Generating Heart Rate Variability - Application to Hybrid Modeling of Cardiorespiratory System View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2009

AUTHORS

Ratko Magjarevic , W. Klonowski , P. Stepien , R. Stepien , P. Bal

ABSTRACT

Since Heart Rate Variability (HRV) is an important indicator of patient’s health it is important to introduce HRV into the hybrid models of cardiorespiratory system. We decided to use Elman’s neural networks to generate off-line HRV signals of physiological and pathological patients, and we are working on application of this method on-line in our hybrid model. For analysis of the generated HRV and their comparison with input data we apply Higuchi’s Fractal Dimension method. More... »

PAGES

157-158

Book

TITLE

World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany

ISBN

978-3-642-03881-5
978-3-642-03882-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-03882-2_40

DOI

http://dx.doi.org/10.1007/978-3-642-03882-2_40

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024162286


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