4.6 Article

Automatic detection of sleep spindles with the use of STFT, EMD and DWT methods

Related references

Note: Only part of the references are listed.
Review Clinical Neurology

Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection

U. Rajendra Acharya et al.

EUROPEAN NEUROLOGY (2015)

Article Computer Science, Interdisciplinary Applications

Enhanced automated sleep spindle detection algorithm based on synchrosqueezing

Muammar M. Kabir et al.

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2015)

Article Engineering, Biomedical

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)

Article Biochemical Research Methods

Sleep spindle detection through amplitude-frequency normal modelling

Antoine Nonclercq et al.

JOURNAL OF NEUROSCIENCE METHODS (2013)

Article Computer Science, Artificial Intelligence

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)

Article Engineering, Biomedical

DiBa: A Data-Driven Bayesian Algorithm for Sleep Spindle Detection

Behtash Babadi et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2012)

Article Computer Science, Artificial Intelligence

Sleep spindles recognition system based on time and frequency domain features

Salih Gunes et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Article Engineering, Biomedical

Automated Sleep-Spindle Detection in Healthy Children Polysomnograms

Leonardo Causa et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)

Article Computer Science, Artificial Intelligence

ANALYSIS AND AUTOMATIC IDENTIFICATION OF SLEEP STAGES USING HIGHER ORDER SPECTRA

Rajendra Acharya U et al.

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (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 Computer Science, Artificial Intelligence

Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy

Hasan Ocak

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Computer Science, Interdisciplinary Applications

Independent component analysis: comparison of algorithms for the investigation of surface electrical brain activity

Matthias Klemm et al.

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2009)

Proceedings Paper Engineering, Biomedical

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)

Article Computer Science, Artificial Intelligence

Discrimination ability of individual measures used in sleep stages classification

Kristina Susmakova et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2008)

Article Engineering, Biomedical

Feature selection for sleep/wake stages classification using data driven methods

Lukas Zoubek et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2007)

Article Computer Science, Artificial Intelligence

Development and comparison of four sleep spindle detection methods

Eero Huupponen et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2007)

Article Biochemical Research Methods

Benchmarking matching pursuit to find sleep spindles

Suzana V. Schonwald et al.

JOURNAL OF NEUROSCIENCE METHODS (2006)

Article Computer Science, Interdisciplinary Applications

Non-linear analysis of EEG signals at various sleep stages

R Acharya et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2005)

Article Computer Science, Interdisciplinary Applications

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)

Article Computer Science, Interdisciplinary Applications

Automatic analysis of electro-encephalogram sleep spindle frequency throughout the night

E Huupponen et al.

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2003)

Article Computer Science, Interdisciplinary Applications

Polysomnographic pattern recognition for automated classification of sleep-waking states in infants

PA Estevez et al.

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2002)

Article Engineering, Biomedical

Computer-assisted sleep staging

R Agarwal et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2001)

Article Computer Science, Interdisciplinary Applications

Automated sleep stage scoring using hybrid rule- and case-based reasoning

HJ Park et al.

COMPUTERS AND BIOMEDICAL RESEARCH (2000)