Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …

About 160 years ago, the concept of entropy was introduced in thermodynamics by Rudolf
Clausius. Since then, it has been continually extended, interpreted, and applied by …

Epilepsy, a brain disease generally associated with seizures, has tremendous effects on
people's quality of life. Diagnosis of epileptic seizures is commonly performed on …

An increasing number of studies across many research fields from biomedical engineering
to finance are employing measures of entropy to quantify the regularity, variability or …

Background and objective Electrocardiogram (ECG) is a useful tool for detecting heart
disease. Automated ECG diagnosis allows for heart monitoring on small devices, especially …

Abstract Parkinson's disease (PD), a neurodegenerative disorder characterized by rest
tremors, muscular rigidity, and bradykinesia, has become a global health concern. Currently …

Classification of interbeat interval time-series which fluctuates in an irregular and complex
manner is very challenging. Typically, entropy methods are employed to quantify the …

The development of new measures and algorithms to quantify the entropy or related
concepts of a data series is a continuous effort that has brought many innovations in this …

Bolted connections are prone to losing their preloads with the increasing service life, thus
inducing engineering accidents and economic losses in industries. Therefore, it is important …

Precise blood pressure (BP) estimation is vital for diagnosing arterial hypertension and other
cardiovascular ailments. The photoplethysmogram (PPG)-based cuff-less BP measurement …