Linear Modelling of Cardiovascular Parameter Dynamics during Stress-Test in Horses
This paper deals with a processing of ECG signal parameters and modelling the parameter dynamics during the stresstest in horses. The standard Box-Jenkins methodology was applied for the linear model design. The order of the AR model (equal to 6) was estimated according to properties of autocorrelation and partial autocorrelation functions of the ECG parameter time series. Further, frequency responses of the model systems as well as distribution of their poles and zeros were determined for different stages of the stress test examination. The preliminary examination of the computed data and their dynamics indicates that they can carry useful information for evaluation the health and fitness conditions of the examined horses. All the computational procedures were implemented in MATLAB®.
Keywords:
Stress-test examination in horses, ECG signal parameters, stationary process, transfer function, AR model
Autoři:
Terézia Hodásová 1,2; Jiří Holčík 1,3
Působiště autorů:
Institute of Biostatistics and Analyses, Masaryk University, Brno, Czech Republic
1; Masaryk University, Brno, Czech Republic
Department of Mathematics and Statistics of the Faculty of Science
2; Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia
3
Vyšlo v časopise:
Lékař a technika - Clinician and Technology No. 2, 2012, 42, 15-18
Kategorie:
Conference YBERC 2012
Souhrn
This paper deals with a processing of ECG signal parameters and modelling the parameter dynamics during the stresstest in horses. The standard Box-Jenkins methodology was applied for the linear model design. The order of the AR model (equal to 6) was estimated according to properties of autocorrelation and partial autocorrelation functions of the ECG parameter time series. Further, frequency responses of the model systems as well as distribution of their poles and zeros were determined for different stages of the stress test examination. The preliminary examination of the computed data and their dynamics indicates that they can carry useful information for evaluation the health and fitness conditions of the examined horses. All the computational procedures were implemented in MATLAB®.
Keywords:
Stress-test examination in horses, ECG signal parameters, stationary process, transfer function, AR model
Zdroje
[1] Svačinová J., Evaluation of Stress Test ECG Signal Parameters in Horses. [Diploma Thesis], Brno, Masaryk University, 2011. (in Czech)
[2] Box, G. E., Jenkins, G. M., Reinsel, G. C. : Time Series Analysis Forecasting and Control. 4th. ed., Hoboken, New Jersey: John Wiley & Sons, Inc. 2008. ISBN 978-0-470-27284-8.
[3] Forbelská, M.: Stochastic modelling of one-dimensional time series. 1st ISBN 978-80-210-4812-6. ed., Brno: Masaryk University, 2009. (in Czech)
[4] Bitschnau, C. et al.: Performance parameters and post excersice heart rate recovery in Warmblood sports horses of different performance level. Equine veterinary journal 42, 2010. 17-22
[5] Harris, F. J.: On the use of windows for harmonic analysis with the discrete Fourier transform. IEEE vol. 66, 1978. 51- 83
Štítky
BiomedicínaČlánok vyšiel v časopise
Lékař a technika
2012 Číslo 2
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