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Biotic Patterns of Heart Rate Variation


The above figure compares wavelet plots, recurrence plots and embedding plots of time series of heartbeat intervals, of chaotic and biotic patterns generated with the process equation. These and other techniques show that the pattern of heart rate variation is biotic rather than chaotic.

Heart rate variation, a hallmark of cardiac health, appears to be random or chaotic. However, nonlinear dynamic analysis reveals distinct patterns in the apparently erratic series of heartbeat intervals (RRI: R to R intervals in the electrocardiogram) of healthy subjects. Similar patterns, that we call biotic, can be generated by the process equation A
t+1 = At + g sinAt and variants such as At+1 = At + g sinAt-1. Complement plots reveal a regular pattern of concentric rings in RRI series and in integer biotic series, absent in chaotic or random series. Recurrence plots of RRIs and of biotic series show episodic patterns ("complexes"), while chaotic series present stable, uniform patterns. In RRI series and in computer-generated bios, recurrence rate is lower than observed with randomized copies of the series; this feature is an operational definition of novelty, which is absent in most chaotic series. RRI series and computer-generated biotic series resemble 1/f noise in wavelet plot patterns and low Hurst exponents (indicating anti-persistence). Bios represents a new and distinct class of patterns that meets the definition of chaos, and adds features of novelty, division in time-limited complexes in recurrence and wavelet plots, and (for integer data) ring patterns in complement plots. RRI series display a biotic pattern approximated by equations that model bipolar feedback.

Complement plots of a series of 8000 RRI from a healthy 27 y/o woman (top). X axis: cosine of RRI; Y axis: sine of RRI. Bottom: complement plots of computer generated series scaled to integer values within the range obtaining in RRI series: 1/f noise, biotic pattern generated by the process equation with delay At+1 = At + g * sinAt-1 for g = 3.1, and chaotic and biotic series generated by the process equation At+1 = At + g * sinAt for g 3.7 and 4.7 respectively.

References


Carlson-Sabelli L, Sabelli HC, Zbilut J, Patel M, Messer J, Walthall K, Tom C, Fink P, Sugerman A, Zdanovics O. 1994. How the heart informs about the brain. A process analysis of the electrocardiogram.
Cybernetics and Systems`94. 2: 1031-1038, R. Trappl (Ed.), World Scientific Publ. Company, Singapore.

Carlson-Sabelli L, Sabelli HC, Zbilut J, Messer J, Diez-Martin J, Walthall K, Tom C, Patel M, Zdanovics O, Fink P, Sugerman A. 1994. "Cardiac patterns of emotions demonstrated by the process method: Psychotic patterns." New Systems Thinking and Action for a New Century:
Proc. International Systems Society 38th Annual Mtg., B. Brady and L. Peeno (Eds.), Pacific Grove, CA, pp. 0419-0430.

Sabelli HC, Carlson-Sabelli L, Patel M, Zbilut J, Messer J, and Walthall K. 1995. Psychocardiological portraits: A clinical application of process theory. In
Chaos theory in Psychology, F. D. Abraham and A. R. Gilgen (Eds). Greenwood Publishing Group, Inc., Westport, CT. pp 107-125.

Sabelli, H., Carlson-Sabelli, L., Levy, A., Patel, M. 1995. Anger, fear, depression and crime: physiological and psychological studies using the process method.
Chaos Theory in Psychology and the Life Sciences, edited by R. Robertson and A. Combs. Mahwah, New Jersey: Lawrence Erlbaum, pp 65-88.

Carlson-Sabelli L., Sabelli HC, Patel, M, Messer, J, Zbilut, J., Sugerman, A., Walthall K., Tom, C. and Zdanovics, O. 1995. Electropsychocardiography. Illustrating the application of process methods to comprehensive patient evaluation.
Complexity and Chaos in Nursing 2: 16-24.

Kauffman, L. and Sabelli, H. 1998. The Process equation.
Cybernetics and Systems 29 (4): 345-362

Sabelli , H. and L. Kauffman 1999. The Process Equation: Formulating And Testing The Process Theory Of Systems.
Cybernetics and Systems 30: 261-294.

Sabelli, H. Complement plots: analyzing opposites reveals Mandala-like patterns in human heart beats. International
Journal of General Systems (accepted for publication)


Prepared by Hector Sabelli
Date: August 1999

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Last update: October 24, 2006