Artificial Neural Network and Wavelet Based Automated Detection of Sleep Spindles, REM Sleep and Wake States
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[1] Rakesh Kumar Sinha,et al. An approach to estimate EEG power spectrum as an index of heat stress using backpropagation artificial neural network. , 2007, Medical engineering & physics.
[2] R. K. Sinha. Artificial neural network detects changes in electro-encephalogram power spectrum of different sleep-wake states in an animal model of heat stress , 2003, Medical and Biological Engineering and Computing.
[3] M. Kerkhofs,et al. Automated sleep scoring: a comparative reliability study of two algorithms. , 1987, Electroencephalography and clinical neurophysiology.
[4] A. Ray,et al. Chronic exercise alters EEG power spectra in an animal model of depression. , 1996, Indian journal of physiology and pharmacology.
[5] S. Sarbadhikari. A neural network confirms that physical exercise reverses EEG changes in depressed rats. , 1995, Medical engineering & physics.
[6] A. Rechtschaffen,et al. A manual of standardized terminology, technique and scoring system for sleep stages of human subjects , 1968 .
[7] Elif Derya Übeyli. Wavelet/mixture of experts network structure for EEG signals classification , 2008, Expert Syst. Appl..
[8] Osman Erogul,et al. Automatic recognition of vigilance state by using a wavelet-based artificial neural network , 2005, Neural Computing & Applications.
[9] J D Chen,et al. Non-invasive identification of gastric contractions from surface electrogastrogram using back-propagation neural networks. , 1995, Medical engineering & physics.
[10] Elif Derya íbeyli. Wavelet/mixture of experts network structure for EEG signals classification , 2008 .
[11] R Ferri,et al. Comparison between the results of an automatic and a visual scoring of sleep EEG recordings. , 1989, Sleep.
[12] E. Basar,et al. Wavelet entropy analysis of event-related potentials indicates modality-independent theta dominance , 2002, Journal of Neuroscience Methods.
[13] J P Macher,et al. Neural network model: application to automatic analysis of human sleep. , 1993, Computers and biomedical research, an international journal.
[14] Zhouyan Feng,et al. Analysis of rat electroencephalogram during slow wave sleep and transition sleep using wavelet transform. , 2003, Sheng wu hua xue yu sheng wu wu li xue bao Acta biochimica et biophysica Sinica.
[15] Zi-Jian Cai,et al. The functions of sleep: Further analysis , 1991, Physiology & Behavior.
[16] 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.
[17] M. Akin,et al. Comparison of Wavelet Transform and FFT Methods in the Analysis of EEG Signals , 2002, Journal of Medical Systems.
[18] Jacek M. Zurada,et al. Introduction to artificial neural systems , 1992 .
[19] C.E. D'Attellis,et al. A data-reduction process for long-term EEGs. Feature extraction through digital processing in a multiresolution framework , 1999, IEEE Engineering in Medicine and Biology Magazine.
[20] Yan Guozheng,et al. EEG feature extraction based on wavelet packet decomposition for brain computer interface , 2008 .
[21] Steven Walczak,et al. An Artificial Neural Network Approach to Diagnosing Epilepsy Using Lateralized Bursts of Theta EEGs , 2001, Journal of Medical Systems.
[22] V. Srinivasan,et al. Artificial Neural Network Based Epileptic Detection Using Time-Domain and Frequency-Domain Features , 2005, Journal of Medical Systems.
[23] J Hasan,et al. Past and future of computer-assisted sleep analysis and drowsiness assessment. , 1996, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[24] Rakesh Kumar Sinha,et al. Backpropagation Artificial Neural Network Classifier to Detect Changes in Heart Sound due to Mitral Valve Regurgitation , 2007, Journal of Medical Systems.
[25] Metin Akay,et al. The effects of morphine on the relationship between fetal EEG, breathing and blood pressure signals using fast wavelet transform , 1996, Biological Cybernetics.
[26] E. Wolpert. A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects. , 1969 .
[27] S. Tufik,et al. Altered sleep and behavioral patterns of arthritic rats. , 2000, Sleep research online : SRO.
[28] P. Marche,et al. Automated neural network detection of wavelet preprocessed electrocardiogram late potentials , 2006, Medical and Biological Engineering and Computing.
[29] Kenichi Saito,et al. Foci identification of spike discharges in the EEGs of sleeping El mice based on the electric field model and wavelet decomposition of multi monopolar derivations , 2002, Journal of Neuroscience Methods.
[30] J Röschke,et al. Recognition of rapid-eye-movement sleep from single-channel EEG data by artificial neural networks: a study in depressive patients with and without amitriptyline treatment. , 1996, Neuropsychobiology.
[31] A N Mamelak,et al. Automated staging of sleep in cats using neural networks. , 1991, Electroencephalography and clinical neurophysiology.
[32] R. K. Sinha. Electro-encephalogram disturbances in different sleep-wake states following exposure to high environmental heat , 2004, Medical and Biological Engineering and Computing.
[33] C. Robert,et al. Review of neural network applications in sleep research , 1998, Journal of Neuroscience Methods.
[34] A. Muzet,et al. Sleep stage scoring using the neural network model: comparison between visual and automatic analysis in normal subjects and patients. , 1996, Sleep.
[35] A. Figliola,et al. Analysis of physiological time series using wavelet transforms. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[36] G Pfurtscheller,et al. Sleep Classification in Infants Based on Artificial Neural Networks. Schlafklassifikation mit Hilfe neuronaler Netzwerke , 1992, Biomedizinische Technik. Biomedical engineering.
[37] J.C. Principe,et al. Information processing models for automatic sleep scoring , 1989, Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,.
[38] Guy Albert Dumont,et al. Quantifying cortical activity during general anesthesia using wavelet analysis , 2006, IEEE Transactions on Biomedical Engineering.
[39] Jean Gotman,et al. Computer-assisted sleep staging , 2001, IEEE Trans. Biomed. Eng..
[40] M.H. Hassoun,et al. Fundamentals of Artificial Neural Networks , 1996, Proceedings of the IEEE.
[41] J R Smith,et al. EEG sleep stage scoring by an automatic hybrid system. , 1971, Electroencephalography and clinical neurophysiology.
[42] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[43] J. Allan Hobson,et al. A microcomputer-based system for automated EEG collection and scoring of behavioral state in cats , 1988, Brain Research Bulletin.
[44] Sadik Kara,et al. Neural Network-Based Diagnosing for Optic Nerve Disease from Visual-Evoked Potential , 2007, Journal of Medical Systems.
[45] Paul S Addison,et al. Wavelet transforms and the ECG: a review , 2005, Physiological measurement.
[46] Tsuyoshi Shiina,et al. Detection of characteristic waves of sleep EEG by neural network analysis , 2000, IEEE Transactions on Biomedical Engineering.
[47] B.H. Jansen,et al. Knowledge-based approach to sleep EEG analysis-a feasibility study , 1989, IEEE Transactions on Biomedical Engineering.