Results 41 to 50 of about 3,780,407 (293)
A Longitudinal Examination of Post-COVID-19 Mortality in Residents in Long-Term Care Homes
The most adverse outcomes of the COVID-19 pandemic include high post-infection mortality among long-term care (LTC) home residents. Research about mortality over a longer period after contracting COVID-19 and in different pandemic years is limited.
Gordana Rajlic PhD +2 more
doaj +1 more source
A review on video-based active and assisted living technologies for automated lifelogging
Providing support for ageing and frail populations to extend their personal autonomy is desirable for their well-being as it is for the society at large, since it can ease the economic and social challenges caused by ever-ageing developed societies ...
P. Climent-Pérez +3 more
semanticscholar +1 more source
Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia +7 more
wiley +1 more source
Background Within long-term care (LTC) homes, telehealth use has been found to reduce unnecessary emergency department transfers, support the care needs of rural and underserved communities, and supplement in-person physician care. Despite these benefits,
Tyler R. Cole +7 more
doaj +1 more source
Validation of the Barthel Index in Chinese nursing home residents: an item response theory analysis
BackgroundThe Barthel Index (BI) is used to standardize the grading of assessments for clinical needs, insurance support, and long-term care resource allocation in China.
Minyu Liang +6 more
doaj +1 more source
A Human Activity Recognition System Based on Dynamic Clustering of Skeleton Data
Human activity recognition is an important area in computer vision, with its wide range of applications including ambient assisted living. In this paper, an activity recognition system based on skeleton data extracted from a depth camera is presented ...
Alessandro Manzi +2 more
doaj +1 more source
Background Wearables and artificial intelligence (AI)–powered digital health platforms that utilize machine learning algorithms can autonomously measure a senior’s change in activity and behavior and may be useful tools for proactive interventions that ...
Gerald Wilmink +6 more
semanticscholar +1 more source
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
Background Early in the COVID-19 pandemic, long-term care (LTC) homes in British Columbia, Canada, restricted visitation to ensure the safety of their residents against transmission of the novel coronavirus.
Tyler R. Cole +7 more
doaj +1 more source
Continuous Distant Measurement of the User’s Heart Rate in Human-Computer Interaction Applications
In real world scenarios, the task of estimating heart rate (HR) using video plethysmography (VPG) methods is difficult because many factors could contaminate the pulse signal (i.e., a subjects’ movement, illumination changes). This article presents
Jaromir Przybyło
doaj +1 more source

