The combination of reducing birth rate and increasing life expectancy continues to drive the
demographic shift toward an aging population. This, in turn, places an ever-increasing …

Cardiac arrhythmia is associated with abnormal electrical activities of the heart, which can
be reflected by altered characteristics of electrocardiogram (ECG). Due to the simplicity and …

Cardiopulmonary and cardiovascular diseases are fatal factors that threaten human health
and cause many deaths worldwide each year, so it is essential to screen cardiopulmonary …

Long-term electrocardiogram (ECG) has become one of the important diagnostic assist
methods in clinical cardiovascular domain. Long-term ECG is primarily used for the …

Background With the aging population and rising healthcare costs, wearable monitoring is
gaining importance. The motion artifact affecting dry electrodes is one of the main …

The standard method for prediction of the absence and presence of pain has long been self-
report. However, for patients with major cognitive or communicative impairments, it would be …

Empirical mode decomposition (EMD) is a powerful algorithm that decomposes signals as a
set of intrinsic mode function (IMF) based on the signal complexity. In this study, partial …

Objective: QRS detection algorithms are needed to analyze electrocardiogram (ECG)
recordings generated in telehealth environments. However, the numerous published QRS …

This work presents an efficient method for motion artifact removal from ambulatory
electrocardiogram (ECG) signal for heart rate variability (HRV) in wearable/portable …

Electrocardiogram (ECG) signals are affected by various kinds of noise and artifacts that
may hide important information of interest. Wavelet transform (WT) technique is used to …