Preprocessing electroencephalographic (EEG) signals during computer-mediated Cognitive
Load tasks is crucial in Human-Computer Interaction (HCI). This process significantly …

Electroencephalogram (EEG) signals suffer substantially from motion artifacts even in
ambulatory settings. Signal processing techniques for removing motion artifacts from EEG …

Chest surface vibrations induced by cardiac activities can provide valuable insights into
various heart conditions. Seismocardiogram (SCG) and Gyrocardiogram (GCG) signals …

Abstract Background and Objective Preterm delivery is an important factor in the disease
burden of the newborn and infants worldwide. Electrohysterography (EHG) has become a …

Transcranial doppler (TCD) ultrasound is a non-invasive imaging technique that can be
used for continuous monitoring of blood flow in the brain through the major cerebral arteries …

Cardiovascular diagnostics relies heavily on the ECG (ECG), which reveals significant
information about heart rhythm and function. Despite their significance, traditional ECG …

The Magnetohydrodynamic (MHD) effect on the bloodstream, induced by the static magnetic
field of Magnetic Resonance Imaging (MRI) devices, distorts Electrocardiogram (ECG) …

Abstract Emotion Recognition Systems (ERS) play a pivotal role in facilitating naturalistic
Human-Machine Interactions (HMI). The research has utilized a dataset with diverse …

Electrical and mechanical equipment with rotating parts often face the challenge of early
breakdown due to defects in the gears or rolling bearings. Automated industrial systems can …

Medical image segmentation plays a vital role in various clinical applications, enabling
accurate delineation and analysis of anatomical structures or pathological regions …