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Complexity analysis of electrocardiographic signals

In: General Physiology and Biophysics, vol. 25, no. 2
I Neacsu - D Creanga - F Tufescu
Detaily:
Rok, strany: 2006, 161 - 176
O článku:
Two types of electrocardiographic data series were investigated using appropriate tests based on a selection of semi-quantitative analysis algorithms. Distribution histograms, power spectra, auto-correlation functions, state-space portraits, Lyapunov exponents and wavelet transformations were applied to electrocardiograms of normal and stressed subjects. Statistical analysis using the Student's t-test revealed significant and non-significant alterations in stress-loaded cases compared to normal ones. Higher levels of adrenaline may account for a more complex dynamics (deterministic chaos) revealed in the stressed subjects.
Ako citovať:
ISO 690:
Neacsu, I., Creanga, D., Tufescu, F. 2006. Complexity analysis of electrocardiographic signals. In General Physiology and Biophysics, vol. 25, no.2, pp. 161-176. 0231-5882.

APA:
Neacsu, I., Creanga, D., Tufescu, F. (2006). Complexity analysis of electrocardiographic signals. General Physiology and Biophysics, 25(2), 161-176. 0231-5882.