An advanced detrending method with application to HRV analysis

Author

Tarvainen, Mika P. ; Ranta-aho, Perttu O. ; Karjalainen, Pasi A.

Author_Institution

Dept. of Appl. Phys., Kuopio Univ., Finland

Volume

49

Issue

2

fYear

2002

Firstpage

172

Lastpage

175

Abstract

An advanced, simple to use, detrending method to be used before heart rate variability analysis (HRV) is presented. The method is based on smoothness priors approach and operates like a time-varying finite-impulse response high-pass filter. The effect of the detrending on time- and frequency-domain analysis of HRV is studied.

Keywords

electrocardiography; frequency-domain analysis; least squares approximations; medical signal processing; signal sampling; smoothing methods; spectral analysis; time series; time-domain analysis; ECG sampling; RR interval data; advanced detrending method; autonomic nervous system activity; frequency-domain analysis; heart rate variability analysis; mean-squared differences; power spectrum estimate; regularized least squares solution; respiratory sinus arrhythmia quantification; signal detrending; smoothness priors approach; spectral analysis; time series; time-domain analysis; time-varying FIR high-pass filter; Autonomic nervous system; Detectors; Electrocardiography; Filters; Frequency domain analysis; Frequency estimation; Heart rate variability; Physics; Power distribution; Spectral analysis; Algorithms; Electrocardiography; Fourier Analysis; Heart Rate; Humans; Models, Cardiovascular; Nonlinear Dynamics; Signal Processing, Computer-Assisted; Stochastic Processes;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.979357

Filename

979357