Several applications, analysis and visualization of signal demand representation of time-
domain signal in different domains like frequency-domain representation based on Fourier …

Recent advances of Internet of Medical Things have allowed for continuous heart rhythm
monitoring in a comfortable fashion. Single lead Electrocardiograph (ECG) is first collected …

With the popularity of the wireless body sensor network, real-time and continuous collection
of single-lead electrocardiogram (ECG) data becomes possible in a convenient way. Data …

Health care in developing countries demands systems-based screening solutions. In view of
this, we present a new rhythm-based methodology for the point-of-care diagnosis of cardiac …

Objective: Detecting atrial fibrillation (AF) from electrocardiogram (ECG) recordings remains
a challenging task. In this paper, a new AF detection method was proposed to classify the …

Background Atrial fibrillation (AFib) is the most common cardiac arrhythmia associated with
stroke, blood clots, heart failure, coronary artery disease, and/or death. Multiple methods …

Objective. The availability of online electrocardiogram (ECG) repositories can aid
researchers in developing automated cardiac abnormality diagnostic systems. Using such …

Wearable signal analysis is an important technology for monitoring physiological signals
without interfering with an individual's daily behavior. As detecting cardiovascular diseases …

During the past few years, the introduction of a new communication paradigm known as the
Internet of Things (IoT) has revolutionized sectors such as manufacturing, transportation …

Atrial fibrillation (AF) is an common arrhythmia. The incidence of AF has been increasing
with the acceleration of urbanization and social aging. Therefore, the wearable ECG …