DocumentCode
3251758
Title
Detection of position of replaced mechanical heart valve with ANN
Author
Altunkaya, Sabri ; Kara, Sadik ; Gormus, Niyazi
Author_Institution
Electr. & Electron. Eng. Dept., Necmettin Erbakan Univ., Konya, Turkey
fYear
2013
fDate
2-4 July 2013
Firstpage
573
Lastpage
576
Abstract
A mechanical heart valve is a device substituted for native heart valve. These valves are generally replaced with mitral or aorta valves. To found whether aorta or mitral heart valve replaced with mechanical one of patients is easy for specialist using stethoscope or chest X-ray. Expert system evaluating mechanical heart valve disease cannot deduce position of replaced heart valve. Thus, we aimed to determine which heart valve of patients was replaced with mechanical one to use preprocessing step in expert systems finding malfunctioning mechanical valve in this study. Electrocardiogram signal and 6 features extracted from power density of heart sounds were used to determine replaced heart valve using artificial neural networks. The heart sounds were separated into four parts according to recording area and sound component. Then, artificial neural networks was separately trained and tested for four sounds using the 6 features. As a result, the mechanical heart valve of patients was detected with 96.55% accuracy from the features of second heart sounds recorded from mitral area.
Keywords
electrocardiography; medical expert systems; neural nets; prosthetics; ANN; aorta valves; artificial neural networks; electrocardiogram signal; expert systems finding; heart sounds; malfunctioning mechanical valve; mechanical heart valve disease; mitral valves; power density; preprocessing step; Artificial neural networks; Correlation; Electrocardiography; Feature extraction; Heart; Training; Valves; Heart sounds; mechanical heart valve replacement;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications and Signal Processing (TSP), 2013 36th International Conference on
Conference_Location
Rome
Print_ISBN
978-1-4799-0402-0
Type
conf
DOI
10.1109/TSP.2013.6613999
Filename
6613999
Link To Document