Mental load has an important effect on the efficiency and reliability of human–machine
systems. This study discussed in this paper looked at the heart rate variability (HRV) signal …

Heart Attacks are the major cause of death in the world today, particularly in India. The need
to predict this is a major necessity for improving the country's healthcare sector. Accurate …

ECGs are important biomedical signals, which are reflective of an electric activity of the
heart. They form a subject of intensive research for over 100 years. ECG signals are one of …

Automatic detection of cardiac abnormalities in early stage is a popular area of research for
decades. In this work a novel algorithm for detection of cardiac arrhythmia is proposed using …

This work analyzes and attempts to enhance the accuracy and reproducibility of parametric
modeling in the discrete cosine transform (DCT) domain for the estimation of abnormal intra …

A wearable cardiopulmonary monitoring system, a LifeShirt reg, was used to acquire
continuous electrocardiograms (ECGs) from ambulatory swine. The animals received …

Instead of extracting the abnormal intra-QRS potentials (AIQP) waveform, this study
proposes the analysis of the unpredictable intra-QRS potentials (UIQP) based on an …

This study proposes a finite-impulse-response (FIR) prediction model to analyze the
unpredictable intra-QRS potentials (UIQP) for identifying ventricular tachycardia patients …

Fetal and early child development are often conceptualized as a “black box,” in which
children simply learn by soaking up information, much like a sponge and water …

The detection of extremely low-amplitude and high-frequency abnormal intra-QRS potentials
(AIQP) in signal-averaged electrocardiograms is a potential technique to improve the …