The increasing usage of smart wearable devices has made an impact not only on the
lifestyle of the users, but also on biological research and personalized healthcare services …

The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …

According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …

Abstract Machine learning (ML) has emerged as a versatile and powerful tool in various
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …

Effective patient monitoring is vital for timely interventions and improved healthcare
outcomes. Traditional monitoring systems often struggle to handle complex, dynamic …

This paper presents an automatic ECG signal classification system that applied the Deep
Learning (DL) model to classify four types of ECG signals. In the first part of our work, we …

The traditional reactive approach to security and risk management is no longer sufficient in
an increasingly complex and interconnected world. This paper explores the transformative …

According to data from the World Health Organization and medical research centers, the
frequency and severity of various sleep disorders, including insomnia, are increasing …

Prediction and diagnosis of cardiovascular diseases (CVDs) based, among other things, on
medical examinations and patient symptoms are the biggest challenges in medicine. About …

Background As global demographics shift toward an aging population, monitoring their heart
rate becomes essential, a key physiological metric for cardiovascular health. Traditional …