In this paper a new approach to morphological pulse analysis is presented, and an innovative methodology to cardiovascular risk assessment, taking as reference ...
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 ...
Unsupervised clustering algorithms, such as k-means clustering, were also used to assess future cardiovascular risk in healthy subjects by analyzing data of ...
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of ...
We sought to determine whether a simple method of clustering cardiovascular risks could detect early atherosclerotic changes in youth.
Missing: morphology methodologies.
Cardiovascular risk analysis by means of pulse morphology and clustering methodologies. Authors Almeida, VG; Borba, J; Pereira, HC; Pereira, T; Correia, C ...
In this paper we present an efficient computational method for automatic identification of these morphological patterns. Our algorithm uses likelihood ratio of ...
Missing: methodologies. | Show results with:methodologies.
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Cardiovascular risk analysis by means of pulse morphology and clustering methodologies · João Luís Cardoso. Computer methods and programs in biomedicine, 2014.
This study aims to evaluate the association between carotid-femoral Pulse Wave Velocity (cfPWV) and CCS score through computational clustering.
In this study, a new method for detection of arterial blood pressure pulses (ABP) is presented. The algorithm employs discrete wavelet transform (DWT) ...