Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series
The healthy heartbeat is traditionally thought to be regulated according to the classical principle of homeostasis whereby physiologic systems operate to reduce variability and achieve an equilibrium-...
The healthy heartbeat is traditionally thought to be regulated according to the classical principle of homeostasis whereby physiologic systems operate to reduce variability and achieve an equilibrium-...
Nonlinear time series analysis of electrocardiograms
In recent years there has been an increasing number of papers in the literature, applying the methods and techniques of Nonlinear Dynamics to the time series of electrical activity in normal electroca...
In recent years there has been an increasing number of papers in the literature, applying the methods and techniques of Nonlinear Dynamics to the time series of electrical activity in normal electroca...
Quantitative analysis of heart rate variability
Chaos 5, 88 (1995); doi:10.1063/1.166090
Issue Date: March 1995
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In the modern industrialized countries every year several hundred thousands of people die due to sudden cardiac death. The individual risk for this sudden cardiac death cannot be defined precisely by common available, noninvasive diagnostic tools like Holter monitoring, highly amplified ECG and traditional linear analysis of heart rate variability (HRV). Therefore, we apply some rather unconventional methods of nonlinear dynamics to analyze the HRV. Especially, some complexity measures that are based on symbolic dynamics as well as a new measure, the renormalized entropy, detect some abnormalities in the HRV of several patients who have been classified in the low risk group by traditional methods. A combination of these complexity measures with the parameters in the frequency domain seems to be a promising way to get a more precise definition of the individual risk. These findings have to be validated by a representative number of patients. ©1995 American Institute of Physics.
| History: | Received 19 May 1994; accepted 8 August 1994 |
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http://link.aip.org/link/?CHAOEH/5/88/1 |
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Connotea
CiteULike
del.icio.us
BibSonomy
KEYWORDS and PACS
HEART,
DISEASES,
DIAGNOSTIC TECHNIQUES,
DYNAMICAL SYSTEMS,
ENTROPY,
FREQUENCY DOMAIN ANALYSIS,
MEDICINE,
NERVE CELLS,
AUTONOMIC NERVOUS SYSTEM,
ELECTROENCEPHALOGRAPHY
- 87.22.Jb
Biophysics and medical physics Physics of cellular and physiological processes Muscle contraction, nerve conduction, synaptic transmission, memorization, and other neurophysiological processes (excluding perception processes and speech) - 05.45.+b
Statistical physics and thermodynamics Theory and models of chaotic systems - 87.10.+e
Biophysics and medical physics General, theoretical, and mathematical biophysics (including logic of biosystems, quantum biology, and relevant aspects of thermodynamics, information theory, cybernetics, and bionics) - YEAR: 1995
PUBLICATION DATA
1054-1500 (print)
1089-7682 (online)
AIP
REFERENCES (18)
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