In the article we presented results obtained during research, which are the continuation of work on the use of artificial neural networks to determine the relationship between the view of the membrane and the stroke volume of the blood chamber of the mechanical prosthetic heart. The purpose of the research was to increase the accuracy of determining the blood chamber volume. Therefore, the study was focused on the technique of the features that the image extraction gives. During research we used the wavelet transform. The achieved results were compared to the results obtained by other previous methods. Tests were conducted on the same mechanical prosthetic heart model used in previous experiments.

Date Published: 1 September 2017
PDF: 4 pages
Proc. SPIE 10455, 12th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods, 1045509 (1 September 2017); doi: 10.1117/12.2280804

Published in SPIE Proceedings Vol. 10455:
12th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods
Przemyslaw Struk; Tadeusz Pustelny, Editor(s)