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

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Author

Summary, in English

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.

Department/s

Publishing year

2006

Language

English

Pages

749-761

Publication/Series

Medical Engineering & Physics

Volume

28

Issue

8

Document type

Journal article

Publisher

Elsevier

Topic

  • Psychology
  • Probability Theory and Statistics

Keywords

  • multiple windows
  • band (HF)
  • spectrum analysis
  • spectrogram
  • high frequency
  • variability (HRV)
  • heart rate
  • respiratory sinus arrhythmia (RSA)

Status

Published

Research group

  • Statistical Signal Processing Group

ISBN/ISSN/Other

  • ISSN: 1873-4030