The growing popularity of smart beds and devices for remote healthcare monitoring is based
on advances in artificial intelligence (AI) applications. This systematic review aims to …

Sleep monitoring has become a prevalent area of research where body position and
physiological data, such as heart rate and respiratory rate, are monitored. Numerous critical …

Sleep pattern and posture recognition have become of great interest for a diverse range of
clinical applications. Autonomous and constant monitoring of sleep postures provides useful …

Surveillance of sleeping posture is essential for bed-ridden patients or individuals at-risk of
falling out of bed. Existing sleep posture monitoring and classification systems may not be …

Emerging sleep health technologies will have an impact on monitoring patients with sleep
disorders. This study proposes a new deep learning model architecture that improves the …

Wireless body area networks have taken their unique recognition in providing consistent
facilities in health monitoring. Several studies influence physiological signal monitoring …

In this paper, contactless monitoring and classification of human activities and sleeping
postures in bed using radio signals is presented. The major contribution of this work is the …

Objetivo Identificar na literatura as gerontecnologias Internet das Coisas desenvolvidas
para prevenção de acidentes por quedas em idosos. Métodos Revisão integrativa …

With the population ages, many patients are unable to receive comprehensive care, leading
to an increase in hazardous incidents, particularly falls occurring after getting out of bed. To …

In order to solve the difficult portability problem of traditional non-invasive sleeping posture
recognition algorithms arising from the production cost and computational cost, this paper …