86 citations · 115 across the 5 of their papers we have counts for
5 papers
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
Aysen Degerli, Morteza Zabihi, Serkan Kiranyaz +4
Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and t…
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
Serkan Kiranyaz, Aysen Degerli, Tahir Hamid +7
Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly kno…
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
Ali Bahrami Rad, Morteza Zabihi, Zheng Zhao +3
Objective: The aim of this study is to develop an automated classification algorithm for polysomnography (PSG) recordings to detect non-apneic and non-hypopneic arousals. Our parti…
1D Convolutional Neural Network Models for Sleep Arousal Detection
Morteza Zabihi, Ali Bahrami Rad, Serkan Kiranyaz +2
Sleep arousals transition the depth of sleep to a more superficial stage. The occurrence of such events is often considered as a protective mechanism to alert the body of harmful s…
Real-time PCG Anomaly Detection by Adaptive 1D Convolutional Neural Networks
Serkan Kiranyaz, Morteza Zabihi, Ali Bahrami Rad +4
The heart sound signals (Phonocardiogram - PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnosti…