As a general and rigid mathematical tool, wavelet theory has found many applications and is
constantly develo**. This article reviews the development history of wavelet theory, from …

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 …

Current wavelet thresholding methods for cardiogram signals captured by flexible wearable
sensors face a challenge in achieving both accurate thresholding and real-time signal …

The joint time‐frequency analysis method represents a signal in both time and frequency.
Thus, it provides more information compared to other one‐dimensional methods. Several …

Cardiac arrhythmia is a typically clinical manifestation of cardiovascular disease which leads
to serious health problem. Detection of arrhythmia is traditionally relying on manual …

The potency of the intuitive empirical mode decomposition in conjugation with the efficient
and fast lifting wavelet transform in discarding powerline noise and baseline wander is …

The quality of asymptomatic corona virus disease 2019 (COVID-19) computed tomography
(CT) image is reduced due to interference from Gaussian noise, which affects the …

Steel wire ropes are used for transporting personnel and materials in coal mines. Its quality
directly affects the safety of mining operations, and hence, it is important to accurately …

Real-time monitoring of heartbeat signals using multimode fiber optic microvibration sensing
technology is crucial for diagnosing cardiovascular diseases, but the heartbeat signals are …

This paper presents a channel-wise average pooling and one dimension pixel-shuffle
architecture for a denoising autoencoder (CPDAE) design that can be applied to efficiently …