Identification of sympathetic and parasympathetic nerves function in cardiovascular regulation using ANFIS approximation

Artificial Intelligence in Medicine

Volumn 52, Issue 1, 2011, Pages 27-32

  Jalali, Ali ^a   Ghaffari, Ali ^b   Ghorbanian, Parham ^a   Nataraj, Chandrasekhar ^a  

^a Villanova University   (United States)

^b K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Adaptive neuro fuzzy inference systems; Cardiovascular system; Heart rate baroreflex; Nonlinear system identification

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AUTONOMIC NERVOUS SYSTEM; BAROREFLEX; CARDIOVASCULAR REGULATION; HEART RATE BAROREFLEX; HEART RATES; MODEL ACCURACY; NON-LINEAR MODEL; NONLINEAR SYSTEM IDENTIFICATION; PHYSIONET; REGULATORY SYSTEMS; ROOT MEAN SQUARE ERRORS; SYMPATHETIC NERVES; SYSTEM MODELING;

CARDIOVASCULAR SYSTEM; FUZZY INFERENCE; FUZZY SYSTEMS; NONLINEAR SYSTEMS; TRACKING (POSITION);

MEMBERSHIP FUNCTIONS;

ADRENERGIC SYSTEM; ADULT; ARTICLE; AUTONOMIC NERVOUS SYSTEM; CARDIOVASCULAR FUNCTION; CHOLINERGIC SYSTEM; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; FUZZY SYSTEM; HEART RATE; HUMAN; MALE; NONLINEAR SYSTEM; PREDICTION; PRESSORECEPTOR REFLEX; PRIORITY JOURNAL; SYMPATHETIC NERVE; VALIDATION PROCESS;

BAROREFLEX; CARDIOVASCULAR SYSTEM; COMPUTER SIMULATION; FUZZY LOGIC; HUMANS; MODELS, CARDIOVASCULAR; PARASYMPATHETIC NERVOUS SYSTEM; SYMPATHETIC NERVOUS SYSTEM;

EID: 79955957372     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2011.01.002     Document Type: Article

References (20)

1. Guyton A.C., Hall J.E. Textbook of medical physiology 2005, WB Saunders, Philadelphia.
2. accessed: 28 May 2010. http://www.hcc.uce.ac.uk/physiology/circulation02.htm.
3. Appel M.L., Saul J.P., Berger R.D., Cohen R.J. Closed-loop identification of blood pressure variability mechanisms, blood pressure and heart rate variability. Blood pressure and heart rate variability 1993, 68-74. IOS Press, Amsterdam. M.D. RienZo (Ed.).
4. Perrot M.H., Cohen R.J. An efficient approach to ARMA modeling of biological systems with multiple inputs and delays. IEEE Transaction in Biomedical Engineering 1996, 43:1-14.
5. Mullen T.J., Appel M.L., Mukkamala R., Matias J.M., Cohen R.J. System identification of closed loop cardiovascular control: effects of posture and autonomic blockade. American Journal of Physiology 1997, 272:H448-461.
6. Virgilio B.D., Barbieri R., Mainardi S., Cerutti S. A multivariable time-variant AR method for the analysis of heart rate and arterial blood pressure. Medical Engineering and Physics 1997, 19:109-124.
7. Mukkamala R. A forward model-based analysis of cardiovascular system identification methods 2000, MIT Ph.D. thesis, Department of Electrical Engineering and Computer Science, Cambridge.
8. Xiao X., Mukkamala R., Cohen R.J. A weighted-principal component regression method for the identification of physiologic systems. IEEE Transaction in Biomedical Engineering 2006, 53:1521-1530.
9. Ahmed A.K., Fakhouri S.Y., Hames J.B., Meams A.J. Modeling of the control of heart rate by breathing using Kernel method. Journal of Theoretical Biology 1996, 119:67-79.
10. Marmarelis V.Z. Identification of nonlinear biological systems using laguerre expansions of Kernels. Annals in Biomedical Engineering 1993, 21:573-589.
11. Chon K.H., Mullen T.J., Cohen R.J. A dual-input nonlinear system analysis of autonomic modulation of heart rate. IEEE Transaction in Biomedical Engineering 1996, 43:530-544.
12. McCombie D.B., Reisner A.T., Asada H.H. Laguerre-model blind system identification: cardiovascular dynamics estimated from multiple peripheral circulatory signals. IEEE Transaction in Biomedical Engineering 2005, 52:1889-1901.
13. Chon K.H., Mukkamala R., Toska K., Mullen T.J., Armoundas A.A., Cohen R.J. Linear and nonlinear system identification of autonomic heart-rate modulation. IEEE Engineering in Medicine and Biology Magazine 1997, 16:96-105.
14. Liu J., Jamshidi M., Pourbabak S. Human cardiovascular system identification and application using a hybrid method of auto-regression and neuro-fuzzy inference systems. Proceeding of Machine Learning and Cybernetics conference 2004, 4107-4112.
15. Ljung L. System identification theory for users 1999, Prentice Hall, New Jersey.
16. Goldberger A.L., Amaral L.A., Glass L., Housdorff J.M., Ivanov P.C., Mark R.G., et al. PhysioBank, PhysioToolkit and PhysioNet components of new research resource for complex physiologic signals. Circulation 2000, 101:215-220.
17. accessed: 3 January 2011. http://www.physionet.org/physiobank/database/slpdb/.
18. Manical G., Mark A.L. Handbook of physiology 1983, American Physiological Society, Maryland.
19. Xiao X., Mullen T.J., Mukkamala R. System identification: a multi-signal approach for probing neural cardiovascular regulation. Physiological Measurement 2005, 26:41-71.
20. Akaike H. Fitting autoregressive models for prediction. Annals of the Institute of Statistical Mathematics 1969, 21:243-247.