Cardiovascular risk analysis by means of pulse morphology and clustering methodologies

Highlights • We developed a clustering methodology to deal with arterial pressure waveform (APW) parameters. • A new non-invasive device is being evaluated. • We collect a database of 116 subjects. • This study compares different methods used in the APW analysis towards cardiovascular diseases. • It...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 2014-11, Vol.117 (2), p.257-266
Main Authors: Almeida, Vânia G, Borba, J, Pereira, H. Catarina, Pereira, Tânia, Correia, Carlos, Pêgo, Mariano, Cardoso, João
Format: Article
Language:English
Subjects:
Applied sciences
Arterial hypertension. Arterial hypotension
Arterial stiffness
Atherosclerosis - diagnosis
Atherosclerosis - epidemiology
Biological and medical sciences
Blood and lymphatic vessels
Blood Pressure Determination - instrumentation
Blood Pressure Determination - statistics & numerical data
Cardiology. Vascular system
Cluster Analysis
Clustering analysis
Computer science
control theory
systems
Data processing. List processing. Character string processing
Diagnosis, Computer-Assisted - instrumentation
Diagnosis, Computer-Assisted - methods
Exact sciences and technology
Female
Humans
Incidence
Internal Medicine
Male
Medical sciences
Memory organisation. Data processing
Middle Aged
Operational research and scientific management
Operational research. Management science
Other
Portugal - epidemiology
Prognosis
Pulse wave analysis
Pulse Wave Analysis - instrumentation
Pulse Wave Analysis - statistics & numerical data
Reproducibility of Results
Risk Assessment - methods
Risk scores
Risk theory. Actuarial science
Sensitivity and Specificity
Software
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Description
Summary:Highlights • We developed a clustering methodology to deal with arterial pressure waveform (APW) parameters. • A new non-invasive device is being evaluated. • We collect a database of 116 subjects. • This study compares different methods used in the APW analysis towards cardiovascular diseases. • It is possible to assess potential cardiovascular risk in healthy subjects using cluster analysis.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2014.06.010