2010
DOI: 10.1016/j.ijcard.2009.10.040
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The biotic pattern of heartbeat intervals

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Cited by 9 publications
(7 citation statements)
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“…16, 2 of the bifurcation diagram is shown with respect to changing parameter in the interval ∈ [4. 6,2 ]. As the figure shows, there are at least two windows in the small region.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…16, 2 of the bifurcation diagram is shown with respect to changing parameter in the interval ∈ [4. 6,2 ]. As the figure shows, there are at least two windows in the small region.…”
Section: Discussionmentioning
confidence: 99%
“…Bios is a rare type of organization containing the ability of creation and physiological regulation [2,27]. It is proposed as a mathematical pattern that is a variation of chaos and identified in heartbeat intervals [1,6,18]. The process equation, which is shown in Eq.…”
Section: Behaviors Of Process Equationmentioning
confidence: 99%
“…We first identified Bios as a distinct pattern when studying heartbeat series; this led us to develop analytic methods that demonstrate causality and creativity in empirical processes. Bios is commonly found in natural and human processes: quantum processes [7], the expansion of galaxies and quasars in three surveys [8,9,10] gravitational waves [11], cosmic microwave background radiation [10], DNA [5], physiological processes [5,[12][13][14][15][16][17], animal populations [18] and human populations [5], economic time series [19][20][21] and the prime numbers [22]. Levy et al [23] have already demonstrated Bios in several musical scores; we have expanded this work in this and other publications [24].…”
Section: Introductionmentioning
confidence: 99%
“…The empirical studies here reported involve: (1) The demonstration of complex patterns in biological, economic and social processes that display features of creativity (novelty, diversification and temporal complexity) [10][11][12][13] and causality. To reveal creative features in social processes involves (a) the analysis of change and hence of time series; statistical analysis at one period of time that can only reveal static features: (b) their analysis with embedding methods that examine both simple and complex levels of variation; and (c) the comparison of the results obtained with those observed in randomized copies of the data and with causal and stochastic mathematical models.…”
Section: Introductionmentioning
confidence: 99%