Statistical coding and decoding of heartbeat intervals

PLoS ONE

Volumn 6, Issue 6, 2011, Pages

  Lucena, Fausto ^a,b   Barros, Allan Kardec ^b,c   Príncipe, José C ^d   Ohnishi, Noboru ^a  

^a NAGOYA UNIVERSITY   (Japan)

^b FEDERAL UNIVERSITY OF MARANHÃO   (Brazil)

^c National Agency of Petroleum   (Brazil)

^d J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADRENERGIC STIMULATION; ARTICLE; AUTONOMIC NERVOUS SYSTEM; AUTOREGULATION; CHOLINERGIC STIMULATION; CONTROLLED STUDY; HEART BEAT; HEART INNERVATION; HEART RHYTHM; NERVE POTENTIAL; NEUROMODULATION; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; ADULT; AGED; ANIMAL; BIOLOGICAL MODEL; ELECTROCARDIOGRAPHY; FEMALE; HEART RATE; HUMAN; MALE; MIDDLE AGED; PHYSIOLOGY; RABBIT; STATISTICAL MODEL; TIME;

ADULT; AGED; ANIMALS; ELECTROCARDIOGRAPHY; FEMALE; HEART RATE; HUMANS; MALE; MIDDLE AGED; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; RABBITS; TIME FACTORS;

EID: 79958271768     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0020227     Document Type: Article

References (76)

1. Field DJ, (1987) Relations between the statistics of natural images and the response proprieties of cortical cells. J Opt Soc Am A 4: 2379-2394.
2. Linsker R, (1990) Perceptual neural organization: some approches based on network models and information-theory. Annual Review of Neuroscience 13: 257-281.
3. Laurent G, (1999) A systems perspective on early olfactory coding. Science 286: 723-8.
4. Simoncelli EP, Olshausen BA, (2001) Natural image statistics and neural representation. Annu Rev Neurosci 24: 1193-216.
5. Olshausen BA, Field DJ, (1996) Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381: 607-609.
6. Lewicki MS, (2002) Efficient coding of natural sounds. Nat Neurosci 5: 356-363.
7. Kostal L, Lansky P, Rospars JP, (2008) Efficient olfactory coding in the pheromone receptor neuron of a moth. PLoS Comput Biol 4: e1000053.
8. Schwartz O, Simoncelli EP, (2001) Natural signal statistics and sensory gain control. Nature Neuroscience 4: 819-825.
9. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996) Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Eur Heart J 17: 354-381.
10. Jalife J, (1984) Mutual entrainment and electrical coupling as mechanisms for synchronous firing of rabbit sino-atrial pace-maker cells. J Physiol 356: 221-43.
11. Berger RD, Saul JP, Cohen RJ, (1989) Transfer function analysis of autonomic regulation. I. Canine atrial rate response. Am J Physiol 256: H142-H152.
12. Kawada T, Sugimachi M, Shishido T, Miyano H, Sato T, et al. (1999) Simultaneous identification of the static and dynamic vagosympathetic interactions in the regulating heart rate. Am J Physiol Regul Integr Comp Physiol 276: R782-R789.
13. Akselrod S, Gordon D, Ubel F, Shannon D, Berger A, et al. (1981) Power spectrum analysis of heart rate fluctuations: a quantitative probe of beat-to-beat cardiovascular control. Science 213: 220-222.
14. Glass L, (2001) Synchronization and rhythmic processes in physiology. Nature 410: 277-84.
15. Levy MN, (1971) Sympathetic-parasympathetic interactions in the heart. Circ Res 29: 437-45.
16. Faes L, Chon KH, Nollo G, (2009) A method for the time-varying nonlinear prediction of complex nonstationary biomedical signals. IEEE Trans Biomed Eng 56: 205-9.
17. Chen Z, Brown EN, Barbieri R, (2010) Characterizing nonlinear heartbeat dynamics within a point process framework. IEEE Trans Biomed Eng 57: 1335-47.
18. Barbieri R, Matten EC, Alabi AA, Brown EN, (2005) A point-process model of human heartbeat intervals: new definitions of heart rate and heart rate variability. Am J Physiol Heart Circ Physiol 288: H424-35.
19. Attneave F, (1954) Some informational aspects of visual perception. Psychol Rev 61: 183-93.
20. Barlow HB, (1961) Possible principles underlying the transformation of sensory messages. Rosemblum MG, editor, Sensory Communication, Cambridge, MA: MIT Press pp. 217-234.
21. van Hateren JH, (1992) A theory of maximizing sensory information. Bio Cybern 68: 23-29.
22. Laughlin S, (1981) A simple coding procedure enhances a neuron's information capacity. Z Naturforsch 36 c: 910-912.
23. Machens CK, Gollisch T, Kolesnikova O, Herz AVM, (2005) Testing the efficiency of sensory coding with optimal stimulus ensembles. Neuron 47: 447-56.
24. Cover TM, Thomas JA, (2006) Elements of Information Theory. Wiley-Interscience.
25. Rieke F, Bodnar DA, Bialek W, (1995) Naturalistic stimuli increase the rate and efficiency of information transmission by primary auditory afferents. Proc Biol Sci 262: 259-65.
26. Malliani A, (1999) The pattern of sympathovagal balance explored in the frequency domain. News Physiol Sci 14: 111-117.
27. Massimini M, Porta A, Mariotti M, Malliani A, Montano N, (2000) Heart rate variability is encoded in the spontaneous discharge of thalamic somatosensory neurones in cat. Journal of Physiology 526: 387-396.
28. Berntson GG, Cacioppo JT, (1999) Heart rate variability: A neuroscientific perspective for further studies. Cardiac Electrophysiology Review 3: 279-282.
29. Malliani A, Pagani M, Lombardi F, Cerutti S, (1991) Cardiovascular neural regulation explored in the frequency domain. Circulation 84: 482-92.
30. Malliani A, Pagani M, Montano N, Mela GS, (1998) Sympathovagal balance: a reappraisal. Circulation 98: 2640-3.
31. Montano N, Porta A, Malliani A, (2001) Evidence for central organization of cadiovascular rhythms. Ann N Y Acad Sci 940: 299-306.
32. Atick JJ, Redlich AN, (1999) Towards a theory of early visual processing. Neural Comput 2: 308-320.
33. Stein RB, Gossen ER, Jones KE, (2005) Neuronal variability: noise or part of the signal? Nat Rev Neurosci 6: 389-97.
34. Comon P, (1994) Independent Component Analysis, a new concept? Signal Processing, Elsevier 36: 287-314.
35. Hyvärinen A, Karhunen J, Oja E, (2001) Independent component analysis. John Wiley & Sons.
36. van Hateren JH, van der Schaaf A, (1998) Independent component filters of natural images compared with simple cells in primary visual cortex. Proc Biol Sci 265: 359-66.
37. Smith EC, Lewicki MS, (2006) Efficient auditoy coding. Nature 439: 978-982.
38. Gabor D, (1946) Theory of comunication. J IEEE 93: 429-457.
39. Jackson JC, Windmill JFC, Pook VG, Robert D, (2009) Synchrony through twice-frequency forcing for sensitive and selective auditory processing. Proc Natl Acad Sci U S A 106: 10177-82.
40. Ashmore JF, (1983) Frequency tuning in a frog vestibular organ. Nature 304: 536-8.
41. Crawford AC, Fettiplace R, (1981) An electrical tuning mechanism in turtle cochlear hair cells. J Physiol 312: 377-412.
42. Berntson GG, Cacioppo JT, Quingley KS, (1993) Respiratory sinus arrhythmia: Autonomic origins, physiological mechanisms, and psychophysiological implications. Psychophysiology 30: 183-196.
43. Bernardi L, Keller F, Sanders M, Reddy PS, Griffith B, et al. (1989) Respiratory sinus arrhythmia in the denervated human heart. J Appl Physiol 67: 1447-55.
44. Durka PJ, Ircha D, Blinowska KJ, (2001) Stochastic time-frequency dictionaries for matching pursuit. IEEE Transactions on Signal Processing 49: 507-510.
45. Mallat S, Zhang Z, (1993) Matching pursuit with time-frequency dictionaries. IEEE Transactions on Signal Processing 41: 3397-3415.
46. Kobayashi M, Musha T, (1982) 1/f fluctuation of heartbeat period. IEEE Trans Biomed Eng pp. 456-457.
47. Haag J, Borst A, (1998) Active membrane properties and signal encoding in graded potential neurons. J Neurosci 18: 7972-7986.
48. Schultz SR, (2007) Signal-to-noise ratio in neuroscience. Scholarpedia 2: 2046.
49. Bell A, Sejnowski TJ, (1997) The 'independent components' of natural scenes are edge filters. Vision Research 37: 3327-3338.
50. Field DJ, (1998) Visual coding, redundancy, and 'feature detection'. Arbib MA, editor, The Handbook of Brain Theory and Neural Networks MIT Press.
51. Chakravarthy SV, Ghosh J, (1997) On hebbian-like adaptation in heart muscle: a proposal for 'cardiac memory'. Biol Cybern 76: 207-15.
52. Ivanov PC, Rosemblum MG, Peng CK, Mietus J, Havlin S, et al. (1996) Scaling behaviour of heartbeat intervals obtained by wavelet-based time-series analysis. Nature 383: 323-327.
53. Srinivasan MV, Laughlin SB, Dubs A, (1982) Predictive coding: a fresh view of inhibition in the retina. Proc R Soc Lond B Biol Sci 216: 427-59.
54. Faisal AA, Selen LPJ, Wolpert DM, (2008) Noise in the nervous system. Nat Rev Neurosci 9: 292-303.
55. Chorvat D Jr, Chorvatova A, (2008) Cardiac cell: a biological laser? Biosystems 92: 49-60.
56. Hidaka I, Nozaki D, Yamamoto Y, (2000) Functional stochastic resonance in the human brain: noise induced sensitization of baroreflex system. Phys Rev Lett 85: 3740-3.
57. Hidaka I, Ando S, Shigematsu H, Sakai K, Setoguchi S, et al. (2001) Noise-enhanced heart rate and sympathetic nerve responses to oscillatory lower body negative pressure in humans. J Neurophysiol 86: 559-64.
58. Laughlin SB, van Steveninck RRR, Anderson JC, (1998) The matabolic cost of neural information. Nature Neuroscience 1: 36-41.
59. Bell AJ, Sejnowski TJ, (1996) Learning the higher-order structure of a natural sound. Network 7: 261-7.
60. Furth PM, Andreou AG, (1995) A design framework for low power analog filter banks. IEEE Transactions on Circuits and Systems- 1: Fundamental Theory and Applications 42: 966-971.
61. Furth PM, (1995) On the design of optimal continuous-time filter bank in subthreshold CMOS. Ph.D. thesis, Johns Hopkins University, Baltimore.
62. Yu Y, Romero R, Lee TS, (2005) Preference of sensory neural coding for 1/f signals. Phys Rev Lett 94: 108103.
63. Lesica NA, Grothe B, (2008) Efficient temporal processing of naturalistic sounds. PLoS One 3: e1655.
64. Mokrane A, LeBlanc AR, Nadeu R, (1995) Transfer function analysis of vagal control of the heart rate during syncronized vagal stimulation. Am J Physiol Heart Circ Physiol 269: H1931-1940.
65. Kawada T, Ikeda Y, Suguimachi M, Shishido T, Kawaguchi O, et al. (1996) Bidirectional augmentation of the heart rate regulation by autonomic nervous system in rabbits. Am J Physiol Heart Circ Physiol 271: H288-H295.
66. Kawada T, Sugimachi M, Shishido T, Miyano H, Ikeda Y, et al. (1997) Dynamic vagosympathetic interaction augments heart rate response irrespective of stimulation patterns. Am J Physiol 272: H2180-7.
67. Jacobs RA, Jordan MI, Nowlan SJ, Hinton GE, (1991) Adaptive mixtures of local experts. Neural Computing 3: 79-87.
68. Alexander B, Theunissen FE, (1999) Information theory and neural coding. Nature 2: 974-957.
69. von Borell E, Langbein J, Després G, Hansen S, Leterrier C, et al. (2007) Heart rate variability as a measure of autonomic regulation of cardiac activity for assessing stress and welfare in farm animals - a review. Physiol Behav 92: 293-316.
70. Boyett MR, Honjo H, Kodama I, (2000) The sinoatrial node, a heterogeneous pacemaker structure. Cardiovasc Res 47: 658-87.
71. Davies ME, James CJ, (2007) Source separation using single channel ica. Signal Processing.
72. KoldovskýZ, Tichavský P, Oja E, (2006) Efficient variant of algorithm fastica for independent component analysis attaining the cramér-rao lower bound. IEEE Trans Neural Netw 17: 1265-77.
73. Rao S, Martins AM, Principe JC, (2008) Mean shift: An information theoretic perspective. Pattern Recognition Letters 30: 222-230.
74. Goldberger AL, Amaral LA, Glass L, Hausdorff JM, Ivanov PC, et al. (2000) Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals. Circulation 101.
75. Wessel N, Voss A, Malberg H, Ziehmann C, Voss HU, et al. (2000) Nonlinear analysis of complex phenomena in cardiological data. Herzschr Elektrophys 11: 159-173.
76. O'neill JC, Williams WJ, (1997) Shift covariant time-frequency distributions of discrete signals. IEEE Trans on Signal Processing 47: 133-150.