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

Maria Hansson, Peter Jönsson

Forskningsoutput: TidskriftsbidragArtikelPeer review

18 Citeringar (Scopus)

Sammanfattning

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.

OriginalspråkEngelska
Sidor (från-till)749-761
Antal sidor12
TidskriftMedical Engineering and Physics
Volym28
Utgåva8
DOI
StatusPublicerad - 2006
Externt publiceradJa

Nationell ämneskategori

  • Neurovetenskaper (30105)

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