Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Parametric Framework for Modelling of Bioelectrical SignalsImplementation of the Framework and Experimental Results

A Parametric Framework for Modelling of Bioelectrical Signals: Implementation of the Framework... [As the basis for the implementation, the EBI measurement method was selected to measure the impedance cardiography (ICG) and impedance respirogram (IRG) signals in order to develop the corresponding signal models; for this purpose, different curve-fitting methods are discussed.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Parametric Framework for Modelling of Bioelectrical SignalsImplementation of the Framework and Experimental Results

Download PDF
23 pages

Loading next page...
 
/lp/springer-journals/a-parametric-framework-for-modelling-of-bioelectrical-signals-SYMd3bdUqT
Publisher
Springer Singapore
Copyright
© Springer Science+Business Media Singapore 2016
ISBN
978-981-287-968-4
Pages
53 –76
DOI
10.1007/978-981-287-969-1_4
Publisher site
See Chapter on Publisher Site

Abstract

[As the basis for the implementation, the EBI measurement method was selected to measure the impedance cardiography (ICG) and impedance respirogram (IRG) signals in order to develop the corresponding signal models; for this purpose, different curve-fitting methods are discussed.]

Published: Jan 6, 2016

Keywords: Fourier Series; Polynomial Model; Separation Algorithm; Impedance Cardiography; Cardiac Signal

There are no references for this article.