The research of sleep staging based on single-lead electrocardiogram and deep neural network
暂无分享,去创建一个
Jinhai Wang | Xinghua Zhang | Xin Dang | Xin Dang | Jinhai Wang | Ran Wei | Ran Wei | Xinghua Zhang
[1] Thomas Penzel,et al. Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea , 2003, IEEE Transactions on Biomedical Engineering.
[2] Michael F. Lorber,et al. Interrater agreement statistics with skewed data: evaluation of alternatives to Cohen's kappa. , 2014, Journal of consulting and clinical psychology.
[3] J. Richman,et al. Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.
[4] D. Carley,et al. Physiology of Sleep , 2016, Diabetes Spectrum.
[5] Conor Heneghan,et al. Cardiorespiratory-based sleep staging in subjects with obstructive sleep apnea , 2006, IEEE Transactions on Biomedical Engineering.
[6] G. H. Rosenfield,et al. A coefficient of agreement as a measure of thematic classification accuracy. , 1986 .
[7] Kawamoto Ken,et al. Actigraphic Detection of REM Sleep Based on Respiratory Rate Estimation , 2013 .
[8] Xiang Li,et al. Deep learning architecture for air quality predictions , 2016, Environmental Science and Pollution Research.
[9] Do-Un Jeong,et al. Hybrid neural-network and rule-based expert system for automatic sleep stage scoring , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).
[10] E. Wolpert. A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects. , 1969 .
[11] Xi Long,et al. Sleep stage classification with ECG and respiratory effort , 2015, Physiological measurement.
[12] F. Ebrahimi,et al. Automatic sleep stage classification based on EEG signals by using neural networks and wavelet packet coefficients , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[13] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[14] Homer Nazeran,et al. Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals , 2013, Comput. Methods Programs Biomed..
[15] Jaspal Singh,et al. A method of REM-NREM sleep distinction using ECG signal for unobtrusive personal monitoring , 2016, Comput. Biol. Medicine.
[16] Teresa Paiva,et al. Hypnogram and Sleep Parameter Computation From Activity and Cardiovascular Data , 2014, IEEE Transactions on Biomedical Engineering.
[17] Matteo Matteucci,et al. Sleep staging from Heart Rate Variability: time-varying spectral features and Hidden Markov Models , 2010 .
[18] Yosuke Kurihara,et al. Sleep-Stage Decision Algorithm by Using Heartbeat and Body-Movement Signals , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[19] Sabine Van Huffel,et al. An Evaluation of Cardiorespiratory and Movement Features With Respect to Sleep-Stage Classification , 2014, IEEE Journal of Biomedical and Health Informatics.