A mathematical model of the cardiovascular system under graded exercise levels.
This paper presents a nonlinear cardiovascular model for the study of cardiovascular response during graded exercise. There are two major innovations embedded in this model. Firstly, by tuning only three parameters, all major cardiovascular variables were accurately reproduced. Secondly, a robust and efficient function, which was built up using Support Vector Machine Regression, was added to the model to estimate metabolic demand. Experimental results for ten untrained males indicated that the established model is accurate in the sense that its predicted output was in good agreement with the measured data.
Biomedical Systems Laboratory, School of Electrical Engineering and Telecommunications, University of New South Wales, UNSW Sydney NSW 2052, Australia. LWang@cochlear.com
Lu
L
Wang
Yi
Y
Zhang
Ying
Y
Guo
Nghia
N
Nguyen
Daoming
D
Zhang
Branko G
BG
Celler
D000328:Adult; D002302:Cardiac Output / Q000502:physiology; D002320:Cardiovascular Physiological Phenomena; D015444:Exercise / Q000502:physiology*; D005080:Exercise Test; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008297:Male; D008955:Models, Cardiovascular; D060388:Support Vector Machine; D055815:Young Adult