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Estimation of HRV spectrogram using multiple window methods focussing on the high frequency power

Sandsten, Maria LU and Jönsson, Peter LU (2006) In Medical Engineering & Physics 28(8). p.749-761
Abstract
In this paper, the results of different multiple window spectrum analysis methods are compared in the estimation of heart rate variability (HRV) power spectra, in the high frequency band (HF), around 0.25 Hz, related to respiratory sinus arrhythmia (RSA). The evaluation is performed by simulating different spectrum shapes and peak frequency locations and calculating the mean squared error of a frequency range close around the strongest spectral peak. The results show that it is preferable to use the Peak Matched Multiple Windows in most situations, but the Welch method and the Sinusoid Multiple Windows can be as reliable in certain aspects.
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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
multiple windows, band (HF), spectrum analysis, spectrogram, high frequency, variability (HRV), heart rate, respiratory sinus arrhythmia (RSA)
in
Medical Engineering & Physics
volume
28
issue
8
pages
749 - 761
publisher
Elsevier
external identifiers
  • pmid:16443384
  • wos:000240693800002
  • scopus:33744985227
ISSN
1873-4030
DOI
10.1016/j.medengphy.2005.11.004
language
English
LU publication?
yes
id
58a3aedb-4a76-419c-a6c8-c033a2b22636 (old id 392640)
date added to LUP
2016-04-01 16:24:11
date last changed
2022-01-28 19:28:36
@article{58a3aedb-4a76-419c-a6c8-c033a2b22636,
  abstract     = {{In this paper, the results of different multiple window spectrum analysis methods are compared in the estimation of heart rate variability (HRV) power spectra, in the high frequency band (HF), around 0.25 Hz, related to respiratory sinus arrhythmia (RSA). The evaluation is performed by simulating different spectrum shapes and peak frequency locations and calculating the mean squared error of a frequency range close around the strongest spectral peak. The results show that it is preferable to use the Peak Matched Multiple Windows in most situations, but the Welch method and the Sinusoid Multiple Windows can be as reliable in certain aspects.}},
  author       = {{Sandsten, Maria and Jönsson, Peter}},
  issn         = {{1873-4030}},
  keywords     = {{multiple windows; band (HF); spectrum analysis; spectrogram; high frequency; variability (HRV); heart rate; respiratory sinus arrhythmia (RSA)}},
  language     = {{eng}},
  number       = {{8}},
  pages        = {{749--761}},
  publisher    = {{Elsevier}},
  series       = {{Medical Engineering & Physics}},
  title        = {{Estimation of HRV spectrogram using multiple window methods focussing on the high frequency power}},
  url          = {{http://dx.doi.org/10.1016/j.medengphy.2005.11.004}},
  doi          = {{10.1016/j.medengphy.2005.11.004}},
  volume       = {{28}},
  year         = {{2006}},
}