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A Generic Luczak-based Cardiovascular Model for Healthy Subjects under Physical Stress

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 66 - Number 16
Year of Publication: 2013
Authors:
Mohamed A. Abbass
Emad El Samahy
10.5120/11170-6347

Mohamed A Abbass and Emad El Samahy. Article: A Generic Luczak-based Cardiovascular Model for Healthy Subjects under Physical Stress. International Journal of Computer Applications 66(16):29-35, March 2013. Full text available. BibTeX

@article{key:article,
	author = {Mohamed A. Abbass and Emad El Samahy},
	title = {Article: A Generic Luczak-based Cardiovascular Model for Healthy Subjects under Physical Stress},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {66},
	number = {16},
	pages = {29-35},
	month = {March},
	note = {Full text available}
}

Abstract

A generic cardiovascular (CV) model for subjects under physical stress, based on luczak first and second models, is presented in this paper. A measured heart rate (HR) and blood pressure (BP) signals for 16 healthy subjects were used from a previous research, the measured data were divided into two groups: 12 subjects (Group (1)) for parameters estimation and neural network training, while the other 4 subjects (Group (2)) for model validation. The parameters were estimated via the parameter estimation toolbox (pattern search method) within the environment of Matlab®. The best parameters for each 12 subject were used as a target for an intelligent neural network layer, which used to interpolate the input features for an unknown subject to these parameters. The output of the generic model was validated by comparing the measured HR and BP signals of Group (2) and the estimated one in the frequency and time domains. Finally, the presented generic model with its intelligent neural network layer was found to be able to simulate the HR and BP signals for the unknown subjects under test with a good accuracy.

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