Journal article
Orthonormal-basis partitioning and time-frequency representation of cardiac rhythm dynamics
IEEE transactions on biomedical engineering, Vol.52(5), pp.878-889
05/2005
DOI: 10.1109/TBME.2005.845228
PMID: 15887537
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.
Details
- Title: Subtitle
- Orthonormal-basis partitioning and time-frequency representation of cardiac rhythm dynamics
- Creators
- Benhur Aysin - University of Pittsburgh, Pittsburgh, PA 15213, USA. b_aysin@yahoo.comLuis F ChaparroIlan GravéVladimir Shusterman
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on biomedical engineering, Vol.52(5), pp.878-889
- DOI
- 10.1109/TBME.2005.845228
- PMID
- 15887537
- ISSN
- 0018-9294
- eISSN
- 1558-2531
- Grant note
- P50 HL52338 / NHLBI NIH HHS
- Language
- English
- Date published
- 05/2005
- Academic Unit
- Cardiovascular Medicine; Internal Medicine
- Record Identifier
- 9984094346202771
Metrics
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