This work investigates the problem of detecting hazardous events on roads by designing an
audio surveillance system that automatically detects perilous situations such as car crashes …

The electroencephalogram (EEG) is the frequently used signal to detect epileptic seizures in
the brain. For a successful epilepsy surgery, it is very essential to localize epileptogenic area …

Instantaneous frequency (IF) estimation of multi-component signals with closely spaced and
intersecting signal components of varying amplitudes is a challenging task. This paper …

The instantaneous frequency has been frequently employed as a feature for the detection of
the oscillatory type of seizures in electroencephalogram signals. However, seizures …

The detection of seizure activity in electroencephalogram (EEG) segments is very important
for the classification and localization of epileptic seizures. The evolution of a seizure in an …

Instantaneous frequency (IF) is commonly used in the analysis of electroencephalogram
(EEG) signals to detect oscillatory-type seizures. However, IF cannot be used to analyze …

The instantaneous frequency (IF) is an important feature for the analysis of non-stationary
signals. However, extracting multiple IF ridges, crossing IF ridges, and discontinuous IF …

This paper introduces a novel localized Gini index (GI) designed for the assessment and
optimization of time-frequency distributions (TFDs). This approach employs the localized …

EEG signal-based sleep stage classification facilitates an initial diagnosis of sleep disorders.
The aim of this study was to compare the efficiency of three methods for feature extraction …

The instantaneous frequency (IF) of a non-stationary signal is usually estimated from a time-
frequency distribution (TFD). The IF of heart rate variability (HRV) is an important parameter …