Title
Orthonormal-basis partitioning and time-frequency representation of cardiac rhythm dynamics
Document Type
Article
Publication Title
IEEE Transactions on Biomedical Engineering
Publication Date
5-1-2005
Abstract
Although a number of time-frequency representations have been proposed for the estimation of time-dependent spectra, the time-frequency analysis of multicomponent physiological signals, such as beat-to-beat variations of cardiac rhythm or heart rate variability (HRV), is difficult. We thus propose a simple method for 1) detecting both abrupt and slow changes in the structure of the HRV signal, 2) segmenting the nonstationary signal into the less nonstationary portions, and 3) exposing characteristic patterns of the changes in the time-frequency plane. The method, referred to as orthonormal-basis partitioning and time-frequency representation (OPTR), is validated using simulated signals and actual HRV data. Here we show that OPTR can be applied to long multicomponent ambulatory signals to obtain the signal representation along with its time-varying spectrum. © 2005 IEEE.
Volume
52
Issue
5
First Page
878
Last Page
889
DOI
10.1109/TBME.2005.845228
ISSN
00189294
PubMed ID
15887537
Recommended Citation
Aysin, Benhur; Chaparro, Luis F.; Gravé, Ilan; and Shusterman, Vladimir, "Orthonormal-basis partitioning and time-frequency representation of cardiac rhythm dynamics" (2005). Faculty Publications. 1416.
https://jayscholar.etown.edu/facpubharvest/1416
