Health data are being increasingly sensed from the health-based wearable Internet of
Things (IoT) devices, providing much-needed fitness and health tracking. However, data …

Monitoring systems for the early detection of diabetes are essential to avoid potential
expensive medical costs. Currently, only invasive monitoring methods are commercially …

One of the main paradigms of Industry 5.0 is represented by human-robot collaboration
(HRC), which aims to support humans in production processes. However, working entire …

The increase in popularity of different sensors and gadget coming in market (MI HRV band,
apple watch Microsoft band) which capable to observe every activity of heart and its related …

Due to a reduction in reaction time and, consequently, the driver's concentration, driving
when fatigued has become an issue throughout time. Consequently, the likelihood of having …

Cardiac tests generally use an electrocardiograph, the results of which are used by medical
teams to diagnose heart conditions. Individual ECG examination is held in a health care …

In the field of health informatics, extensive research has been conducted to predict diseases
and extract valuable insights from patient data. However, a significant gap exists in …

Drowsiness at the wheel has been studied for different countries since it is important for road
safety and its prevention. Since it is considered a public health problem, solutions must be …

The classifier of support vector machine (SVM) learning for assessing the quality of
arteriovenous fistulae (AVFs) in hemodialysis (HD) patients using a new …

Driver's drowsiness is one of the main causes of traffic accidents. It accounts for up to 20% of
serious or fatal accidents on the roads. In this paper, we propose a novel sensor-based …