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Physical Review Letters

Volumn 70, Issue 9, 1993, Pages 1343-1346

Long-range anticorrelations and non-Gaussian behavior of the heartbeat

(6) Peng, C K a,b,c Mietus, J a,b,c Hausdorff, J M a,b,c Havlin, S a,b,c Stanley, H E a,b,c Goldberger, A L a,b,c

a BOSTON UNIVERSITY (United States)

b BETH ISRAEL DEACONESS MEDICAL CENTER (United States)

c NATIONAL INSTITUTES OF HEALTH (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CONGESTIVE HEART FAILURE; ELECTROCARDIOGRAPHY; FORWARD HEART FAILURE; HEART DISEASE; HEART LEFT VENTRICLE FUNCTION; HEART RATE; HEMODYNAMICS; HUMAN; NASA DISCIPLINE CARDIOPULMONARY; NASA DISCIPLINE NUMBER 14-10; NON-NASA CENTER; NORMAL DISTRIBUTION; PATHOPHYSIOLOGY; PHYSIOLOGY; STATISTICAL ANALYSIS; TIME;

NASA DISCIPLINE CARDIOPULMONARY; NASA DISCIPLINE NUMBER 14-10; NON-NASA CENTER;

ADULT; CARDIAC OUTPUT, LOW; DATA INTERPRETATION, STATISTICAL; ELECTROCARDIOGRAPHY; HEART DISEASES; HEART FAILURE, CONGESTIVE; HEART RATE; HEMODYNAMICS; HUMAN; MIDDLE AGE; NORMAL DISTRIBUTION; SUPPORT, NON-U.S. GOV'T; SUPPORT, U.S. GOV'T, NON-P.H.S.; SUPPORT, U.S. GOV'T, P.H.S.; TIME FACTORS; VENTRICULAR DYSFUNCTION, LEFT;

EID: 0027572659 PISSN: 00319007 EISSN: None Source Type: Journal
DOI: 10.1103/PhysRevLett.70.1343 Document Type: Article

Times cited : (929)

References (21)

1
- 0000988841
- (1991) Phys. Rev. Lett. , vol.67 , pp. 2106
- Shlesinger, M.F.¹ West, B.J.²

2
- 84927491415
- L. S. Liebovitch, in ``Advanced Methods of Physiological Systems Modeling,'' edited by V. A. Marmarelis (Plenum, New York, to be published), Vol. 2;

3
- 0024616043
- (1989) Biophys. J. , vol.55 , pp. 373
- Liebovitch, L.S.¹

4
- 0025067397
- (1990) Sci. Am. , vol.262 , pp. 42
- Goldberger, A.L.¹ Rigney, D.R.² West, B.J.³

5
- 0023405306
- (1987) Yale J. Biol. Med. , vol.60 , pp. 421
- Goldberger, A.L.¹ West, B.J.²

6
- 0003729191
- Oxford Univ. Press, London
- (1980) The Study of Heart Rate Variability /
- Kitney, R.I.¹ Rompelman, O.²

7
- 0019827638
- (1981) Science , vol.213 , pp. 220
- Akselrod, S.¹ Gordon, D.² Ubel, F.A.³ Shannon, D.C.⁴ Barger, A.C.⁵ Cohen, R.J.⁶

8
- 0019999725
- (1982) IEEE Trans. Biomed. Eng. , vol.29 , pp. 456
- Kobayashi, M.¹ Musha, T.²

9
- 0024207280
- (1988) Experientia , vol.44 , pp. 983
- Goldberger, A.L.¹ Rigney, D.R.² Mietus, J.³ Antman, E.M.⁴ Greenwald, S.⁵

10
- 84927496782
- J. P. Saul, P. Albrecht, D. Berger, and R. J. Cohen, Computers in Cardiology (IEEE Computer Society Press, Washington, DC, 1987), pp. 419 422;

11
- 0000104229
- (1991) Chaos , vol.1 , pp. 251
- Kaplan, D.T.¹ Talajic, M.²

12
- 0003586464
- We have also measured the fluctuations by overline{|BL(n'+n)-BL(n')|2}1/2 and found similar results. For a more detailed discussion of this and other standard fluctuation measurements, see, Plenum, New York
- (1988) Fractals
- Feder, J.¹

13
- 84927472560
- Unlike the original time series B(n), I(n) is stationary /, i.e., the average and the variance are independent of the sampling position. We have verified this stationarity property experimentally by measuring the stability of the average and variance in a moving window. Although the nonstationarity property makes no difference for our calculation of F(n), it is important to study a stationary sequence for the correlation analysis. Another advantage of the stationarity property of I(n) is that the comparison of histograms between data from healthy and diseased subjects becomes feasible.

14
- 84927488113
- Théorie de l'Addition des Variables Aléatoires (Gauthier Villars, Paris, 1937). To find the best fit of our data with a Lévy stable distribution, we have followed the procedure described in
- (1991) Physica (Amsterdam) , vol.179 A , pp. 232
- Lévy, P.¹ Mantegna, R.N.²

15
- 0003610302
- Springer Verlag, New York, Vols. 1 and 2.
- (1987) Correlation Theory of Stationary and Related Random Functions
- Yaglom, A.M.¹

16
- 0000555231
- (1988) Phys. Rev. Lett. , vol.61 , pp. 1438
- Havlin, S.¹ Selinger, R.B.² Schwartz, M.³ Stanley, H.E.⁴ Bunde, A.⁵

17
- 84927464923
- The relation of β=1-2α is valid at the infinite length limit. For time series with finite length, we expect discrepancies between β and α.

18
- 37849005601
- for a detailed analytic and numerical discussion of the finite size effect on long range correlations. For example, we have simulated artificial correlated sequences (with a given exponent β) of finite length (corresponding to that of the interbeat time series studied here). For β=1 we expect α=0, but instead we find α=0.12 pm0.05 for the artificial sequences. Similarly, for β=0.5 we expect α=0.25 and find α=0.28 pm0.07. Another possible reason for the discrepancy is that a heartbeat time series is unlikely to represent ``perfect'' fractional Brownian motion.
- (1992) Phys. Rev. E (to be published), and Nature (London) , vol.356 , pp. 168
- Peng, C.¹

19
- 0026348707
- (1991) Am. J. Physiol. , vol.261 , pp. L361
- Weibel, E.R.¹

20
- 0002021870
- (1991) Physica (Amsterdam) , vol.53 D , pp. 71
- Bassingthwaighte, J.B.¹ Beyer, R.P.²

21
- 0000733534
- (1929) Physiol. Rev. , vol.9 , pp. 399
- Cannon, W.B.¹

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