The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Auscultation, a method to detect the condition of heart by examining the heart sounds, is widely used by cardiologists. Using artificial intelligence methods in auscultation to detect various heart diseases is increasing in present days. In this paper, we try to classify 5 different categories of mechanical artificial heart valve sounds. Considering that such classification task is highly nonlinear,...
Auscultation is a widely used efficient technique by cardiologists for detecting the heart conditions. Since the mechanical prosthetic heart valves are widely used today, it is important to develop a simple and efficient method to detect abnormal mechanical valves. In this paper, the mechanical prosthetic heart valve sounds are analyzed by using different power spectral density (PSD) estimation techniques...
In this paper, the spectral features in recorded heart sounds with mechanical prosthetic heart valves were investigated using various spectral estimation techniques. Results showed that for patients with mechanical prosthetic heart valve, using only PSD techniques, it is possible to identify the normal and abnormal patients, as well as classify perivalvular leakage, valve obstruction and stenosis-based...
The diagnostic features in recorded heart sounds with mechanical prosthetic heart valves (either mitral or aortic heart valve) were investigated by using spectral estimation and discrete wavelet transform (DWT) techniques. Results showed that for patients with mechanical prosthetic heart valve, it is possible to identify the normal patients, the perivalvular leakage patients and the valve obstruction...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.