Electrocardiography (ECG) is the most common and extensively used vital sign monitoring
method in modern healthcare systems. Different designs of ambulatory ECG systems were …

Electrocardiogram (ECG) is the most vital biosignal of the body. It contains a variety of
important clinical pieces of information and it is the fastest approach to asses the health …

The mental stress faced by many people in modern society is a factor that causes various
chronic diseases, such as depression, cancer, and cardiovascular disease, according to …

Brain tumor is a life-threatening disease with fast growth rate, which makes its detection a
critical task. However, low contrast and noise content in brain magnetic resonance images …

Early recognition of abnormal rhythms in ECG signals is crucial for monitoring and
diagnosing patients' cardiac conditions, increasing the success rate of the treatment …

This paper deals with new approaches to analyse electrocardiogram (ECG) signals for
extracting useful diagnostic features. Initially, elimination of different types of noise is carried …

In this paper, a non-iterative adaptive median filter is proposed for denoising images
contaminated with impulse noise. The proposed denoising scheme operates in two steps …

Recordings of biological signals such as vibrocardiography often contain contaminating
noise. Noise sources may include respiratory, gastrointestinal, and muscles movement, or …

Seismocardiographic (SCG) signals are the acoustic and vibration induced by cardiac
activity measured non-invasively at the chest surface. These signals may offer a method for …

Brain tumor is a life-threatening disease with a fast growth rate, which makes its detection a
critical task. However, low contrast and high noise content in brain MR images hamper the …