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Time and frequency domain methods for heart rate variability analysis: A methodological comparison
Author(s) -
LITVACK DANIEL A.,
OBERLANDER TIM F.,
CARNEY LAUREL H.,
SAUL J. PHILIP
Publication year - 1995
Publication title -
psychophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.661
H-Index - 156
eISSN - 1469-8986
pISSN - 0048-5772
DOI - 10.1111/j.1469-8986.1995.tb02101.x
Subject(s) - frequency domain , detrended fluctuation analysis , statistics , range (aeronautics) , spectral density , signal (programming language) , frequency band , frequency analysis , polynomial , time domain , mathematics , spectral analysis , variance (accounting) , physics , mathematical analysis , telecommunications , computer science , bandwidth (computing) , materials science , geometry , accounting , quantum mechanics , scaling , spectroscopy , business , composite material , computer vision , programming language
The purpose of this paper is to analytically evaluate and compare two of the most common methods for measuring respiration‐related heart rate fluctuations: linear detrended heart rate power spectral analysis and the Porges technique of filtered variance. Low‐frequency power was removed from instantaneous 4‐Hz R‐R interval signals using either a first‐order linear (linear/spectral technique) or a third‐order polynomial (MPF‐var technique). The signals were band‐pass filtered and analyzed in both the time and frequency domains. Although in most cases the two techniques yielded substantially similar results, the MPF‐var technique resulted in signal amplification at a few specific frequencies. The frequency range and effect of amplification of the MPF‐var technique were dependent upon the polynomial size, sampling frequency, and frequency content of the signal.