Measuring the stroke volume of the pneumatic heart prosthesis using an artificial neural network
Leszek Grad, Krzysztof Murawski, Tadeusz Piotr Pustelny · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
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.