DocumentCode
557447
Title
Getting the variables that represent the arterial diameter variation wave in radial artery
Author
Almirantearena, F. Nuño ; Clara, F. ; López, P. Burillo
Author_Institution
Electron. Dept., Nat. Univ. of Mar del Plata, Mar del Plata, Argentina
Volume
2
fYear
2011
fDate
15-17 Oct. 2011
Firstpage
767
Lastpage
772
Abstract
One of the main characteristics of illnesses like atherosclerosis and hypertension is the loss of arterial elasticity. In this article we develop two methods to determine the variables that represent the arterial diameter variation (ADV) wave in radial artery which will later allow us to study the arterial elasticity from the radial artery. For our study we use fifty three arterial diameter variation waves of normotensive men. We develop a software that automatically obtains fifty variables for each one of the ADV waves by means of straight lines on the contour of the wave. We reduce the number of variables when using Analysis Multivariate and a biological approach that expresses the increase of the propagation velocity of the pulse wave in the arterial system with age. It is important to point out that the ADV waves are identical in form to the pressure wave in the radial artery. When applying the Analysis Multivariate by means of the Principal Components Analysis and Multiple Regression to the ADV waves, the number of independent variables first decreases from fifty to sixteen with a coefficient of multiple determination R2 that varies between 54% and 100% (p <;0.001), and in a second stage, when applying an empiric approach, the variables number that represent the ADV wave decreases from sixteen to seven with a coefficient of multiple determination R2 that varies between 32% and 100% (p <;0.01). We have developed a low cost electronic equipment that uses a non invasive technique to obtain the ADV waves in radial artery. By means of two methods a statistical and an empiric one, we select and obtained, the seven variables that represent the ADV waves. These variables depend on the time and not of their normalized amplitude.
Keywords
biomechanics; blood vessels; diseases; elasticity; principal component analysis; regression analysis; analysis multivariate; arterial diameter variation wave; arterial elasticity; atherosclerosis; electronic equipment; hypertension; illnesses; multiple regression analysis; normotensive men; principal component analysis; pulse propagation velocity; radial artery; statistical method; Arteries; Correlation; Eigenvalues and eigenfunctions; Elasticity; Principal component analysis; Software; Vectors; Arterial Diameter Variation Wave; Arterial Systems; Principal Components Analysis; Signal Processing; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-9351-7
Type
conf
DOI
10.1109/BMEI.2011.6098414
Filename
6098414
Link To Document