An electrocardiogram (ECG) records the electrical signal from the heart to check for different
heart conditions, but it is susceptible to noises. ECG signal denoising is a major pre …

Ship radiated noise denoising is the basis and premise of underwater acoustic signal
processing. To obtain better denoising effect, a new denoising method for ship radiated …

This paper presents a novel Electrocardiogram (ECG) denoising approach based on the
generative adversarial network (GAN). Noise is often associated with the ECG signal …

Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …

Recently, more than 80% of sudden cardiac death is caused by arrhythmia, whose
incidence has increased rapidly. In the actual wearable device acquisition process, ECG …

The Electrocardiogram (ECG) signal is one of the frequently used non-invasive
physiological measurement techniques for heart diagnosis. However, ECG signal is often …

Extracting information-bearing signal from a noisy environment has been a practical
challenge in both classical and quantum computing formalism, especially in critical signal …

Understanding the complexity of living systems in both health and disease poses a
substantial challenge in biomedical science. Traditional models and statistical analyses …

Electrocardiogram (ECG) signals are widely used in medical diagnostics to analyze the
electrical activity of the heart. However, in clinical practice, these signals are often …

This research article explores a hybrid strategy that combines an adaptive iterative filtering
(IF) method and the fast discrete lifting-based wavelet transform (LWT) to eliminate power …