Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction.

By H. Huikuri, T. Mäkikallio, Chung-Kang Peng, Ary L. Goldberger, U. Hintze, M. Møller. Circulation, 2000

674 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Dynamics of stability: the physiologic basis of functional health and frailty. (2002, background): “Huikuri and colleagues (33) 446 MI pts w/decreased LV fxn RR interval (24 ECG) DFA Mortality 1.”
Heart Rate Variability – A Historical Perspective (2011, methodology): “For example, the heart rate frequency (f) spectrum exhibits an inverse power law relationship (1/f; Saul et al., 1987; Bigger et al., 1996; Huikuri et al., 1998, 2000; Mäkikallio et al., 1999a,b; Pikkujämsä et al., 1999) that is a defining characteristic of fractal regulatory networks…”
Basic notions of heart rate variability and its clinical applicability. (2009, background): “Índices de VFC têm sido também utilizados como ferramenta de prognóstico para mortalidade entre pacientes com infarto agudo do miocárdio e função sistólica ventricular esquerda deprimida [85,86] e na caracterização de um grande número de condições mórbidas, sugerindo que a Variabilidade da Frequenci”
Heart rate variability: a review (2006, neutral): “random walks applied to nonstationary signals [55].”
Methods derived from nonlinear dynamics for analysing heart rate variability (2009, methodology): “0.75, Huikuri et al. 2000).”