Multimodal signal processing for the analysis of Cardiovascular variability

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Volumn 367, Issue 1887, 2009, Pages 391-409

  Porta, Alberto ^a   Aletti, Federico ^b   Vallais, Frederic ^b   Baselli, Giuseppe ^b  

^a UNIVERSITY OF MILAN   (Italy)

^b POLITECNICO DI MILANO   (Italy)

Author keywords

Cardiovascular regulation; Cardiovascular variability; Closed loop identification; Granger's causality; Heart rate variability; Multi channel signal processing

Indexed keywords

HEART VALVE PROSTHESES; RESPIRATORY MECHANICS; SIGNAL PROCESSING;

CARDIOVASCULAR REGULATION; CARDIOVASCULAR VARIABILITY; CLOSED-LOOP IDENTIFICATION; GRANGER'S CAUSALITY; HEART RATE VARIABILITY; MULTI-CHANNEL SIGNAL PROCESSING;

IDENTIFICATION (CONTROL SYSTEMS);

ALGORITHM; BIOLOGICAL MODEL; CARDIOVASCULAR DISEASE; HEMODYNAMICS; HUMAN; INFORMATION PROCESSING; MULTIVARIATE ANALYSIS; REVIEW; SIGNAL PROCESSING; STATISTICAL ANALYSIS; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; AUTOMATIC DATA PROCESSING; CARDIOVASCULAR DISEASES; DATA INTERPRETATION, STATISTICAL; HEMODYNAMICS; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MODELS, THEORETICAL; MULTIVARIATE ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 65849126093     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2008.0229     Document Type: Article

References (86)

1. Abarbanel, H. D. I., Carroll, T. L., Pecora, L. M., Sidorowich, J. J. and Tsimring, L. S. 1994 Predicting physical variables in time-delay embedding. Phys. Rev. E 49, 1840-1853. (doi:10. 1103/PhysRevE.49.1840)
2. Akselrod, S., Gordon, D., Ubel, F. A., Shannon, D. C., Berger, A. C. and Cohen, R. J. 1981 Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. Science 213, 220-222. (doi:10.1126/science.6166045)
3. Allen, J. 2007 Photoplethysmography and its application in clinical physiological measurement. Physiol. Measure. 28, R1-R39. (doi:10.1088/0967-3334/28/3/R01)
4. Baccalà, L. and Sameshima, K. 2001 Partial directed coherence: a new concept in neural structure determination. Biol. Cybern. 84, 463-474. (doi:10.1007/PL00007990)
5. Baselli, G., Cerutti, S., Civardi, S., Malliani, A. and Pagani, M. 1988 Cardiovascular variability signals: towards the identification of a closed-loop model of the neural control mechanisms. IEEE Trans. Biomed. Eng. 35, 1033-1046. (doi:10.1109/10.8688)
6. Baselli, G. et al. 1994 A model for the assessment of heart period and arterial pressure variability interactions and of respiration influences. Med. Biol. Eng. Comput. 32, 143-152. (doi:10.1007/BF02518911)
7. Baselli, G., Porta, A., Rimoldi, O., Pagani, M. and Cerutti, S. 1997 Spectral decomposition in multichannel recordings based on multivariate parametric identification. IEEE Trans. Biomed. Eng. 44, 1092-1101. (doi:10.1109/10.641336)
8. Baselli, G., Porta, A., Cerutti, S., Caiani, E. G., Lucini, D. and Pagani, M. 2001 RR-arterial pressure variability relationships. Auton. Neurosci. 90, 57-65. (doi:10.1016/S1566-0702(01)00268-5)
9. Baselli, G., Porta, A. and Pagani, M. 2006 Coupling arterial windkessel with peripheral vasomotion: modeling the effects on low-frequency oscillations. IEEE Trans. Biomed. Eng. 53, 53-64. (doi:10.1109/TBME.2005.859787)
10. Bernardi, L., Hayoz, D., Wenzel, R., Passino, C., Calciati, A., Weber, R. and Noll, G. 1997 Synchronous and baroceptor-sensitive oscillations in skin microcirculation: evidence for central autonomic control. Am. J. Physiol. 273, H1867-H1878.
11. Bertinieri, G., Rienzo, M. D., Cavallazzi, A., Ferrari, A. U., Pedotti, A. and Mancia, G. 1988 Evaluation of baroreceptor reflex by blood pressure monitoring in unanesthetized cats. Am. J. Physiol. 254, H377-H383.
12. Boer de, R. W., Karemaker, J. M. and Strackee, J. 1985 Relationships between short-term bloodpressure fluctuations and heart-rate variability in resting subjects. I: a spectral analysis approach. Med. Biol. Eng. Comput. 23, 352-358. (doi:10.1007/BF02441589)
13. Chen, S. and Billings, S. A. 1989 Representation of non-linear systems: the NARMAX model. Int. J. Control 49, 1012-1032.
14. Chen, X., Kim, J., Sala-Mercado, J. A., Hammond, R. L., Elahi, R. I., Scislo, T. J., Swamy, G., O'Leary, D. S. and Mukkamala, R. 2008 Estimation of the total peripheral resistance baroreflex impulse response from spontaneous hemodynamic variability. Am. J. Physiol. Heart Circ. Physiol. 294, H293-H301. (doi:10.1152/ajpheart.00852.2007)
15. Cohen, M. A. and Taylor, J. A. 2002 Short-term cardiovascular oscillations in man: measuring and modelling the physiologies.. J. Physiol. 542, 669-683. (doi:10.1113/jphysiol.2002.017483)
16. Eckberg, D. L. 1997 Sympathovagal balance: a critical appraisal. Circulation 96, 3224-3232.
17. Faes, L., Cucino, R. and Nollo, G. 2006 Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability series. Biomedizinische Technik 51, 255-259. (doi:10.1515/BMT.2006.050)
18. Feldmann, U. and Bhattacharya, J. 2004 Predictability improvement as an asymmetrical measure of interdependence in bivariate time series. Int. J. Bifurc. Chaos 14, 505-514. (doi:10.1142/S0218127404009314)
19. Ghazanshahi, S. D. and Khoo, M. C. 1997 Estimation of chemoreflex loop gain using pseudorandom binary CO2 stimulation. IEEE Trans. Biomed. Eng. 44, 357-366. (doi:10.1109/10.568911)
20. Goldberger, A. L. and West, B. J. 1987 Applications of nonlinear dynamics to clinical cardiology. Ann. NY Acad. Sci. 504, 195-213. (doi:10.1111/j.1749-6632.1987.tb48733.x)
21. Granger, C. W. J. 1963 Economic processes involving feedback information and control. Inf. Control 6, 28-48. (doi:10.1016/S0019-9958(63) 90092-5)
22. Guyton, A. C. and Hall, J. E. 1996 Textbook of medical physiology. Philadelphia, PA: WB Saunders.
23. Guyton, A. C. and Harris, J. W. 1951 Pressoreceptor-autonomic oscillation; a probable cause of vasomotor waves. Am. J. Physiol. 165, 158-166.
24. Hirsch, J. A. and Bishop, B. 1981 Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate. Am. J. Physiol. 241, H620-H629.
25. Hoeper, M. M., Maier, R., Tongers, J., Niedermeyer, J., Hohlfeld, J. M., Hamm, M. and Fabel, H. 1999 Determination of cardiac output by the Fick method, thermodilution and acetylene rebreathing in pulmonary hypertension. Am. J. Respir. Crit. Care Med. 160, 535-541.
26. Hyndman, B. W., Kitney, R. I. and Sayers, B. M. 1971 Spontaneous rhythms in physiological control systems. Nature 233, 339-341. (doi:10.1038/233339a0)
27. Iellamo, F., Rienzo, M. D., Lucini, D., Legramante, J. M., Pizzinelli, P., Castiglioni, P., Pigozzi, F., Pagani, M. and Parati, G. 2006 Muscle metaboreflex contribution to cardiovascular regulation during dynamic exercise in microgravity: insights from mission STS-107 of the space shuttle Columbia. J. Physiol. 572, 829-838. (doi:10.1113/jphysiol.2005.102426)
28. Jo, J. A., Blasi, A., Valladares, E. M., Juarez, R., Baydur, A. and Khoo, M. C. K. 2007 A nonlinear model of cardiac autonomic control in obstructive sleep apnea syndrome. Ann. Biomed. Eng. 35, 1425-1443. (doi:10.1007/s10439-007-9299-5)
29. Julien, C. 2006 The enigma of Mayer waves: facts and models. Cardiovasc. Res. 70, 12-21. (doi:10. 1016/j.cardiores.2005.11.008)
30. Kaiser, A. and Schreiber, T. 2002 Information transfer in continuous process. Physica D 166, 43-62. (doi:10.1016/S0167-2789(02)00432-3)
31. Kaminski, M., Ding, M., Truccolo, W. A. and Bressler, S. 2001 Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance. Biol. Cybern. 85, 145-157. (doi:10.1007/s004220000235)
32. Kappagoda, C. T., Linden, R. J., Scott, E. M. and Snow, H. M. 1975 Atrial receptors and heart rate: the efferent pathway. J. Physiol. 249, 581-590.
33. Katona, P. G., Poitras, J. W., Pantelakis, N., Jensen, E. W. and Barnett, G. O. 1968 Deterministic nature of baroreceptor firing. Am. J. Physiol. 215, 1-7.
34. Kay, S. M. and Marple, S. L. 1981 Spectrum analysis: a modern perspective. Proc. IEEE 69, 1380-1418. (doi:10.1109/PROC.1981. 12184)
35. Khoo, M. C. K. 2000 Physiological control systems. New York, NY: IEEE Press.
36. Kitney, R. I. 1979 A nonlinear model for studying oscillations in the blood pressure control system. J. Biomed. Eng. 1, 89-99. (doi:10.1016/0141-5425(79)90063-3)
37. Kitney, R. I., Fulton, T., McDonald, A. H. and Linkens, D. A. 1985 Transient interactions between blood pressure, respiration and heart rate in man. J. Biomed. Eng. 7, 217-224. (doi:10.1016/0141-5425(85)90022- 6)
38. Koepchen, H. P. 1984 History of studies and concepts of blood pressure waves. In Mechanisms of blood pressure waves (eds K. Miyakawa, H. P. Koepchen and C. Polosa), pp. 3-27. New York, NY: Springer.
39. Laude, D. et al. 2004 Comparison of various techniques used to estimate spontaneous baroreflex sensitivity (the EuroBaVar study). Am. J. Physiol. Regul. Integr. Comp. Physiol. 286, R226-R231.
40. Le Van Quyen, M., Adam, C., Baulac, M., Martinerie, J. and Varela, F. J. 1998 Non linear interdependencies of EEG signals in human intracranially recorded temporal lobe seizures. Brain Res. 792, 24-40. (doi:10.1016/S0006-8993(98)00102-4)
41. Ljung, L. 1999 System identification: theory for the user. Englewood Cliffs, NJ: Prentice-Hall.
42. Lu, Z. and Mukkamala, R. 2006 Continuous cardiac output monitoring in humans by invasive and noninvasive peripheral blood pressure waveform analysis. J. Appl. Physiol. 101, 598-608. (doi:10.1152/japplphysiol.01488. 2005)
43. Lucini, D., Porta, A., Milani, O., Baselli, G. and Pagani, M. 2000 Assessment of arterial and cardiopulmonary baroreflex gains from simultaneous recordings of spontaneous cardiovascular and respiratory variability. J. Hypertens. 18, 281-286. (doi:10.1097/00004872-200018030-00007)
44. Mainardi, L. T., Bianchi, A. M., Furlan, R., Piazza, S., Barbieri, R., di Virgilio, V., Malliani, A. and Cerutti, S. 1997 Multivariate time-variant identification of cardiovascular variability signals: a beat-to-beat spectral parameter estimation in vasovagal syncope. IEEE Trans. Biomed. Eng. 44, 978-989. (doi:10.1109/10.634650) Malliani, A. 2000 Principles of cardiovascular neural regulation in health and disease. Boston, MA: Kluwer Academic.
45. Malliani, A., Pagani, M. and Lombardi, F. 1986 Positive feedback reflexes. In Handbook of hypertension. New York, NY: Elsevier.
46. Malliani, A., Pagani, M., Montano, N. and Mela, G. S. 1998 Sympathovagal balance: a reappraisal. Circulation 98, 2640-2643.
47. Malpas, S. C. 2002 Neural influences on cardiovascular variability: possibilities and pitfalls. Am. J. Physiol. Heart. Circ. Physiol. 282, H6-H20.
48. Marmarelis, V. Z. 1993 Identification of nonlinear biological systems using Laguerre expansions of kernels. Ann. Biomed. Eng. 21, 573-589. (doi:10.1007/BF02368639)
49. Martin, P. J., Levy, M. N. and Zieske, H. 1969 Bilateral carotid sinus control of ventricular performance in the dog. Circ. Res. 24, 321-337.
50. Mukkamala, R., Kim, J., Li, Y., Sala-Mercado, J., Hammond, R. L., Scislo, T. J. and O'Leary, D. S. 2006a Estimation of arterial and cardiopulmonary total peripheral resistance baroreflex gain values: validation by chronic arterial baroreceptor denervation. Am. J. Physiol. Heart Circ. Physiol. 290, H1830-H1836. (doi:10.1152/ajpheart.00898.2005)
51. Mukkamala, R., Reisner, A. T., Hojman, H. M., Mark, R. G. and Cohen, R. J. 2006b Continuous cardiac output monitoring by peripheral blood pressure waveform analysis. IEEE Trans. Biomed. Eng. 53, 459-467. (doi:10.1109/TBME.2005.869780)
52. Nollo, G., Faes, L., Porta, A., Pellegrini, B., Ravelli, F., Del Greco, M., Disertori, M. and Antolini, R. 2002 Evidence of unbalanced regulatory mechanism of heart rate and systolic pressure after acute myocardial infarction. Am. J. Physiol. 283, H1200-H1207.
53. Nollo, G., Faes, L., Porta, A., Antolini, R. and Ravelli, F. 2005 Exploring directionality in spontaneous heart period and systolic arterial pressure variability interactions in humans: implications in the evaluation of baroreflex gain. Am. J. Physiol. 288, H1777-H1785.
54. Pagani, M. et al. 1986 Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog. Circ. Res. 59, 178-193.
55. Pagani, M., Somers, V., Furlan, R., Dell'Orto, S., Conway, J., Baselli, G., Cerutti, S., Sleight, P. and Malliani, A. 1988 Changes in autonomic regulation induced by physical training in mild hypertension. Hypertension 12, 600-610.
56. Pagani, M., Montano, N., Porta, A., Malliani, A., Abboud, F. M., Birkett, C. and Somers, V. K. 1997 Relationship between spectral components of cardiovascular variabilities and direct measures of muscle sympathetic nerve activity in humans. Circulation 95, 1441-1448.
57. Palus, M. 1997 Detecting phase synchronisation in noisy systems. Phys. Lett. A 235, 341-351. (doi:10.1016/S0375-9601(97)00635-X)
58. Palus, M., Komarek, V., Hrncir, Z. and Sterbova, K. 2001 Synchronization as adjustment of information rates: detection from bivariate time series. Phys. Rev. E 63, 046 211. (doi:10.1103/PhysRevE.63.046211)
59. Perini, R., Orizio, C., Milesi, S., Biancardi, L., Baselli, G. and Veicsteinas, A. 1993 Body position affects the power spectrum of heart rate variability during dynamic exercise. Eur. J. Appl. Physiol. Occup. Physiol. 66, 207-213. (doi:10.1007/BF00235095)
60. Pinna, G. D., Maestri, R., Raczak, G. and Rovere, M. T. L. 2002 Measuring baroreflex sensitivity from the gain function between arterial pressure and heart period. Clin. Sci. (Lond.) 103, 81-88.
61. Pomeranz, B. et al. 1985 Assessment of autonomic function in humans by heart rate spectral analysis. Am. J. Physiol. 248, H151-H153.
62. Porta, A., Baselli, G., Lombardi, F., Montano, N., Malliani, A. and Cerutti, S. 1999 Conditional entropy approach for the evaluation of the coupling strength. Biol. Cybern. 81, 119-129. (doi:10. 1007/s004220050549)
63. Porta, A., Baselli, G., Rimoldi, O., Malliani, A. and Pagani, M. 2000a Assessing baroreflex gain from spontaneous variability in conscious dogs: role of causality and respiration. Am. J. Physiol. Heart Circ. Physiol. 279, H2558-H2567.
64. Porta, A., Guzzetti, S., Montano, N., Pagani, M., Somers, V. K., Malliani, A., Baselli, G. and Cerutti, S. 2000b Information domain analysis of cardiovascular variability signals: evaluation of regularity, synchronisation and co-ordination. Med. Biol. Eng. Comp. 38, 180-188. (doi:10.1007/BF02344774)
65. Porta, A., Furlan, R., Rimoldi, O., Pagani, M., Malliani, A. and van de Borne, P. 2002 Quantifying the strength of the linear causal coupling in closed loop interacting cardiovascular variability signals. Biol. Cybern. 86, 241-251. (doi:10.1007/s00422-001-0292-z)
66. Porta, A., Montano, N., Pagani, M., Malliani, A., Baselli, G., Somers, V. K. and van de Borne, P. 2003 Non-invasive model-based estimation of the sinus node dynamic properties from spontaneous cardiovascular variability series. Med. Biol. Eng. Comput. 41, 52-61. (doi:10.1007/BF02343539)
67. Porta, A., Baselli, G. and Cerutti, S. 2006 Implicit and explicit model-based signal processing for the analysis of short-term cardiovascular interactions. Proc. IEEE 94, 805-818. (doi:10.1109/JPROC.2006. 871774)
68. Porta, A., Guzzetti, S., Furlan, R., Gnecchi-Ruscone, T., Montano, N. and Malliani, A. 2007a Complexity and non linearity in short-term heart period variability: comparison of methods based on local non linear prediction. IEEE Trans. Biomed. Eng. 54, 94-106. (doi:10.1109/TBME.2006.883789)
69. Porta, A., Gnecchi-Ruscone, T., Tobaldini, E., Guzzetti, S., Furlan, R. and Montano, N. 2007b Progressive decrease of heart period variability entropy-based complexity during graded headup tilt. J. Appl. Physiol. 103, 1143-1149. (doi:10.1152/japplphysiol.00293.2007)
70. Robbe, H. W., Mulder, L. J., Rüddel, H., Langewitz, W. A., Veldman, J. B. and Mulder, G. 1987 Assessment of baroreceptor reflex sensitivity by means of spectral analysis. Hypertension 10, 538-543.
71. Sagawa, K., Kumada, M. and Shoukas, A. 1973 A systems approach to baroreceptor reflex control of the circulation. Aust. J. Exp. Biol. Med. Sci. 51, 33-52. (doi:10.1038/icb.1973.3)
72. Saul, J. P., Berger, R. D., Chen, M. H. and Cohen, R. J. 1989 Transfer function analysis of autonomic regulation. II. Respiratory sinus arrhythmia. Am. J. Physiol. 256, H153-H161.
73. Scher, A. M. and Young, A. C. 1963 Servoanalysis of carotid sinus reflex effects on peripheral resistance. Circ. Res. 12, 152-162.
74. Schiff, S. J., So, P., Chang, T., Burke, R. and Sauer, T. 1996 Detecting dynamical interdependence and generalized synchrony through mutual prediction in a neural ensemble. Phys. Rev. E 54, 6708-6724. (doi:10.1103/PhysRevE.54.6708)
75. Schmidt, H., Francis, D. P., Rauchhaus, M., Werdan, K. and Piepoli, M. F. 2005 Chemo-and ergoreflexes in health, disease and ageing. Int. J. Cardiol. 98, 369-378. (doi:10.1016/j.ijcard. 2004.01.002)
76. Schreiber, T. and Schmitz, A. 1996 Improved surrogate data for nonlinearity tests. Phys. Rev. Lett. 77, 635-638. (doi:10.1103/PhysRevLett.77.635)
77. Shoukas, A. A. and Sagawa, K. 1973 Control of total systemic vascular capacity by the carotid sinus baroreceptor reflex. Circ. Res. 33, 22-33.
78. Smyth, H. S., Sleight, P. and Pickering, G. W. 1969 Reflex regulation of arterial pressure during sleep in man. A quantitative method of assessing baroreflex sensitivity. Circ. Res. 24, 109-121.
79. Stauss, H. M., Anderson, E. A., Haynes, W. G. and Kregel, K. C. 1998 Frequency response characteristics of sympathetically mediated vasomotor waves in humans. Am. J. Physiol. 274, H1277-H1283.
80. Stefanovska, A., Bracic, M. and Kvernmo, H. D. 1999 Wavelet analysis of oscillations in the peripheral blood circulation measured by Laser Doppler technique. IEEE Trans. Biomed. Eng. 46, 1230-1239. (doi:10.1109/10.790500)
81. Swamy, G., Ling, Q., Li, T. and Mukkamala, R. 2007 Blind identification of the aortic pressure waveform from multiple peripheral artery pressure waveforms. Am. J. Physiol. Heart Circ. 292, H2257-H2264. (doi:10.1152/ajpheart.01159.2006)
82. Topor, Z. L., Pawlicki, M. and Remmers, J. E. 2004 A computational model of the human respiratory control system: responses to hypoxia and hypercapnia. Ann. Biomed. Eng. 32, 1530-1545. (doi:10.1114/B:ABME.0000049037. 65204.4c)
83. van de Borne, P., Montano, N., Pagani, M., Oren, R. and Somers, V. K. 1997 Absence of lowfrequency variability of sympathetic nerve activity in severe heart failure. Circulation 95, 1449-1454.
84. Wiesenfeldt, M., Parlitz, U. and Lauterborn, W. 2001 Mixed state analysis of multivariate time series. Int. J. Bifurcations Chaos 11, 2217-2226. (doi:10.1142/S0218127401003231)
85. Xiao, X., Mukkamala, R., Sheynberg, N., Grenon, S. M., Ehrman, M. D., Mullen, T. J., Ramsdell, C. D., Williams, G. H. and Cohen, R. J. 2004 Effects of simulated microgravity on closed-loop cardiovascular regulation and orthostatic intolerance: analysis by means of system identification. J. Appl. Physiol. 96, 489-497. (doi:10.1152/japplphysiol.00602.2003)
86. Xiao, X., Mullen, T. J. and Mukkamala, R. 2005 System identification: a multi-signal approach for probing neural cardiovascular regulation. Physiol. Measure. 26, R41-R71. (doi:10.1088/0967-3334/26/3/R01)