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A Parametric Framework for Modelling of Bioelectrical SignalsConclusions

A Parametric Framework for Modelling of Bioelectrical Signals: Conclusions [At the beginning of my research studies, my research was focused on developing an efficient and robust algorithm to separate the cardiac and respiratory signals from an electrical bio-impedance signal. The separated signals could then be analysed by cardiologists to understand the conditions of the heart and lungs.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Parametric Framework for Modelling of Bioelectrical SignalsConclusions

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Publisher
Springer Singapore
Copyright
© Springer Science+Business Media Singapore 2016
ISBN
978-981-287-968-4
Pages
77 –80
DOI
10.1007/978-981-287-969-1_5
Publisher site
See Chapter on Publisher Site

Abstract

[At the beginning of my research studies, my research was focused on developing an efficient and robust algorithm to separate the cardiac and respiratory signals from an electrical bio-impedance signal. The separated signals could then be analysed by cardiologists to understand the conditions of the heart and lungs.]

Published: Jan 6, 2016

Keywords: Fourier Series; Signal Model; Electrical Impedance Tomography; Independent Component Analysis; Signal Simulator

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