[HTML][HTML] Healthcare and the internet of medical things: applications, trends, key challenges, and proposed resolutions

I Al Khatib, A Shamayleh, M Ndiaye - Informatics, 2024 - mdpi.com
In recent years, the Internet of medical things (IoMT) has become a significant technological
advancement in the healthcare sector. This systematic review aims to identify and …

Mapping a decade of smart homes for the elderly in web of science: A scientometric review in citespace

J Liao, X Cui, H Kim - Buildings, 2023 - mdpi.com
Challenges caused by the care of the ageing population in many countries are becoming
increasingly severe. However, high expenditures on healthcare services and the cost of …

[PDF][PDF] Evolutionary Algorithm with Deep Learning based Fall Detection on Internet of Things Environment.

E Akhmetshin, A Nemtsev, R Shichiyakh… - Fusion: Practice & …, 2024 - researchgate.net
Falling is among the most threatening event proficient by the ageing population. There is a
necessity for the development of the fall detection (FD) system with the increasing ageing …

Evaluation of AI tools for healthcare networks at the cloud-edge interaction to diagnose autism in educational environments

Y Pan, A Foroughi - Journal of Cloud Computing, 2024 - Springer
Physical, social, and routine environments can be challenging for learners with autism
spectrum disorder (ASD). ASD is a developmental disorder caused by neurological …

Deep feature fusion with computer vision driven fall detection approach for enhanced assisted living safety

WS Almukadi, F Alrowais, MK Saeed, AE Yahya… - Scientific Reports, 2024 - nature.com
Assisted living facilities cater to the demands of the elderly population, providing assistance
and support with day-to-day activities. Fall detection is fundamental to ensuring their well …

Big Data Analytics for Early Detection and Prevention of Age-Related Diseases in Elderly Healthcare.

MAM Daril, S Qayuum, AF Abbas… - International Journal of …, 2023 - search.ebscohost.com
The exponential growth of the elderly population poses considerable obstacles to
healthcare systems on a global scale, hence requiring the implementation of inventive …

Evaluation of Preferences for a Thermal-Camera-Based Abnormal Situation Detection Service via the Integrated Fuzzy AHP/TOPSIS Model

W Choi, B Jang, I Jung, H Sung, Y Jang - Applied Sciences, 2023 - mdpi.com
Research related to thermal cameras, which are major control measures, is increasing to
overcome the limitations of closed-circuit television (CCTV) images. Thermal cameras have …

Fault detection in electrical equipment by infrared thermography images using spiking neural network through hybrid feature selection

S Chellamuthu, EC Sekaran, S Annamalai… - Journal of Circuits …, 2023 - World Scientific
The Spiking Neural Network (SNN) model is a third-generation neural network model that
uses spike pulse trains to detect and classify electrical problems in the electrical equipment …

[PDF][PDF] Mapping a Decade of Smart Homes for the Elderly in Web of Science: A Scientometric Review in CiteSpace. Buildings 2023, 13, 1581

J Liao, X Cui, H Kim - 2023 - pdfs.semanticscholar.org
Challenges caused by the care of the ageing population in many countries are becoming
increasingly severe. However, high expenditures on healthcare services and the cost of …

Internet of Medical Things (IoMT) Enabled Intelligent System for Chronic Disease Prediction Using Deep Machine Learning in Healthcare 5.0

R Javed, T Abbas, MU Baqir, SA Ramay… - Journal of Computing & …, 2024 - jcbi.org
Accurately diagnosing human diseases is still challenging, even with the advances in
Healthcare 5.0, especially with chronic diseases. The Internet of Medical Things (IoMT) has …