Matches in UGent Biblio for { <https://biblio.ugent.be/publication/973435#aggregation> ?p ?o. }
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- aggregation classification "A1".
- aggregation creator B383043.
- aggregation creator B383044.
- aggregation creator B383045.
- aggregation creator B383046.
- aggregation creator B383047.
- aggregation creator B383048.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2009".
- aggregation hasFormat 973435.bibtex.
- aggregation hasFormat 973435.csv.
- aggregation hasFormat 973435.dc.
- aggregation hasFormat 973435.didl.
- aggregation hasFormat 973435.doc.
- aggregation hasFormat 973435.json.
- aggregation hasFormat 973435.mets.
- aggregation hasFormat 973435.mods.
- aggregation hasFormat 973435.rdf.
- aggregation hasFormat 973435.ris.
- aggregation hasFormat 973435.txt.
- aggregation hasFormat 973435.xls.
- aggregation hasFormat 973435.yaml.
- aggregation isPartOf urn:issn:0140-0118.
- aggregation language "eng".
- aggregation publisher "SPRINGER HEIDELBERG".
- aggregation title "Blood pressure waveform analysis by means of wavelet transform".
- aggregation 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.".
- aggregation authorList BK692334.
- aggregation endPage "173".
- aggregation issue "2".
- aggregation startPage "165".
- aggregation volume "47".
- aggregation isDescribedBy 973435.
- aggregation similarTo s11517-008-0397-9.
- aggregation similarTo LU-973435.