Title :
Implicit comparison of accuracy of heart rate variability spectral measures estimated via heart rate and heart period signals
Author_Institution :
Tech. Univ., Munich
Abstract :
In this article an overview of existing signals for evaluation of HRV spectral domain measures is made. Functional dependency between heart rate and heart period signals has been analyzed. Artificial data series have been used to extract features of spectra estimated via heart rate and heart period signals. Criteria for choosing between mentioned signals has been introduced and discussed. Implicit comparison of distortions of spectral measures estimation has been tested on ldquoFantasiardquo database (Physionet.org). Statistical analysis of differences between calculated spectral HRV measures obtained using heart rate and heart period signals has been presented.
Keywords :
biology computing; cardiology; medical signal processing; spectral analysis; Fantasia database; artificial data series; heart period signals; heart rate variability spectral domain measures; statistical analysis; Artificial intelligence; Data mining; Distortion measurement; Feature extraction; Frequency estimation; Heart rate; Heart rate variability; Nonlinear distortion; Numerical simulation; Signal analysis;
Conference_Titel :
Computers in Cardiology, 2008
Conference_Location :
Bologna
Print_ISBN :
978-1-4244-3706-1
DOI :
10.1109/CIC.2008.4749101