Enhanced automated sleep spindle detection algorithm based on synchrosqueezing
暂无分享,去创建一个
Reza Tafreshi | Muammar M. Kabir | Diane B. Boivin | Naim Haddad | N. Haddad | M. Kabir | R. Tafreshi | D. Boivin
[1] Y. -L. Hao,et al. Improved procedure of complex demodulation and an application to frequency analysis of sleep spindles in EEG , 1992, Medical and Biological Engineering and Computing.
[2] A. Rechtschaffen,et al. A manual of standardized terminology, technique and scoring system for sleep stages of human subjects , 1968 .
[3] Günther J. L. Gerhardt,et al. Benchmarking matching pursuit to find sleep spindles , 2006, Journal of Neuroscience Methods.
[4] Susanne Diekelmann,et al. Slow-wave sleep takes the leading role in memory reorganization , 2010, Nature Reviews Neuroscience.
[5] Jens Haueisen,et al. Independent component analysis: comparison of algorithms for the investigation of surface electrical brain activity , 2009, Medical & Biological Engineering & Computing.
[6] A Kumar,et al. Human and automatic validation of a phase-locked loop spindle detection system. , 1980, Electroencephalography and clinical neurophysiology.
[7] I. Daubechies,et al. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool , 2011 .
[8] Wu Hau-Tieng,et al. ECG-Derived Respiration and Instantaneous Frequency based on the Synchrosqueezing Transform: Application to Patients with Atrial Fibrillation , 2011 .
[9] Sylvain Meignen,et al. A New Algorithm for Multicomponent Signals Analysis Based on SynchroSqueezing: With an Application to Signal Sampling and Denoising , 2012, IEEE Transactions on Signal Processing.
[10] D. Fabó,et al. Overnight verbal memory retention correlates with the number of sleep spindles , 2005, Neuroscience.
[11] K. Blinowska,et al. Multichannel matching pursuit and EEG inverse solutions , 2005, Journal of Neuroscience Methods.
[12] E. S. Page. CONTINUOUS INSPECTION SCHEMES , 1954 .
[13] A. Loomis,et al. POTENTIAL RHYTHMS OF THE CEREBRAL CORTEX DURING SLEEP. , 1935, Science.
[14] Hans Berger,et al. Über das Elektrenkephalogramm des Menschen , 1933, Archiv für Psychiatrie und Nervenkrankheiten.
[15] A. Chesson,et al. The American Academy of Sleep Medicine (AASM) Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications , 2007 .
[16] P. Anderer,et al. Topographic distribution of sleep spindles in young healthy subjects , 1997, Journal of sleep research.
[17] S. Himanen,et al. Automatic analysis of electro-encephalogram sleep spindle frequency throughout the night , 2003, Medical and Biological Engineering and Computing.
[18] C. Binnie,et al. A glossary of terms most commonly used by clinical electroencephalographers. , 1974, Electroencephalography and clinical neurophysiology.
[19] H. Berger. Über das Elektrenkephalogramm des Menschen , 1929, Archiv für Psychiatrie und Nervenkrankheiten.
[20] E. Wolpert. A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects. , 1969 .
[21] M. Zervakis,et al. Time–frequency analysis methods to quantify the time-varying microstructure of sleep EEG spindles: Possibility for dementia biomarkers? , 2009, Journal of Neuroscience Methods.
[22] Nikolaos K. Uzunoglu,et al. Sleep spindle detection using artificial neural networks trained with filtered time-domain EEG: A feasibility study , 2005, Comput. Methods Programs Biomed..
[23] Hau-Tieng Wu,et al. The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications , 2011, Signal Process..
[24] C. Binnie,et al. Glossar der meistgebrauchten Begriffe in der klinischen Elektroenzephalographie und Vorschläge für die EEG-Befunderstellung , 2004 .
[25] M. Lehtokangas,et al. Optimization of sigma amplitude threshold in sleep spindle detection , 2000, Journal of sleep research.
[26] Tsuyoshi Shiina,et al. Detection of characteristic waves of sleep EEG by neural network analysis , 2000, IEEE Transactions on Biomedical Engineering.
[27] Vahid Tarokh,et al. DiBa: A Data-Driven Bayesian Algorithm for Sleep Spindle Detection , 2012, IEEE Transactions on Biomedical Engineering.
[28] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[29] Jean-François Gagnon,et al. Sleep and quantitative EEG in neurodegenerative disorders. , 2004, Journal of psychosomatic research.
[30] H. Berger. Über das Elektrenkephalogramm des Menschen , 1933, Archiv für Psychiatrie und Nervenkrankheiten.
[31] Kemal Polat,et al. Sleep spindles recognition system based on time and frequency domain features , 2011, Expert Syst. Appl..
[32] Christine Decaestecker,et al. Sleep spindle detection through amplitude–frequency normal modelling , 2013, Journal of Neuroscience Methods.
[33] Beena Ahmed,et al. Improved spindle detection through intuitive pre-processing of electroencephalogram , 2014, Journal of Neuroscience Methods.
[34] John Foss,et al. Springer Handbook of Experimental Fluid Mechanics , 2007 .
[35] Philippe Boudreau,et al. Phototherapy and Orange-Tinted Goggles for Night-Shift Adaptation of Police Officers on Patrol , 2012, Chronobiology international.
[36] Thierry Dutoit,et al. Automatic sleep spindles detection — Overview and development of a standard proposal assessment method , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[37] F. Duffy,et al. Spike detection. I. Correlation and reliability of human experts. , 1996, Electroencephalography and clinical neurophysiology.
[38] P. Estévez,et al. Polysomnographic pattern recognition for automated classification of sleep-waking states in infants , 2006, Medical and Biological Engineering and Computing.
[39] R. Chervin,et al. The visual scoring of sleep and arousal in infants and children. , 2007, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.
[40] Kai Schneider,et al. Review of Some Fundamentals of Data Processing , 2007 .
[41] Manuel Schabus,et al. Sleep spindles and their significance for declarative memory consolidation. , 2004, Sleep.
[42] J. Born,et al. The memory function of sleep , 2010, Nature Reviews Neuroscience.
[43] Günther J. L. Gerhardt,et al. Characteristics of human EEG sleep spindles assessed by Gabor transform , 2003 .
[44] Antti Saastamoinen,et al. Development and comparison of four sleep spindle detection methods , 2007, Artif. Intell. Medicine.
[45] Osman Erogul,et al. Efficient sleep spindle detection algorithm with decision tree , 2009, Expert Syst. Appl..
[46] G. Sciarretta,et al. Automatic detection of sleep spindles by analysis of harmonic components , 1970, Medical and biological engineering.
[47] Carlyle T. Smith,et al. The function of the sleep spindle: A physiological index of intelligence and a mechanism for sleep-dependent memory consolidation , 2011, Neuroscience & Biobehavioral Reviews.