A New Approach to Early Diagnosis of Congestive Heart Failure Disease by Using Hilbert-Huang Transform

ALLAHVERDİ, Novruz | KUTLU, Yakup | ALTAN, Gökhan |

Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted as the most important cause of CHF. This study focuses on the diagnosis of both the CHF and the CAD. The Hilbert-Huang transform (HHT), which is effective on non-linear and non-stationary signals, is used to extract the features from R-R intervals obtained from the raw electrocardiogram ddata. The statistical features are extracted from instinct mode functions that are obtained applying ...Daha fazlası

Makale 2016 4 Görüntülenme

Erişime Açık

Diagnosis of Coronary Artery Disease Using Deep Belief Networks

ALLAHVERDİ, Novruz | KUTLU, Yakup | ALTAN, Gökhan

In this study, a decision-support system is presented to aid cardiologists during the diagnosis and to create a base for a new diagnosis system which separates two classes (CAD and no-CAD patients) using an electrocardiogram (ECG). 24 hour filtered ECG signals from PhysioNet were used. 15 second short-term ECG segments were extracted from 24 hour ECG signals to increase the number of samples and to provide a convenient transformation in a short period of time. The Hilbert-Huang Transform, which is effective on non-linear and nonstationary signals, was used to extract the features from short-te ...Daha fazlası

Konferans Bildirisi 2016 3 Görüntülenme