoring using statistical features in the EMD domain and ensemble methods

Ahnaf Rashik Hassan et al.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2016)

Article Engineering, Biomedical

Computer-aided sleep staging using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and bootstrap aggregating

Ahnaf Rashik Hassan et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2016)

Article Computer Science, Interdisciplinary Applications

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

Ahnaf Rashik Hassan et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)

Article Biochemical Research Methods

A decision support system for automatic sleep staging from EEG signals using tunable Q-factor wavelet transform and spectral features

Ahnaf Rashik Hassan et al.

JOURNAL OF NEUROSCIENCE METHODS (2016)

Article Computer Science, Artificial Intelligence

Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study

Boualem Boashash et al.

KNOWLEDGE-BASED SYSTEMS (2016)

Article Engineering, Biomedical

Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders

Orestis Tsinalis et al.

ANNALS OF BIOMEDICAL ENGINEERING (2016)

Article Clinical Neurology

Inter-expert and intra-expert reliability in sleep spindle scoring

Sabrina L. Wendt et al.

CLINICAL NEUROPHYSIOLOGY (2015)

Article Computer Science, Artificial Intelligence

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Article Computer Science, Information Systems

Analysis and Classification of Sleep Stages Based on Difference Visibility Graphs From a Single-Channel EEG Signal

Guohun Zhu et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2014)

Article Computer Science, Artificial Intelligence

Automatic sleep stage recurrent neural classifier using energy features of EEG signals

Yu-Liang Hsu et al.

NEUROCOMPUTING (2013)

Article Computer Science, Artificial Intelligence

Classification of signals by means of Genetic Programming

Enrique Fernandez-Blanco et al.

SOFT COMPUTING (2013)

Article Engineering, Electrical & Electronic

Deep Learning: Methods and Applications

Li Deng et al.

FOUNDATIONS AND TRENDS IN SIGNAL PROCESSING (2013)

Article Acoustics

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

George E. Dahl et al.

IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2012)

Article Engineering, Electrical & Electronic

Automatic Stage Scoring of Single-Channel Sleep EEG by Using Multiscale Entropy and Autoregressive Models

Sheng-Fu Liang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2012)

Review Clinical Neurology

Sleep scoring using artificial neural networks

Marina Ronzhina et al.

SLEEP MEDICINE REVIEWS (2012)

Article Computer Science, Artificial Intelligence

Lyapunov exponents/probabilistic neural networks for analysis of EEG signals

Elif Derya Ubeyli

EXPERT SYSTEMS WITH APPLICATIONS (2010)

Article Health Care Sciences & Services

Determination of Sleep Stage Separation Ability of Features Extracted from EEG Signals Using Principle Component Analysis

Cabir Vural et al.

JOURNAL OF MEDICAL SYSTEMS (2010)

Article Clinical Neurology

Automatic analysis of single-channel sleep EEG:: Validation in healthy individuals

Christian Berthomier et al.

Article Computer Science, Artificial Intelligence

A theoretical study on six classifier fusion strategies

LI Kuncheva

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)

Article Engineering, Biomedical

Analysis of a sleep-dependent neuronal feedback loop: The slow-wave microcontinuity of the EEG

B Kemp et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2000)