Signals of biomedical nature are in the most cases characterized by short, impulse like
events that represent transitions between different phases of a biological cycle. As an …

Signals of biomedical nature are in the most cases characterized by short, impulse-like
events that represent transitions between different phases of a biological cycle. As an …

In recent years, a particular challenge has arisen in noninvasive medical diagnostic
procedures. Because biosignals recorded on the body surface reflect the internal behaviour …

Summary Hidden Markov Models (HMM) have proven to be very useful in a variety of
biomedical applications. The most established method for estimating HMM parameters is the …

Wavelets analysis is finding a rapidly growing number of applications in fields ranging from
communications to medicine. It has become a powerful alternative for the analysis of …

Time-series analysis is the basis for characterization and modeling of an observed system.
The aim of this analysis is the prediction of the short-term evolution of a dynamic system and …

Publisher Summary A Magnetic Resonance (MR) scanner enables one to noninvasively
detect and quantify biochemical substances at selected positions in patients. The MR signal …

Biomedicine signal processing algorithms offer a variety of opportunities to improve
performance. In this study, a new wavelet delta-function (WDF) method was proposed to …

Signals recorded from the human body provide information pertaining to its organs. Their
characteristic shape, or temporal and spectral properties, can be correlated with normal or …

Cardiovascular diseases are one of the main causes of deathin the world, as a result much
efforts have been made to detect early ischemia. Traditionally changes produced in the ST …