350 rub
Journal Technologies of Living Systems №6 for 2010 г.
Article in number:
CARDIO CYCLE STRUCTURE PARAMETERS AND THEIR MATHEMATICAL RELATIONSHIP (UNDER A LOAD)
Keywords: "Caterpillar"-SSA singular status analysis trend selection selection of periodical components identification of time series components periodogram
Authors:
N.V. Savina, A.G. Goncharova, L. Kh. Bragin, A.M. Nosovsky, A.E. Severin
Abstract:
Curves obtained during the simultaneous recording of contractions of different parts of the heart and the electrocardiogram allow to establish relationships between the cardiac cycle phases and the accompanying electrical phenomena. The available literature lacks any serious analysis of the situational periodic increase and decrease of ECG R-wave amplitude which, in general terms, reflects the energy potential of the myocardium. The study of 150 men and women-s dynamics of R-wave amplitude was conducted during the expertise rearing to 5000 m altitude. Also, biochemical blood values taken before and after the rearings were compared. The trend and the periodic component were selected with the «Caterpillar»-SSA method. Changes in R-wave changes depend on the reference biochemical blood values; thus, it is possible to suggest the role of biological sub-stratum in forming periodical rhythm of ECG R-wave amplitude change.
Pages: 29-33
References
  1. Сорока Э. М. Структурная гармония систем. Минск: Наука и техника. 1984. С. 264.
  2. Цветков В. Д. Системная организация деятельности сердца млекопитающих. Пущино: ПНЦ РАН. 1993. С. 134.
  3. Урманцев Ю. А. Симметрия природы и природа симметрии. М.: Мысль. 1974. С. 229.
  4. Александров Ф. И., Голяндина Н. Э. Выбор параметров при автоматическом выделении трендовых и периодических составляющих временного ряда в рамках подхода «Гусеница»
    SSA. СПб.: Петербургский гос. ун-т. 2005.
  5. Golyandina, N., Nekrutkin, V., Zhigljavsky, A., Analysis of Time Series Structure: SSA and Related Techniques. BocaRaton: Chapman& Hall/CRC, 2001.
  6. Elsner, J., Tsonis, A., Singular Spectrum Analysis. A New Tool in Time Series Analysis. New York: Plenum Press. 1996.
  7. Vautard, R., Yiou, P., Chil, M., Singular-spectrum analysis: A toolkit for short, noisy chaotic signals // Physica D. 1992. V. 58. P. 95-126.