Automatic detection of distorted plethysmogram pulses in neonates and paediatric patients using an adaptive-network-based fuzzy inference system
Tóm tắt
Từ khóa
Tài liệu tham khảo
Adams, 1995, A computer algorithm for differentiating valid from distorted pulse oximeter waveforms in neonates, Paediatr. Pulmonol., 19, 307, 10.1002/ppul.1950190510
Araki S, Nomura H, Hayashi L, Wakami N. Self generating method of fuzzy inference rules. In: Proceedings of the International Fuzzy Engineering Symposium. IFES’92 (Ohmsha, Japan). Ohmsha, Japan: IOS Press, 1992. p. 1047–58.
Belal, 2001, A fuzzy system for detecting distorted plethysmogram pulses in neonates and paediatric patients, Physiol. Measure., 22, 397, 10.1088/0967-3334/22/2/311
Berenji, 1992, Learning and tuning fuzzy logic controllers through reinforcements, IEEE Trans. Neural Networks, 3, 724, 10.1109/72.159061
Cunningham, 1997, Comparison of nurse and computer charting of physiological variables in an intensive care unit, Int. J. Clin. Monit. Comput., 13, 235, 10.1023/A:1016967407632
Durand, 1986, Pulse oximetry for continuous oxygen monitoring in sick newborn infants, J. Paediatr., 109, 1052, 10.1016/S0022-3476(86)80298-0
Fanconi, 1985, Pulse oximetry in paediatric intensive care: comparison with measured saturations and transcutaneous oxygen tension, J. Paediatr., 107, 362, 10.1016/S0022-3476(85)80507-2
Grieve, 1997, Comparison of two different pulse oximeters in monitoring preterm infants, Crit. Care Med., 25, 2051, 10.1097/00003246-199712000-00025
Halgamuge, 1994, Neural networks in designing fuzzy systems for real world applications, Fuzzy Sets Syst., 65, 1, 10.1016/0165-0114(94)90242-9
Hanley, 1982, The meaning and use of the area under a receiver operating characteristic (ROC) curve, Radiology, 143, 29, 10.1148/radiology.143.1.7063747
Hudson DL, Cohen ME. In: Akay M, editor. Neural networks and artificial intelligence for biomedical engineering. New York: IEEE Press, 2000.
Ichikawa R, Nishimura K, Kunugi M, Shimada K. Auto-tuning method of fuzzy membership functions using neural network learning algorithm. In: Proceedings of the 2nd International Conference on Fuzzy Logic and Neural Networks. IIZUKA’92 (Iizuka, Japan). Iizuka, Japan: Fuzzy Logic Systems Institute Press, 1992. p. 345–8.
Jang R. Fuzzy controller design without domain experts. In: Proceedings of the IEEE International Conference on Fuzzy Systems. FUZZ-IEEE (San Diego, CA). Piscataway, NJ: IEEE Press, 1992. p. 289–96.
Jang, 1992, Self-learning fuzzy controllers based on temporal back propagation, IEEE Trans. Neural Networks, 3, 714, 10.1109/72.159060
Jang, 1993, ANFIS: adaptive-network-based fuzzy inference system, IEEE Trans. Syst. Man Cybernetics, 23, 665, 10.1109/21.256541
Karr, 1991, Applying genetics to fuzzy logic, AI Expert, 6, 26
Katayama R, Kajitani Y, Nishida Y. A self generating and tuning method for fuzzy modelling using interior penalty method. In: Proceedings of the 2nd International Conference on Fuzzy Logic and Neural Networks (IIZUKA’92, Iizuka, Japan). Iizuka, Japan: Fuzzy Logic Systems Institute Press, 1992. p. 349–52.
Koeck, 1995, Pulse oximetry in ventilated preterm newborns: reliability of detection of hyperoxaemia and hypoaxaemia, and feasibility of alarm settings, Acta Paediatr., 84, 613, 10.1111/j.1651-2227.1995.tb13709.x
Lafontine, 1996, Pulse oximetry: accuracy of methods of interpreting graphic summaries, Paediatr. Pulmonol., 21, 121, 10.1002/(SICI)1099-0496(199602)21:2<121::AID-PPUL7>3.0.CO;2-U
Lamb JF, Ingram CG, Johnston IA, Pitman RM. Essentials of physiology. Oxford: Blackwell Scientific, 1991.
Lee, 1996, Fuzzy inference neural network for fuzzy model tuning, Cybernetics, 26, 637
Makivirta, 1991, The median filter as a processor for patient monitor limit alarm system in intensive care, Comput. Meth. Programs Biomed., 34, 139, 10.1016/0169-2607(91)90039-V
Metz, 1999, “Proper” binomial ROC curves: theory and maximum-likelihood estimation, J. Math. Psychol., 43, 1, 10.1006/jmps.1998.1218
Michael A, Takagi H. Integrating design stages of fuzzy systems using genetic algorithms. In: Proceedings of the 2nd IEEE International Conference on Fuzzy Systems. FUZZ-IEEE’93 (San Francisco, CA). Piscataway, NJ: IEEE Press, 1993. p. 612–7.
Nauck, 1999, Obtaining interpretable fuzzy classification rules from medical data, Artif. Intell. Med., 16, 149, 10.1016/S0933-3657(98)00070-0
Nomura H, Hayashi L, Wakami N. A self-tuning method of fuzzy reasoning by genetic algorithm, In: Proceedings of the International Fuzzy Systems and Intelligent Control Conference. IFSICC’92 (Louisville, KY). Louisville, KY: Institution for Fuzzy Systems and Intelligent Control Press, 1992. p. 236–45.
Poets, 1994, Non-invasive monitoring of oxygen in infants and children: practical considerations and area of concern, Paediatrics, 93, 737, 10.1542/peds.93.5.737
Poets, 1997, Detection of movement artifact in recorded pulse oximeter saturation, Eur. J. Paediatr., 156, 808, 10.1007/s004310050719
Rheineck-Leyssius, 1998, Influence of pulse oximeter settings on the frequency of alarms and detection of hypoxaemia, J. Clin. Monit. Comput., 14, 151, 10.1023/A:1007431305610
Sinex, 1999, Pulse oximetry: principles and limitations, Am. J. Emergency Med., 17, 59, 10.1016/S0735-6757(99)90019-0
Takagi, 1991, NN-driven fuzzy reasoning, Int. J. Approx. Reason., 5, 191, 10.1016/0888-613X(91)90008-A
Thilo, 1993, Saturation by pulse oximetry: comparison of the results obtained by instruments of different brands, J. Paediatr., 122, 620, 10.1016/S0022-3476(05)83549-8
Tsien, 1997, Poor prognosis for existing monitors in the intensive care unit, Crit. Care Med., 25, 614, 10.1097/00003246-199704000-00010
Usher, 1999, A fuzzy logic-controlled classifier for use in implantable cardioverter defibrillators, Pacing Clin. Electrophysiol., 22, 183, 10.1111/j.1540-8159.1999.tb00329.x
Virant-Klun, 1999, Fuzzy logic alternative for analysis in biomedical sciences, Comput. Biomed. Res., 32, 305, 10.1006/cbmr.1999.1517