[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 …
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 …
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 …
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 …
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 …
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.
The exponential growth of the elderly population poses considerable obstacles to
healthcare systems on a global scale, hence requiring the implementation of inventive …
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 …
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 …
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 …
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
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 …
Healthcare 5.0, especially with chronic diseases. The Internet of Medical Things (IoMT) has …