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A Generic Luczak-based Cardiovascular Model for Healthy Subjects under Physical Stress
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 66 - Number 16 |
| Year of Publication: 2013 |
| Authors: Mohamed A. Abbass, Emad El Samahy |
10.5120/11170-6347
|
Mohamed A. Abbass, Emad El Samahy . A Generic Luczak-based Cardiovascular Model for Healthy Subjects under Physical Stress. International Journal of Computer Applications. 66, 16 ( March 2013), 29-35. DOI=10.5120/11170-6347
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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