Cardiovascular risk analysis by means of pulse morphology and clustering methodologies

Article


Gomes de Almeida, V., Borba, J., Pereira, H., Pereira, T., Correia, C., Pêgo, M. and Cardoso, J. 2014. Cardiovascular risk analysis by means of pulse morphology and clustering methodologies. Computer Methods and Programs in Biomedicine. 117 (2), pp. 257-266. https://doi.org/10.1016/j.cmpb.2014.06.010
TypeArticle
TitleCardiovascular risk analysis by means of pulse morphology and clustering methodologies
AuthorsGomes de Almeida, V., Borba, J., Pereira, H., Pereira, T., Correia, C., Pêgo, M. and Cardoso, J.
Abstract

The purpose of this study was the development of a clustering methodology to deal with arterial pressure waveform (APW) parameters to be used in the cardiovascular risk assessment. One hundred sixteen subjects were monitored and divided into two groups. The first one (23 hypertensive subjects) was analyzed using APW and biochemical parameters, while the remaining 93 healthy subjects were only evaluated through APW parameters. The expectation maximization (EM) and k-means algorithms were used in the cluster analysis, and the risk scores (the Framingham Risk Score (FRS), the Systematic COronary Risk Evaluation (SCORE) project, the Assessing cardiovascular risk using Scottish Intercollegiate Guidelines Network (ASSIGN) and the PROspective Cardiovascular Münster (PROCAM)), commonly used in clinical practice were selected to the cluster risk validation. The result from the clustering risk analysis showed a very significant correlation with ASSIGN (r = 0.582, p < 0.01) and a significant correlation with FRS (r = 0.458, p < 0.05). The results from the comparison of both groups also allowed to identify the cluster with higher cardiovascular risk in the healthy group. These results give new insights to explore this methodology in future scoring trials.

KeywordsArterial stiffness; Pulse wave analysis; Risk scores; Clustering analysis
PublisherElsevier Science
JournalComputer Methods and Programs in Biomedicine
ISSN0169-2607
Electronic1872-7565
Publication dates
Online25 Jun 2014
Print01 Nov 2014
Publication process dates
Deposited05 Mar 2018
Accepted17 Jun 2014
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1016/j.cmpb.2014.06.010
Web of Science identifierWOS:000343091400020
LanguageEnglish
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