Paper Info
Title
Detection of position of replaced mechanical heart valve with ANN
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.
Year
DOI
Venue
2013
10.1109/TSP.2013.6613999
Telecommunications and Signal Processing
Keywords
Field
DocType
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,Heart sounds,mechanical heart valve replacement
Stethoscope,Mitral heart valve,Computer science,Internal medicine,Control theory,Cardiology,Heart valve,Mitral area,Mechanical heart-valve,Electrocardiography,Aorta,Heart sounds
Conference
ISBN
Citations 
PageRank 
978-1-4799-0402-0
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Sabri Altunkaya100.34
Sadik Kara227527.39
Niyazi Görmüs300.34