Although autonomic dysfunction (AD) after the recovery from Coronavirus disease 2019
(COVID-19) has been thoroughly described, few data are available regarding the …

Wearable sensors hold profound significance in our increasingly interconnected world,
revolutionizing the way we monitor and manage our health, daily activities, and …

Physiological measures, such as heart rate variability (HRV) and beats per minute (BPM),
can be powerful health indicators of respiratory infections. HRV and BPM can be acquired …

The collection of user attributes by service providers is a double-edged sword. They are
instrumental in driving statistical analysis to train more accurate predictive models like …

In the context of the COVID-19 pandemic, wearable sensors are important for early detection
of critical illness especially in COVID-19 outpatients. We sought to determine in this pilot …

Heart rate variability (HRV) is the fluctuation in the time interval between consecutive
heartbeats, the measurement of which is a non-invasive method for assessing the …

Purposes A meta-analysis was conducted to examine the differences in heart rate variability
(HRV) between depressed patients and healthy individuals, with the purpose of providing a …

We present ARTYCUL (ARTifact popularitY for CULtural heritage), a machine learning (ML)-
based framework that graphically represents the footfall around an artifact on display at a …

The critical infrastructure (CI) of a society are the sixteen entities that facilitate the smooth
daily living of its residents. Due to the crucial functionalities, CI elements are the most …

People with Intellectual Disability (ID) encounter several problems in their daily living
regarding their needs, activities, interrelationships, and communication. In this paper, an …