Accurate detection of key components in an electrocardiogram (ECG) plays a vital role in
identifying cardiovascular diseases. In this work, we proposed a novel and lightweight P …

Arrhythmia is a kind of cardiac conduction disorder those result in irregular heartbeats. The
electrocardiograph (ECG) signal may identify conduction system abnormalities. However, its …

QRS-complex detection is a primitive step in the detection of cardiac disorder using
electrocardiogram (ECG). Abnormal and varying peaks, baseline wander and other noise …

The challenge of noncontact presentation of human cardiopulmonary activity using a
bioradar sensor is to linearly demodulate the Doppler cardiopulmonary diagram (DCD) …

Electrocardiogram (ECG) diagnosis clinical mainly depends on the amplitude, shape, and
duration of the characteristic waves (CW). However, they are often difficult to obtain for the …

Abnormality detection of Electrocardiogram (ECG) is a typical multi-label classification
problem, which is often tackled by training a binary classifier for every abnormality …

Detection of QRS-complex in the electrocardiogram (ECG) plays a decisive role in cardiac
disorder detection. We face many challenges in terms of powerline interference, baseline …

In this paper, a computationally efficient, highly accurate, wideband, stable, and minimum
phase infinite impulse response type first‐order digital differentiator (DD) is designed by …

Combination of interval and amplitude threshold-based algorithms have been tested
rigorously over the last few decades for detecting the QRS-complexes in electrocardiogram …

This paper studies some of the closure properties namely, homomorphism, inverse
homomorphism, quotient and reversal of lattice languages. The appropriate tools to …