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 …

Accidental fall is one of the most prevalent causes of loss of autonomy, deaths and injuries
among the elderly people. Fall detection and rescue systems with the advancement of …

Healthcare monitoring system in hospitals and many other health centers has experienced
significant growth, and portable healthcare monitoring systems with emerging technologies …

Abstract Novel coronavirus (COVID-19 or 2019-nCoV) pandemic has neither clinically
proven vaccine nor drugs; however, its patients are recovering with the aid of antibiotic …

Monitoring and managing potential infected patients of COVID-19 is still a great challenge
for the latest technologies. In this work, IoT based wearable monitoring device is designed to …

The electroencephalogram (EEG) has been commonly used to identify epileptic seizures,
but identification of seizures from EEG remains a challenging task that requires qualified …

Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …

Fatal falls from heights accidents represent a threat to any industry's development and
progress. It is crucial to understand how these accidents evolve from a simple 'near miss …

Purpose The paper is to study a review of the employment of deep learning (DL) techniques
inside the healthcare sector, together with the highlight of the strength and shortcomings of …

Fall is a major threat to the health and life of the elders. A Fall Detection System (FDS) assist
the elders by identifying the fall and save their life. Machine Learning‐(ML) based FDS has …