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Proceedings Paper

Measuring the stroke volume of the pneumatic heart prosthesis using an artificial neural network
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Paper Abstract

The paper presents the use of an artificial neural network in sensors application. The task is to determine the volume of the chamber. The tests were performed on a model of a chamber in a mechanical prosthetic heart. In the considered task the surface of the diaphragm is observed by a near-infrared band camera. The artificial neural network was used to determine the relationship between the real views of the diaphragm and stroke volume. The artificial neural network learning process and research results are presented in the article.

Paper Details

Date Published: 2 September 2016
PDF: 4 pages
Proc. SPIE 10034, 11th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods, 1003407 (2 September 2016); doi: 10.1117/12.2243952
Show Author Affiliations
Leszek Grad, Military Univ. of Technology (Poland)
Krzysztof Murawski, Military Univ. of Technology (Poland)
Tadeusz Pustelny, Silesian Univ. of Technology (Poland)

Published in SPIE Proceedings Vol. 10034:
11th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods
Tadeusz Pustelny; Przemyslaw Struk; Pawel Mergo; Jacek Wojtas, Editor(s)

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