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1 September 2017 Research to improve the accuracy of determining the stroke volume of an artificial ventricle using the wavelet transform
Leszek Grad, Krzysztof Murawski, Wojciech Sulej
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Proceedings Volume 10455, 12th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods; 1045509 (2017) https://doi.org/10.1117/12.2280804
Event: Twelfth Integrated Optics – Sensors, Sensing Structures and Methods Conference, 2017, Szczyrk-Gliwice, Poland
Abstract
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.
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Leszek Grad, Krzysztof Murawski, and Wojciech Sulej "Research to improve the accuracy of determining the stroke volume of an artificial ventricle using the wavelet transform", Proc. SPIE 10455, 12th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods, 1045509 (1 September 2017); https://doi.org/10.1117/12.2280804
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KEYWORDS
Artificial neural networks
Optical testing
Wavelet transforms
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