Insight into the magnitude of muscle forces is important in biomechanics research, for
example because muscle forces are the main determinants of joint loading. Unfortunately …

Atrial Fibrillation (AF) the most commonly occurring type of cardiac arrhythmia is one of the
main causes of morbidity and mortality worldwide. The timely diagnosis of AF is an equally …

Electrocardiogram (ECG) is a widely employed tool for the analysis of cardiac disorders. A
clean ECG is often desired for proper treatment of cardiac ailments. However, in the real …

In this paper, a nonlinear Bayesian filtering framework is proposed for the filtering of single
channel noisy electrocardiogram (ECG) recordings. The necessary dynamic models of the …

Trunk electromyographic signals (EMG) are often contaminated with heart muscle electrical
activity (ECG) due to the proximity of the collection sites to the heart and the volume …

One of the emerging issues in m-Health is how best to exploit the mobile communications
technologies that are now almost globally available. The challenge is to produce a system to …

Today, the US healthcare industry alone can save $300 B per year by using machine
intelligence to analyze a rich set of existing medical data; results from these analyses can …

Despite the exponential growth in heart rate variability (HRV) research, the reproducibility
and reliability of HRV metrics continues to be debated. We estimated the reliability of 11 …

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 …

Surface electromyograms (EMG) of back muscles are often corrupted by electrocardiogram
(ECG) signals. This noise in the EMG signals does not allow to appreciate correctly the …