Single-lead wearable electrocardiographic (ECG) devices for remote monitoring are
emerging as critical components of the viability of long-term continuous health and wellness …

Accurate energy load forecasting can not only provide favorable conditions for ensuring
energy security but also reduce carbon emissions and thereby slow down the process of …

The signal of rotating machinery is usually non-stationary, non-linear, and with noise
interference. The early fault signal is too weak to extract fault features and the accuracy …

Background and objective Electrocardiogram (ECG) is widely used for the detection and
diagnosis of cardiac arrhythmias such as atrial fibrillation. Most of the computer-based …

This review systematically analyzes the latest advancements in preprocessing techniques
for Electrocardiography (ECG) and Magnetocardiography (MCG) signals over the past …

A new algorithm for denoising ECG data contaminated by wideband noise is proposed in
this paper. In the proposed algorithm, a clean ECG data is modeled as a combination of …

Background: Portable electroencephalogram (EEG) systems are often used in health care
applications to record brain signals because their ease of use. An electrooculogram (EOG) …

Aims Electrocardiogram (ECG) interpretation is an essential skill across multiple medical
disciplines; yet, studies have consistently identified deficiencies in the interpretive …

Recently, the use of portable electroencephalogram (EEG) devices to record brain signals in
both health care monitoring and in other applications, such as fatigue detection in drivers …

Due to high-frequency noise and low-frequency noise in ECG signals will interfere with the
accurate diagnosis of cardiovascular diseases. With the intrinsic mode function (IMF), which …