title: Estimation of HRV spectrogram using multiple window methods focussing on the high frequency power.
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.
authors.affiliation: Centre for Mathematical Sciences, Mathematical Statistics, Lund University, Box 118, S-221 00 Lund, Sweden. mh@maths.lth.se <mh@maths.lth.se>
authors.forename: Maria
authors.initials: M
authors.lastname: Hansson
authors.forename: Peter
authors.initials: P
authors.lastname: Jönsson
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate; D006801:Humans; D008955:Models, Cardiovascular; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity