Recent advances in sensor technology are expected to lead to a greater use of wireless
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …

Multiple sclerosis (MS) remains a challenging neurological disorder for the clinician in terms
of diagnosis and management. The growing integration of AI-based algorithms in healthcare …

Wearable sensors are used in monitoring patients with neurodegenerative diseases (ND),
such as Parkinson Disease (PD), to collect movement data for the analysis and the …

In recent years, there has been an increased focus on early detection, prevention, and
prediction of diseases. This, together with advances in sensor technology and the Internet of …

Activities of daily living (ADLs) are fundamental routine tasks that the majority of physically
and mentally healthy people can independently execute. In this paper, we present a …

Background The trend of interdisciplinary education is becoming increasingly prominent.
Nursing informatics and nursing engineering have received much attention and …

Semantics play a crucial role in organizing domain knowledge, schematizing it, and
modeling it into classes of objects and relationships between them. Knowledge graphs …

Wearable sensors such as smartwatches have become ubiquitous in recent years, allowing
the easy and continual measurement of physiological parameters such as heart rate …

Human activity recognition (HAR) has made significant progress in recent years, with
growing applications in various domains, and the emergence of wearable and ambient …

The modern world has evolved, accompanied by the huge exploitation of data and
information. Daily, increasing volumes of data from various sources and formats are stored …