[1]Chiu, C.C, Yeh, S.J., Chen, C.H., ”Self-organizing arterial pressure pulse classification using neural networks: Theoretical considerations and clinical applicability” , Computers in Biology and Medicine, Vol. 30,2000, pp.71-88.
[2]許濬麟(2008),”自我組織式類神經網路應用於即時心電圖波形分類”,逢甲大學自動控制工程研究所碩士論文.[3]Backman, I.N., “Feature-based detection of k-complex wave in the human electroencephalogram using neural networks”, IEEE Transactions on Biomedical Engineering. Vol. 39, No. 12, December, 1992.pp.1305-1310.
[4]Shimada, T., “Sleep stage diagnosis system with neural network Analysis”, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 20, No 4, 1998.pp2074-2077.
[5]Park, H.J., Oh, J.S. et al., “Automated sleep stage scoring using hybrid rule and case-base reasoning”, Computers and Biomedicine Research, Vol. 33, 2000,pp. 330-349.
[6]Tian, J.Y., Liu, J.Q., ”Automated sleep staging by a hybrid system comprising neural network and fuzzy rule-base resonance”, IEEE Engineering in Medicine and Biology 27th Annual Conference ,2005.pp.4115-4118.
[7]Baumgart-Schmitt R, Herrmann WM et al., ”On the use of neural network techniques to analyze sleep EEG data”, Neuropsychobiology, Vol. 37,pp.49-58.
[8]Ebrahimi, F., ”Automatic sleep stage classification based on EEG signals by using neural networks and wavelet packet coefficients”, 30th Annual International IEEE EMBS Conference, 2005, pp.1151-1154.
[9]Shimada, T. , ”The automatic sleep stage diagnosis method by using SOM”, ICBME 2008, Proceedings 23, pp.245-248.
[10]Busek, P., ”Spectral analysis of heart rate variability in sleep”, Physiol. Res. 54, 2005, pp. 369-376.
[11]Lewicke, Arson, ”Sleep versus wake classification from heart rate variability using computational intelligence: Consideration of rejection in classification models“, IEEE transactions on biomedical engineering, Vol.55, NO.1, 2008.pp.108-118.
[12]溫國棟(2002),”智慧化臨床資訊自動篩選與分析技術研究”, 中原大學醫學工程學系碩士論文.[13]邱晧智(2008),”以單頻道腦電波訊號偵測慢波睡眠“,國立中山大學機械與機電工程所碩士論文.[14]Chang, W.H., “Basic mechanism for generation of brain rhythms”, Acta Neurological Taiwanica. Vol. 13, No. 4, 2004.pp.203-210.
[15]葉怡成,應用類神經網路,儒林,1997.
[16]Aguiar, P., EEG solver-brain activity and genetic algorithms, ACM Press, 2000. pp.88-84.
[17]Rechtschaffen, A., Kales, A., eds., ”A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects ”. Los Angeles UCLA Brain Information Service/Brain Research Institute, 1968.
[18]Conn, P.P., Neuroscience in Medicine Third Edition, Humana Press, pp.626.
[19]關尚勇,林吉和,破解腦電波—EEG教材,藝軒圖書出版社,第二章,2007.
[20]林昇甫、洪成安, “神經網路入門與圖樣辨識”, 全華科技圖書股份有限公司.
[21Carpenter, G.A., Grossberg, S., “The ART of adaptive pattern recognition by a self-organizing neural network” , IEEE Computer, 1988. pp.77-88.
[22]Carpenter, G.A., Grossberg, S., “Pattern recognition by self-organizing neural networks”. The MIT Press, Massachusetts, Cambridge, 1991. pp. 397-424.