Title :
Morphology evaluation of heart heart variability power spectrum
Author :
Bakardjian, Hovagim ; Yamamoto, Katsuyuki
Author_Institution :
Fac. of Eng., Hokkaido Univ., Sapporo, Japan
Abstract :
A relatively simple feature `fractal number´ reflects adequately differences in the morphology of power spectral patterns. The spectral region area ratios are well-known estimators of the heart rate variability but the fractal numbers are able to complementary evaluations of the particular spectral morphologies. The authors investigated 30 heart rate variability spectra and applied wave recognition techniques to the power density series of the R-R, Q-Q and S-S variability curves. Comparisons between spectral region area ratios and fractal number ratios showed the functionality of the morphology estimator as an appropriate complementary tool for clinical assessments of the sympatho-vagal balance at the sinus node
Keywords :
fractals; Q-Q variability curve; R-R variability curve; S-S variability curve; clinical assessments; fractal number; heart heart variability power spectrum; power density series; sinus node; spectral morphology evaluation; spectral region area ratios; sympatho-vagal balance; wave recognition techniques; Autonomic nervous system; Biomedical engineering; Electrocardiography; Fractals; Frequency estimation; Heart rate; Heart rate variability; Morphology; Power engineering and energy; Rhythm;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415458