Detection of Mechanical Heart Valve Thrombosis Using Support Vector Machine

Year 2019, , 44 - 48, 30.06.2019

Sabri Altunkaya Onur İnan

https://doi.org/10.18100/ijamec.569835

Abstract

Thrombosis on the valve that prevents the movement of mechanical heart
valves is a fatal disease requiring urgent intervention. Thrombosis is detected
by echocardiographic findings and/or CT images. In this study, it has been
tried to determine the formation of thrombosis by listening method which has
been used for controlling the functionality of the heart valves for years. For
this firstly heart sounds of patients with thrombosis and normal mechanical
heart valves were recorded. Then the first and second heart sounds (S1 and S2)
were separated from the recorded sounds. After the frequency spectrum of S1 and
S2 were found using autoregressive spectrum estimation methods, six features
were obtained regarding the frequency components. Then the features obtained
are classified by support vector machine methods. The accuracy value was found
to be 100% by using the 3 fold cross-validation. The average accuracy is 95.18%
as a result of running the classifier 500 times using 3 fold-cross validation.

Keywords

Mechanical Heart Valve, Heart Sounds, Support Vector Machine

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