Low dimensional model of heart rhythm dynamics as a tool for diagnosing the anaerobic threshold
- Institute of Physiology, Charite Humboldt-University at Berlin, Berlin, D-10117 (Germany); Regional. Cardio Center, Vladimir, (Russia)
- Vladimir State Technical University, 87, Gorki St., Vladimir, 600026 (Russia)
- Institute for Pure and Applied Physical Science University of California at San Diego, La Jolla, California 92093-0360 (United States)
- Space Research Institute of RAS, 84/32 Profsoyuznaja St., Moscow, 117810 (Russia)
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6364 (United States)
We report preliminary results on describing the dependence of the heart rhythm variability on the stress level by using qualitative, low dimensional models. The reconstruction of macroscopic heart models yielding cardio cycles (RR-intervals) duration was based on actual clinical data. Our results show that the coefficients of the low dimensional models are sensitive to metabolic changes. In particular, at the transition between aerobic and aerobic-anaerobic metabolism, there are pronounced extrema in the functional dependence of the coefficients on the stress level. This strong sensitivity can be used to design an easy indirect method for determining the anaerobic threshold. This method could replace costly and invasive traditional methods such as gas analysis and blood tests. {copyright} {ital 1997 American Institute of Physics.}
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 678703
- Report Number(s):
- CONF-970728-; ISSN 0094-243X; TRN: 9804M0218
- Journal Information:
- AIP Conference Proceedings, Vol. 411, Issue 1; Conference: International conference on applied nonlinear dynamics and stochastic systems near the millenium, San Diego, CA (United States), 7-11 Jul 1997; Other Information: PBD: May 1997
- Country of Publication:
- United States
- Language:
- English
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