Title :
Methods of spectral analysis of 24 hour monitoring of heart rate variations
Author :
Sapoznikov, D. ; Luria, M.H. ; Mahler, Y ; Gotsman, M.S.
Author_Institution :
Hadassah Univ. Hospital, Jerusalem, Israel
Abstract :
A method for trend subtraction and its effect on long-term monitoring of the low-frequency range of the heart rate variation is described. Slow trend removal is used prior to applying an autoregressive power spectral analysis to Holter heart rate data. Careful application of this trend removal algorithm reveals important changes in slow periodic heart rate fluctuations that are related to the activity of the automatic nervous system. These changes are otherwise masked by nonperiodic alterations
Keywords :
electrocardiography; patient monitoring; spectral analysis; 24 hour monitoring; 24 hr; Holter heart rate data; automatic nervous system; heart rate variations; nonperiodic alterations; slow trend removal; spectral analysis methods; trend subtraction; Fluctuations; Frequency; Heart rate; Heart rate measurement; Heart rate variability; Microwave integrated circuits; Nervous system; Performance analysis; Polynomials; Spectral analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95973
