Chronodiagnostic potentialities of the symbolic dynamics method
- Authors: Gurov Y.V.1, Zaguskin S.L.1, Gurov Y.V2, Zaguskin SL2
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Affiliations:
- Южный Федеральный университет
- Research Physical Institute of the South Federal University, Rostov-on-Don
- Issue: Vol 83, No 4 (2011)
- Pages: 23-26
- Section: Editorial
- URL: https://journals.rcsi.science/0040-3660/article/view/30822
- ID: 30822
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Full Text
Abstract
Material and methods. PhysyoNet base data on ECG heart rhythm for 24 hours were analysed by characteristics of the symbolic lines: size of vocabularies and entropic properties of symbol distribution in the lines. The following ECGs were analysed: 54 ECGs of healthy individuals with normal sinus rhythm aged 28.5-76 years; 44 ECGs of patients with congestive cardiac failure aged 34-79 years; 84 ECGs of patients with cardiac fibrillation aged 34-79 years; 19 ECGs of patients with sudden cardiac death syndrome aged 34-79 years.
Results. The index of variety of cardiac rhythm regulation is proposed which is effective not only for analysis of 24-h but also of 40-60 min rhythmograms.
Conclusion. The quantitative analysis of symbolic dynamics can be used for differential chronodiagnosis of different cardiac diseases. Application of words which vary by length allows examination of rhythms with different time scale, detection and comparison of hierarchical desynchronization.
About the authors
Yuriy Vladimirovich Gurov
Южный Федеральный университетаспирант лаб. хронобиологии НИИ физики ЮФУ; Южный Федеральный университет
Sergey L'vovich Zaguskin
Южный Федеральный университет
Email: 2000846@aaanet.ru
д-р биол. наук, акад МАЭН, зав. лаб. хронобиологии НИИ физики ЮФУ, тел.: 863-200-08-46; Южный Федеральный университет
Yu V Gurov
Research Physical Institute of the South Federal University, Rostov-on-DonResearch Physical Institute of the South Federal University, Rostov-on-Don
S L Zaguskin
Research Physical Institute of the South Federal University, Rostov-on-DonResearch Physical Institute of the South Federal University, Rostov-on-Don
References
- Kurths J., Voss A., Witt A. et al. Quantitative analysis of heart rate variability. Chaos 1995; 5 (1): 88-94.
- Yang Albert C.-C., Hseu S.-S., Yien H.-W. et al. Linguistic analysis of the human heartbeat using frequency and rank order statistics. Phys. Rev. Lett. 2003; 90 (10): 1-4.
- Goldberger A. L., Amaral L. A., Glass L. et al. Components of a new research resource for complex physiologic signals. Circulation 2000; 101 (23): 215-220.
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