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Analysis of long term heart rate variability: methods, 1/f scaling and implicationsThe use of spectral techniques to quantify short term heart rate fluctuations on the order of seconds to minutes has helped define the autonomic contributions to beat-to-beat control of heart rate. We used similar techniques to quantify the entire spectrum (0.00003-1.0 Hz) of heart rate variability during 24 hour ambulatory ECG monitoring. The ECG from standard Holter monitor recordings from normal subjects was sampled with the use of a phase locked loop, and a heart rate time series was constructed at 3 Hz. Frequency analysis of the heart rate signal was performed after a nonlinear filtering algorithm was used to eliminate artifacts. A power spectrum of the entire 24 hour record revealed power that was inversely proportional to frequency, 1/f, over 4 decades from 0.00003 to 0.1 Hz (period approximately 10 hours to 10 seconds). Displaying consecutive spectra calculated at 5 minute intervals revealed marked variability in the peaks at all frequencies throughout the 24 hours, probably accounting for the lack of distinct peaks in the spectra of the entire records.
Document ID
20040089064
Acquisition Source
Ames Research Center
Document Type
Reprint (Version printed in journal)
Authors
Saul, J. P.
(Harvard-MIT Division of Health Sciences and Technology Boston, MA, United States)
Albrecht, P.
Berger, R. D.
Cohen, R. J.
Date Acquired
August 21, 2013
Publication Date
January 1, 1988
Publication Information
Publication: Computers in cardiology
Volume: 14
ISSN: 0276-6574
Subject Category
Life Sciences (General)
Funding Number(s)
CONTRACT_GRANT: NAG2-327
Distribution Limits
Public
Copyright
Other
Keywords
Non-NASA Center
NASA Discipline Cardiopulmonary

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