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。Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection
U. Rajendra Acharya et al.
EUROPEAN NEUROLOGY (2015)
Enhanced automated sleep spindle detection algorithm based on synchrosqueezing
Muammar M. Kabir et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2015)
Automatic detection of spindles and K-complexes in sleep EEG using switching multiple models
Tracey A. Camilleri et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2014)
Empirical Mode Decomposition vs. Wavelet Decomposition for the Extraction of Respiratory Signal from Single-Channel ECG: A Comparison
Domenico Labate et al.
IEEE SENSORS JOURNAL (2013)
Sleep spindle detection through amplitude-frequency normal modelling
Antoine Nonclercq et al.
JOURNAL OF NEUROSCIENCE METHODS (2013)
A wavelet and teager energy operator based method for automatic detection of K-Complex in sleep EEG
Aykut Erdamar et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
DiBa: A Data-Driven Bayesian Algorithm for Sleep Spindle Detection
Behtash Babadi et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2012)
Sleep spindles recognition system based on time and frequency domain features
Salih Gunes et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Automated Sleep-Spindle Detection in Healthy Children Polysomnograms
Leonardo Causa et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)
ANALYSIS AND AUTOMATIC IDENTIFICATION OF SLEEP STAGES USING HIGHER ORDER SPECTRA
Rajendra Acharya U et al.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2010)
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)
Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy
Hasan Ocak
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Independent component analysis: comparison of algorithms for the investigation of surface electrical brain activity
Matthias Klemm et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2009)
An Automatic Sleep Spindle Detector Based on Wavelets and the Teager Energy Operator
Beena Ahmed et al.
2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20 (2009)
Discrimination ability of individual measures used in sleep stages classification
Kristina Susmakova et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2008)
Feature selection for sleep/wake stages classification using data driven methods
Lukas Zoubek et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2007)
Development and comparison of four sleep spindle detection methods
Eero Huupponen et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2007)
Benchmarking matching pursuit to find sleep spindles
Suzana V. Schonwald et al.
JOURNAL OF NEUROSCIENCE METHODS (2006)
Non-linear analysis of EEG signals at various sleep stages
R Acharya et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2005)
Sleep spindle detection using artificial neural networks trained with filtered time-domain EEG: A feasibility study
EM Ventouras et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2005)
Automatic analysis of electro-encephalogram sleep spindle frequency throughout the night
E Huupponen et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2003)
Polysomnographic pattern recognition for automated classification of sleep-waking states in infants
PA Estevez et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2002)
Computer-assisted sleep staging
R Agarwal et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2001)
Automated sleep stage scoring using hybrid rule- and case-based reasoning
HJ Park et al.
COMPUTERS AND BIOMEDICAL RESEARCH (2000)