Phonocardiography is a non-invasive technique for the detection of fetal heart sounds
(fHSs). In this study, analysis of fetal phonocardiograph (fPCG) signals, in order to achieve …

The book provides an insight into the advantages and limitations of the use of fractals in
biomedical data. It begins with a brief introduction to the concept of fractals and other …

Many methods for automatic heartbeat classification have been applied and reported in
literature, but methods, which used the basin geometry of quasi-periodic oscillations of …

In sensitive database applications (eg, time series, scientific databases, and biometric),
where database is encrypted and outsourced to a public cloud, secure approximate k …

Despite numerous studies during the last decade speech emotion recognition is still the task
of limited success. Great efforts were made for extending emotional speech feature sets and …

Information technology has virtually altered every aspect of human life in the present era.
The application of informatics in the health sector is rapidly gaining prominence and the …

Cardiovascular diseases are one of the major problems of humanity and therefore one of
their component, arrhythmia detection and classification drawn an increased attention …

P wave characterization in the clinical diagnosis of arrhythmia is of great significance. We
use the variable measurement model to visualize the P wave characteristics in the …

Reliable ECG classification can potentially lead to better detection methods and increase
accurate diagnosis of arrhythmia, thus improving quality of care. This thesis investigated the …

Damage detection and identification is one of the most important tasks of proper operation of
technical objects and structures. It is, therefore, essential to develop efficient and sensitive …