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Journal Biomedical Radioelectronics №3 for 2014 г.
Article in number:
Hurst parameter and fractal dimension of series cardio intervals
Keywords:
photoplethysmogram
cardio intervals
Hurst parameter
rescaled range method
persistence
fractal analysis
Authors:
M.S. Zakharov - Head of Department of CJSC «Sberbank - Technology»
S.M. Zakharov - Dr.Sc. (Phys.-Math.), Professor, Head Research Scientist, OAO Institute of Electronic Control Computers of the I.S. Brooke's (INEUM)
S.M. Zakharov - Dr.Sc. (Phys.-Math.), Professor, Head Research Scientist, OAO Institute of Electronic Control Computers of the I.S. Brooke's (INEUM)
Abstract:
The paper presents the research for healthy people of the Hurst exponent of time series of cardio intervals obtained by photoplethysmography. Photoplethysmograms were taken from a patient's finger using the device "Biomouse" representing the optoelectronic pair installed into a computer mouse. In the calculations we used the method of Hurst rescaled range. The number of initial data was chosen to be one hundred (equivalent to approximately 1.5 minute recording) and three hundred (five minute recording). Hurst exponent calculated using the least squares of the empirical dependence rescaled range as a function of the number of cardio intervals on a double logarithmic scale. The obtained values of the Hurst exponent and of the fractal dimension suggest persistence time series of cardio intervals.
Pages: 51-54
References
- Hurst H.E. Long-term storage capacity of reservoirs // American society of civil engineers. 1951. V.116. P. 770-898.
- Chumak O.V. E'ntropiya i fraktaly' v analize danny'x. M.-Izhevsk: NIC Regulyarnaya i xaoticheskaya dinamika. 2011. 163 s.
- Feder E. Fraktaly'. M.: Mir. 1991. 254 s.
- Mandel'brot B.B. Fraktal'naya geometriya prirody'. M.: IKI. 2002. 656 s.
- Kronover R. Fraktaly' i xaos v dinamicheskix sistemax. M.: Postmarket. 2000. 352 s.
- Yeragani V.K., Srinivasan K., Vempati S. et al. Fractal dimension of heart rate time series: an effective measure of autonomic function // J. Appl. Physiology. 1993. V. 75(6). P. 2429-2438.
- Zhang D., Tan G., Hao J. Fractal random walk and classification of ECG signal // Int. journ. Hybrid inform. Technology. 2008. V.1(1). P.1-10.
- Majorov O.Ju., Fenchenko V.N. Primenenie lokal'nogo indeksa fraktal'nosti dlya analiza korotkix ryadov R‑R intervalov pri issledovanii variabel'nosti serdechnogo ritma // Klinicheskaya informatika i telemediczina. 2010. T. 6(7). S. 6-12.
- Antipov O.I., Nagornaya M.Ju. Pokazatel' Xyorsta bioe'lektricheskix signalov // Infokommunikaczionny'e texnologii. 2011. T. 9(1). S. 75-77.