There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …

Heart rate variability (HRV) is a reliable reflection of the many physiological factors
modulating the normal rhythm of the heart. In fact, they provide a powerful means of …

Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

About 1% of the people in the world suffer from epilepsy and 30% of epileptics are not
helped by medication. Careful analyses of the electroencephalograph (EEG) records can …

Guided-wave (GW) approaches have shown potential in various initial laboratory
demonstrations as a solution to structural health monitoring (SHM) for damage prognosis …

Relying heavily on MATLAB problems and examples, as well as simulated data, this
text/reference surveys a vast array of signal and image processing tools for biomedical …

The EEG (Electroencephalogram) signal indicates the electrical activity of the brain. They
are highly random in nature and may contain useful information about the brain state …

Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …

Over the years ElectroCardioGram (ECG) signal has been used to assess the
cardiovascular condition of humans. In practice, real time acquisition and transmission of the …

Over the years, wavelet-based analyses have been responsible for remarkable
achievements in physics and related sciences. Nevertheless, a deep inspection on wavelet …