Estimation of HRV spectrogram using multiple window methods focussing on the high frequency power
Författare
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.
Avdelning/ar
- Matematisk statistik
- Institutionen för psykologi
- Statistical Signal Processing Group
Publiceringsår
2006
Språk
Engelska
Sidor
749-761
Publikation/Tidskrift/Serie
Medical Engineering & Physics
Volym
28
Issue
8
Länkar
Dokumenttyp
Artikel i tidskrift
Förlag
Elsevier
Ämne
- Psychology
- Probability Theory and Statistics
Nyckelord
- multiple windows
- band (HF)
- spectrum analysis
- spectrogram
- high frequency
- variability (HRV)
- heart rate
- respiratory sinus arrhythmia (RSA)
Status
Published
Forskningsgrupp
- Statistical Signal Processing Group
ISBN/ISSN/Övrigt
- ISSN: 1873-4030