Fall risk assessment and fall detection are crucial for the prevention of adverse and long-
term health outcomes. Wearable sensor systems have been used to assess fall risk and …

Background Falls are a major health problem for older adults with significant physical and
psychological consequences. A first step of successful fall prevention is to identify those at …

Falling is one of the most serious health risk problems throughout the world for elderly
people. Considerable expenses are allocated for the treatment of after-fall injuries and …

Fall prediction is a multifaceted problem that involves complex interactions between
physiological, behavioral, and environmental factors. Existing fall detection and prediction …

Background Sit-to-stand tests (STST) have recently been developed as easy-to-use field
tests to evaluate exercise tolerance in COPD patients. As several modalities of the test exist …

Background Globally the population of older adults is increasing. It is estimated that by 2050
the number of adults over the age of 60 will represent over 21% of the world's population …

Wearable inertial sensors have been widely investigated for fall risk assessment and
prediction in older adults. However, heterogeneity in published studies in terms of sensor …

Nowadays, it becomes of paramount societal importance to support many frail-prone groups
in our society (elderly, patients with neurodegenerative diseases, etc.) to remain socially and …

Wearable sensors are becoming increasingly popular for complementing classical clinical
assessments of gait deficits. The aim of this review is to examine the existing knowledge by …

Background: Accidental falls remain an important problem in older people. The five-times-sit-
to-stand (5STS) test is commonly used as a functional test to assess fall risk. Recent …