Background The application of artificial intelligence (AI) opens an interesting perspective for
predicting injury risk and performance in team sports. A better understanding of the …

Abstract Context: Digital Health (DH) is widely considered essential for sustainable future
healthcare systems. Software quality, particularly usability, is crucial for the success and …

Secondary prevention of cardiovascular disease (CVD), the leading cause of morbidity and
mortality, is critical to improving health outcomes and quality of life in our aging population …

Background: Physical activity reduces the incidences of noncommunicable diseases,
obesity, and mortality, but an inactive lifestyle is becoming increasingly common. Innovative …

With a view of the post-COVID-19 world and probable future pandemics, this paper presents
an Internet of Things (IoT)-based automated healthcare diagnosis model that employs a …

Objectives To systematically perform a meta-analysis of the scientific literature to determine
whether the outcomes of endurance training based on heart rate variability (HRV) are more …

Virtual online training has emerged as one of the top 20 worldwide fitness trends for 2021
and continues to develop rapidly. Although this allows the cycling community to engage in …

Background Given the severe economic and performance implications of hamstring injuries,
there are different attempts to identify their risk factors for subsequently developing injury …

In this paper, we present PMData: a dataset that combines traditional lifelogging data with
sports-activity data. Our dataset enables the development of novel data analysis and …

Objective Recognizing the high stakes associated with winning and losing in the National
Basketball Association (NBA), a deep understanding of the underlying mechanisms of NBA …