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

Leszek Grad; Krzysztof Murawski; Tadeusz Pustelny

doi:10.1117/12.2243952

2 September 2016 Measuring the stroke volume of the pneumatic heart prosthesis using an artificial neural network

Leszek Grad, Krzysztof Murawski, Tadeusz Pustelny

Proceedings Volume 10034, 11th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods; 1003407 (2016) https://doi.org/10.1117/12.2243952
Event: 11th Integrated Optics - Sensors, Sensing Structures and Methods, 2016, Szczyrk, Poland

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.

Citation Download Citation

Leszek Grad, Krzysztof Murawski, and Tadeusz Pustelny "Measuring the stroke volume of the pneumatic heart prosthesis using an artificial neural network", Proc. SPIE 10034, 11th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods, 1003407 (2 September 2016); https://doi.org/10.1117/12.2243952

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