Ischemic heart disease is the highest cause of mortality globally each year. This puts a
massive strain not only on the lives of those affected, but also on the public healthcare …

Remote Photoplethysmography (rPPG) is a fast, effective, inexpensive and convenient
method for collecting biometric data as it enables vital signs estimation using face videos …

Methods of estimating heart rate without the use of sensor devices provides essential
benefits in both the medical field as well as the other computing applications. Smartphones …

Heart disease is the leading cause of mortality worldwide, and it is of utmost importance that
clinicians and researchers understand the dynamics of the heart. As an electrical measure of …

Psychological and behavioral evidence suggests that home sports activity reduces negative
moods and anxiety during lockdown days of COVID‐19. Low‐cost, nonintrusive, and privacy …

Respiratory diseases, like Asthma, COPD, have been a significant public health challenge
over decades. Portable spirometers are effective in continuous monitoring of respiratory …

Human activity recognition helps identify the activity of a person based on data provided by
sensors. The wireless wearable sensors provide robust techniques for data collection and …

Continuous monitoring of vital signs such as respiration and heart rate is essential to detect
and predict conditions that may affect the patient's well‐being. To detect these vital signs …

This thesis explores two lines of research in the context of sequential data and machine
learning in the remote environment, ie, outside the lab setting-using data acquired from …

Children activity recognition (CAR) is a subject for which numerous works have been
developed in recent years, most of them focused on monitoring and safety. Commonly, these …