DISCRIMINATION BY MULTIFRACTAL SPECTRUM ESTIMATION OF HUMAN HEARTBEAT INTERVAL DYNAMICS
| Autor: | Oliver Stiedl, B. Kerman, Michael Meyer |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Heartbeat
Quantitative Biology::Tissues and Organs Applied Mathematics Physics::Medical Physics Spectral density estimation Multifractal system medicine.disease Fractal Modeling and Simulation Heart failure Heart rate Statistics medicine Heart rate variability Large deviations theory Geometry and Topology Statistical physics Mathematics |
| Zdroj: | Fractals. 11:195-204 |
| ISSN: | 1793-6543 0218-348X |
| DOI: | 10.1142/s0218348x03002063 |
| Popis: | The complexity of the cardiac rhythm is demonstrated to exhibit self-affine multifractal variability. The dynamics of heartbeat interval time series was analyzed by application of the multifractal formalism based on the Cramer theory of large deviations. The continuous multifractal large deviation spectrum uncovers the nonlinear fractal properties in the dynamics of heart rate and presents a useful diagnostic framework for discrimination and classification of patients with cardiac disease, e.g. congestive heart failure. The characteristic multifractal spectral pattern in heart transplant recipients or chronic heart disease highlights the importance of neuroautonomic control mechanisms regulating the fractal dynamics of the cardiac rhythm. |
| Databáze: | OpenAIRE |
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