Toward prediction of physiological state signals in sleep apnea

IEEE Transactions on Biomedical Engineering

Volumn 45, Issue 11, 1998, Pages 1332-1341

  Bock, Joel ^a,b   Gough, David A ^b  

^a IEEE

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

Nonlinear dynamics prediction; Recurrent neural network; Sleep apnea

Indexed keywords

CARDIOLOGY; ERROR ANALYSIS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; PATIENT MONITORING; PHYSIOLOGY; RECURRENT NEURAL NETWORKS; RESPIRATORY MECHANICS; RESPIRATORY THERAPY; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS; TIME DOMAIN ANALYSIS;

CONTINUOUS POSITIVE AIRWAY PRESSURE; DYNAMIC RESPIRATORY STATE; NONLINEAR DYNAMIC PREDICTION; RECURRENT CONNECTIONIST MODEL; SLEEP APNEA;

SLEEP RESEARCH;

ARTICLE; NERVE CELL NETWORK; NONLINEAR SYSTEM; OXYGEN SATURATION; PREDICTION; RISK ASSESSMENT; SLEEP APNEA SYNDROME;

HEART RATE; HUMANS; MODELS, BIOLOGICAL; MONITORING, PHYSIOLOGIC; NONLINEAR DYNAMICS; PREDICTIVE VALUE OF TESTS; REGRESSION ANALYSIS; RESPIRATORY PHYSIOLOGY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SLEEP APNEA SYNDROMES;

EID: 0032213605     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.725330     Document Type: Article

References (47)

1. W. Chua and A. D. Chediak, "Obstructive sleep apnea: Treatment improves quality of life- and may prevent deaths," Postgrad. Med., vol. 95, no. 2, pp. 123-138, 1994.
2. D. N. F. Fairbanks, "Snoring: An overview with historical perspectives," in Snoring and Obstructive Apnea, 2nd ed., D. N. F. Fairbanks and S. Fujita, Eds. New York: Raven, 1994.
3. J. R. Stradling, Handbook of Sleep-Related Breathing Disorders. New York: Oxford Univ. Press, 1993.
4. C. E. Sullivan, M. Berthon-Jones, F. G. Issa, and L. Eves, "Reversal of obstructive sleep apnea by continuous positive airway pressure applied through the nares," Lancet, vol. 1, pp. 862-865, 1981.
5. V. Hoffstein and S. Mateika, "Predicting nasal continuous positive airway pressure," Amer. J. Respirat., Crit. Care Med., vol. 150, no. 2, pp. 486-488, 1994.
6. L. S. Aboussounan, J. A. Golish, and B. G. Wood, "Obstructive sleep apnea: Warding off the sometimes dire consequences," Postgrad. Med., vol. 96, no. 3, pp. 115-122, 1994.
7. J. M. Montserrat, E. Ballester, H. Olivi, A. Reolid, P. Lloberes, A. Morello, and R. Rodriguez-Roisin, "Time-course of stepwise CPAP titration: Behavior of respiratory and neurological variables," Amer. J. Respirat., Crit. Care Med., vol. 152, no. 6, pp. 1854-1859, 1995.
8. P. Dagum and A. Galper, "Forecasting sleep apnea with dynamic network models," in Proc. 9th Conf. Uncertainty in Artificial Intelligence, July 1992, pp. 64-71.
9. _, "Time series prediction using belief network models," Int. J. Human-Comput. Studies, vol. 42, pp. 617-632, 1995.
10. D. R. Rigney, A. L. Goldberger, W. C. Ocasio, Y. Ichimaru, G. Moody, and R. Mark, "Multi-channel physiological data: Description and analysis," in Time Series Prediction: Forecasting the Future and Understanding the Past, Santa Fe Institute Studies in the Science of Complexity, Proceedings Volume XV, 3rd ed., A. S. Weigend and N. A. Gershenfeld, Eds. Reading, MA: Addison-Wesley, 1994.
11. H. Card, "Digital VLSI backpropagation networks," Can. J. Electr., Comput. Eng., vol. 20, pp. 15-23, 1995.
12. P. Baldi, "Gradient descent learning algorithm overview: A general dynamical systems perspective," IEEE Trans. Neural Networks, vol. 6, pp. 182-195, Jan. 1995.
13. K. Hornik, M. Stinchcombe, and H. White, "Multilayer feedforward networks are universal approximators," Neural Networks, vol. 2, pp. 359-366, 1989.
14. G. Cybenko, "Approximation by superpositions of a sigmoidal function," Math. Contr., Signals, Syst., vol. 2, no. 4, pp. 303-315, 1989.
15. F. Takens, "Detecting strange attractors in turbulence," in Dynamical Systems and Turbulence, Lecture Notes in Mathematics, vol. 898, D. A. Rand and L. S. Yang, Eds. Berlin, Germany: Springer-Verlag, 1981.
16. T. Sauer, J. A. Yorke, and M. Casdagli, "Embedology," J. Stat. Phys., vol. 65, nos. 3/4, pp. 579-616, 1991.
17. F. S. Grodins, Control Theory and Biological Systems. New York: Columbia Univ. Press, 1963.
18. M. D. B. Daly, "Interactions between respiration and circulation," in Handbook of Physiology. Section 3: The Respiratory System. Volume II: Control of Breathing - Part 2. Bethesda, MD: Amer. Physiolog. Soc., 1986.
19. M. C. Mackey and L. Glass, "Oscillation and chaos in physiological control systems," Sci., vol. 197, pp. 287-289, 1977.
20. F. Plum and R. J. Leigh, "Abnormalities of central mechanisms," in Regulation of Breathing, Part II, T. F. Hornbein, Ed. New York: Marcel-Dekker, 1981.
21. N. S. Cherniack and G. S. Longobardo, "The chemical control of respiration," Ann. Biomed. Eng., vol. 9, nos. 5, 6, pp. 395-407, 1981.
22. 2 stimulation," IEEE Trans. Biomed. Eng., vol. 44, no. 5, pp. 357-366, 1997.
23. M. C. Casdagli and A. S. Weigend, "Exploring the continuum between deterministic and stochastic modeling," in Time Series Prediction: Forecasting the Future and Understanding the Past, Santa Fe Institute Studies in the Science of Complexity, Proceedings Volume XV, 3rd ed., A. S. Weigend and N. A. Gershenfeld, Eds. Reading, MA: Addison-Wesley, 1994.
24. B. de Vries and J. Principe, "The Gamma model - A new neural net model for temporal processing," Neural Networks, vol. 5, pp. 565-576, 1992.
25. C.-M. Kuan and T. Liu, "Forecasting exchange rates using feedforward and recurrent neural networks," J. Appl. Econometrics, vol. 10, pp. 347-364, 1995.
26. J. L. Elman, "Finding structure in time," Cogn. Sci., vol. 14, pp. 179-211, 1990.
27. M. C. Mozer, "Neural net architectures for temporal sequence processing," in Time Series Prediction: Forecasting the Future and Understanding the Past, Santa Fe Institute Studies in the Science of Complexity, Proceedings Volume XV, 3rd ed., A. S. Weigend and N. A. Gershenfeld, Eds. Reading, MA: Addison-Wesley, 1994.
28. A. Waibel, T. Hanazawa, G. Hinton, K. Shikano, and K. J. Lang. "Phoneme recognition: Neural networks versus hidden Markov models," in Proc. ICASSP, 1988, vol. S3.3, pp. 107-110.
29. A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing, Prentice-Hall Signal Processing Series. Englewood Cliffs, NJ: Prentice-Hall, 1989.
30. C. Guilleminault, R. Stoohs, A. Clerk, J. Simmons, and M. Labanowski, "From obstructive sleep apnea syndrome to upper airway resistance syndrome: Consistency of daytime sleepiness," Sleep, vol. 15, no. 6, pp. S13-S16, 1992.
31. M. Casdagli, "Nonlinear prediction of chaotic time series," Physica D, vol. 35, pp. 335-356, 1989.
32. A. M. Fraser and H. L. Swinney, "Independent coordinates for strange attractors from mutual information," Physical Rev. A, vol. 33, pp. 1134-1140, 1986.
33. P. Grassberger and I. Procaccia, "Characterization of strange attractors," Physical Rev. Lett., vol. 50, pp. 346-349, 1983.
34. L. Glass and D. T. Kaplan, "Complex dynamics in physiology and medicine," in Time Series Prediction: Forecasting the Future and Understanding the Past, Santa Fe Institute Studies in the Science of Complexity, Proceedings Volume XV, 3rd ed., A. S. Weigend and N. A. Gershenfeld, Eds. Reading, MA: Addison-Wesley, 1994.
35. A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov exponents from a time series," Physica D, vol. 16, no. 2, pp. 285-317, 1985.
36. R. Hecht-Nielsen, Neurocomputing. Reading, MA: Addison-Wesley, 1990.
37. D. E. Rumelhart, G. E. Hinton, and J. L. McClelland, "Learning internal representations by error propagation," in Parallel Distributed Processing: Explorations in the Microstructure of Cognition-Volumes I: Foundations. Cambridge, MA: MIT Press, 1986.
38. P. J. Werbos, "Backpropagation through time-What it does and how to do it," Proc. IEEE, vol. 78, pp. 1550-1560, 1990.
39. S. D. Levy, SNARL v1.0 reference manual, Dept. Comput. Sci., Univ. Tennessee, Knoxville, 1996.
40. J. C. Principe, A. Rathie, and J.-M. Kuo, "Prediction of chaotic time series with neural networks and the issue of dynamics modeling," Int. J. Bifurcation, Chaos, vol. 2, no. 4, pp. 989-996, 1992.
41. E. N. Lorenz, "Deterministic nonperiodic flow," J. Atmospheric Sci., vol. 20, pp. 130-141, 1963.
42. S. Haykin and L. Li, "Nonlinear adaptive prediction of nonstationary signals," IEEE Trans. Signal Processing, vol. 43, no. 2, pp. 526-535, 1995.
43. J. Wiles and J. Elman, "Learning to count without a counter: A case study of dynamics and activation landscapes in recurrent networks," in Proc. 17th Annu. Conf. Cognitive Science Society, 1995, pp. ?.
44. J. E. Skinner, C. Carpeggiani, C. E. Landisman, and K. W. Fulton, "Correlation dimension of heartbeat intervals is reduced in conscious pigs by myocardial ischemia," Circ. Res., vol. 68, no. 4, pp. 966-976, 1991.
45. B. R. Bowman and E. Schuck, "Medical instruments and devices used in the home," in The Biomedical Engineering Handbook, J. D. Bronzino, Ed. Boca Raton, FL: CRC, 1995.
46. J. P. Crutchfield and J. D. Farmer, "Fluctuations and simple chaotic dynamics," Phys. Rep., vol. 92, no. 2, pp. 45-82, 1992.
47. 2 in humans," J. Appl. Physiol., vol. 76, pp. 2765-2775, 1994.