Name
Abstract | ||
|---|---|---|
The assessment of cardiovascular function by means of arterial pulse wave analysis (PWA) is well established in clinical practice.
PWA is applied to study risk stratification in hypertension, with emphasis on the measurement of the augmentation index as
a measure of aortic pressure wave reflections. Despite the fact that the prognostic power of PWA, in its current form, still
remains to be demonstrated in the general population, there is general agreement that analysis and interpretation of the waveform
might provide a deeper insight in cardiovascular pathophysiology. We propose here the use of wavelet analysis (WA) as a tool
to quantify arterial pressure waveform features, with a twofold aim. First, we discuss a specific use of wavelet transform
in the study of pressure waveform morphology, and its potential role in ascertaining the dynamics of temporal properties of
arterial pressure waveforms. Second, we apply WA to evaluate a database of carotid artery pressure waveforms of healthy middle-aged
women and men. Wavelet analysis has the potential to extract specific features (wavelet details), related to wave reflection
and aortic valve closure, from a measured waveform. Analysis showed that the fifth detail, one of the waveform features extracted
applying the wavelet decomposition, appeared to be the most appropriate for the analysis of carotid artery pressure waveforms.
What remains to be assessed is how the information embedded in this detail can be further processed and transformed into quantitative
data, and how it can be rendered useful for automated waveform classification and arterial function parameters with potential
clinical applications. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s11517-008-0397-9 | Med. Biol. Engineering and Computing |
Keywords | Field | DocType |
wavelet transform,arterial pressure,blood pressure,wavelet analysis,feature extraction | Population,Aortic pressure,Parameter,Waveform,Electronic engineering,Blood pressure,Mathematics,Wavelet transform,Wavelet,Pulse Wave Analysis | Journal |
Volume | Issue | ISSN |
47 | 2 | 1741-0444 |
Citations | PageRank | References |
10 | 1.47 | 2 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mirko De Melis | 1 | 10 | 1.47 |
| Umberto Morbiducci | 2 | 22 | 5.13 |
| Ernst R. Rietzschel | 3 | 10 | 1.47 |
| Marc De Buyzere | 4 | 10 | 1.47 |
| Ahmad Qasem | 5 | 11 | 2.86 |
| Luc Van Bortel | 6 | 10 | 1.81 |
| Tom Claessens | 7 | 10 | 1.47 |
| Franco M. Montevecchi | 8 | 10 | 1.81 |
| Albert Avolio | 9 | 32 | 16.60 |
| Patrick Segers | 10 | 22 | 6.79 |