Investigating the possibility of using a neural network to determine the stroke volume of a new pneumatic heart prosthesis model

Leszek Grad; Wojciech Sulej; Krzysztof Murawski

doi:10.1117/12.2503654

14 August 2018 Investigating the possibility of using a neural network to determine the stroke volume of a new pneumatic heart prosthesis model

Leszek Grad, Wojciech Sulej, Krzysztof Murawski

Author Affiliations +

Proceedings Volume 10830, 13th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods; 108300W (2018) https://doi.org/10.1117/12.2503654
Event: Thirteenth Integrated Optics: Sensors, Sensing Structures and Methods Conference, 2018, Szcyrk, Poland

Abstract

The work concerns the study of the possibility of using an artificial neural network to determine the ejection volume of pulsatile models of heart assist pumps. The research used new pump designs, significantly different from those used in terms of dimensions and the material from which the flaccid membrane was made. The basis for determining the ejection volume are the special features of the membrane view, which is obtained from the vision sensor. The essence of the method operation depends on associating the membrane view with the corresponding reference volume value, which during the network learning process, is read from the burette with an accuracy of ±0.5 ml. The operation of the artificial neural network consists in the identification of artifacts on the examined views of the membranes and associating them with the ejection volume values. In the case where the membrane view cannot be univocally qualified to the training set, the network acts as an interpolator and predicts the stroke volume value. Verifying the ability to determine the stroke volume by the neural network was performed in close-to-real conditions. In addition to the test results, the article presents new pump designs, the laboratory station and the course of the experiment.

Citation Download Citation

Leszek Grad, Wojciech Sulej, and Krzysztof Murawski "Investigating the possibility of using a neural network to determine the stroke volume of a new pneumatic heart prosthesis model", Proc. SPIE 10830, 13th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods, 108300W (14 August 2018); https://doi.org/10.1117/12.2503654

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