Sleep stages classification based on heart rate variability and random forest

Iber, 2007

Zemaityte, 1984, Heart rhythm control during sleep, Psychophysiology, 21, 279, 10.1111/j.1469-8986.1984.tb02935.x

Cajochen, 1994, Heart rate dynamics during human sleep, Physiology & Behavior, 55, 769, 10.1016/0031-9384(94)90058-2

Busek, 2005, Spectral analysis of heart rate variability in sleep, Physiological Research, 54, 369, 10.33549/physiolres.930645

Gundel, 1999, Heart period and heart period variability during sleep on the MIR space station, Journal of Sleep Research, 8, 37, 10.1046/j.1365-2869.1999.00131.x

Scholz, 1997, Vegetative background of sleep: spectral analysis of the heart rate variability, Physiology & Behavior, 62, 1037, 10.1016/S0031-9384(97)00234-5

Togo, 2001, Decreased fractal component of human rate variability during non-REM sleep, American Journal of Physiology – Heart and Circulatory Physiology, 280, H17, 10.1152/ajpheart.2001.280.1.H17

Penzel, 2003, Dynamics of heart rate and sleep stages in normals and patients with sleep apnea, Neuropsychopharmacology, 28, S48, 10.1038/sj.npp.1300146

Nason, 2011, Wavelet packet modeling of infant sleep rate using heart rate data, The Indian Journal of Statistics, 63, 199

Adnane, 2012, Sleep-wake stages classification and sleep efficiency estimation using single-lead electrocardiogram, Expert Systems with Applications, 39, 1401, 10.1016/j.eswa.2011.08.022

Cohen, 1960, A coefficient of agreement for nominal scales, Educational and Psychological Measurement, 20, 37, 10.1177/001316446002000104

Rosenfield, 1986, A coefficient of agreement as a measure of the matic classification accuracy, Photogrammetric Engineering and Remote Sensing, 52, 223

Lewicke, 2004, Sleep-wake identification in infants: heart rate variability compared to actigraphy, 442

Mendez, 2010, Sleep staging from heart rate variability: time-varying spectral features and hidden Markov models, International Journal of Biomedical Engineering and Technology, 3, 246, 10.1504/IJBET.2010.032695

Institute of Psychophysiology & Rehabilitation, Kaunas University of Medicine, http://www.pri.kmu.lt/datbank/index.php (accessed 09.10.11).

Stein, 2012, Heart rate variability, sleep and sleep disorders, Sleep Medicine Reviews, 16, 47, 10.1016/j.smrv.2011.02.005

Task Force of The European Society of Cardiology, 1996, Heart rate variability: standards of measurement, physiological interpretation, and clinical use, European Heart Journal, 17, 354, 10.1093/oxfordjournals.eurheartj.a014868

Goren, 2006, Individual time-dependent spectral boundaries for improved accuracy in time-frequency analysis of heart rate variability, IEEE Transaction on Biomedical Engineering, 53, 35, 10.1109/TBME.2005.859784

Kato, 1992, Spectral analysis of heart rate variability during isoflurane anesthesia, Anesthesiology, 77, 669, 10.1097/00000542-199210000-00009

Acharya, 2006, Heart rate variability: a review, Medical & Biological Engineering & Computing, 44, 1031, 10.1007/s11517-006-0119-0

Susmakova, 2008, Discrimination ability of individual measures used in sleep stages classification, Artificial Intelligence in Medicine, 44, 261, 10.1016/j.artmed.2008.07.005

Redmond, 2006, Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea, IEEE Transactions on Biomedical Engineering, 53, 1, 10.1109/TBME.2005.869773

Jiang, 2011, Research on the relationship between sleep phases and heart rate variability, Journal of Biomedical Engineering (in Chinese), 28, 148

Costa, 2002, Multiscale entropy analysis of complex physiologic time series, Physical Review Letters, 89, 068102-1, 10.1103/PhysRevLett.89.068102

Costa, 2005, Multiscale entropy analysis of biological signals, Physical Review Letters, 71, 021906-1

Xiao, 2012, Multiscale entropy based analysis of HRV during sleep, 558

Long, 2010, Determination of delay time with mutual information by equal-probability symbolic analysis method, Chinese Journal of Computational Physics, 27, 468

Hoyer, 2005, Mutual information function assesses autonomic information flow of heart rate dynamics at different time scales, IEEE Transactions on Biomedical Engineering, 52, 584, 10.1109/TBME.2005.844023

Otzenberger, 1997, Temporal relationship between dynamic heart rate variability and electroencephalographic activity during sleep in man, Neuroscience Letters, 229, 173, 10.1016/S0304-3940(97)00448-5

Pichot, 1999, Wavelet transform to quantify heart rate variability and to assess its instantaneous changes, Journal of Applied Physiology, 86, 1081, 10.1152/jappl.1999.86.3.1081

Breiman, 2001, Random forests, Machine Learning, 45, 5, 10.1023/A:1010933404324

Yuan, 2009, Predicting membrane protein types using the random forests algorithm, Acta Biophysica Sinica, 25, 349

Alan, 2010, Random forest-based classification of heart rate variability signals by using combinations of linear and nonlinear features, IFMBE Proceedings, 29, 29

Cutler, 2007, Random forests for classification in ecology, Ecology, 88, 2783, 10.1890/07-0539.1

Alam, 2011, Comparative evaluation of feature normalization techniques for speaker verification, vol. 7015, 246

Cai, 2010, A new data normalization method for unsupervised anomaly intrusion detection, Journal of Zhejiang University-SCIENCE C (Computers & Electronics), 11, 778, 10.1631/jzus.C0910625

Yang, 2002, Evaluation of sleep structure information from heart rate variability using multi-resolution analysis, Beijing Biomedical Engineering, 21, 92

Penzel, 2003, Dynamics of heart rate and sleep stages in normals and patients with sleep apnea, Neuropsychopharmacology, 28, 48, 10.1038/sj.npp.1300146

Vigo, 2010, Nonlinear analysis of heart rate variability within independent frequency components during the sleep-wake cycle, Autonomic Neuroscience: Basic and Clinical, 154, 84, 10.1016/j.autneu.2009.10.007