Digital Twin (DT) in Healthcare 4.0 (H4. 0) presents a digital model of the patient with all its
biological properties and characteristics. One of the application areas is patient respiration …

Rolling bearings are widely used in the rotating machinery. The fault types and fault feature
frequencies are usually unknown when rolling bearings fail in the engineering applications …

Ballistocardiograph (BCG) stands out as a noncontact technology for heart monitoring,
offering a wealth of cardiovascular parameter information. Its applications have …

Non-invasive monitoring of physiological signals during physical exercise is essential to
customize the exercise module. Photoplethysmography (PPG) signal has often been used to …

Induction motors are the most widespread motors in industry, constituting more than 85% of
all industry motors. Broken rotor bars are one of the most common faults in squirrel cage …

Unobtrusive and continuous monitoring of vital signs is becoming more and more important
both for patient monitoring in the home environment and for sports activity tracking. Even …

This paper proposes a novel scheme of feature selection, which employs a modified genetic
algorithm that uses a variable-range searching strategy and empirical mode decomposition …

Impedance plethysmography is a technique that allows monitoring changes in the volume of
specific tissues or organs inside the human body, through the measurement of variations in …

The paper proposes a new methodology of machine fault detection for industrial gas turbine
(IGT) systems. The integrated use of empirical mode decomposition (EMD), principal …

This paper investigates three complexity measures namely, refined composite multiscale
sample entropy (RCMSE), refined composite multiscale fuzzy entropy (RCMFE), and refined …