[HTML][HTML] Optimization of resources in intelligent electronic health systems based on Internet of Things to predict heart diseases via artificial neural network

Y Liao, Z Tang, K Gao, M Trik�- Heliyon, 2024 - cell.com
As a paradigm shift in tandem with the expansion of ICT, smart electronic health systems
hold great promise for enhancing healthcare delivery and illness prevention efforts. These�…

Global prevalence and incidence of Young Onset Parkinson's disease: A systematic review and meta-analysis

F Nabizadeh, H Seyedmirzaei, N Rafiei…�- Journal of Clinical�…, 2024 - Elsevier
Background There is a lack of enough evidence regarding the epidemiology of Young-onset
Parkinson's disease (YOPD) which is needed by clinicians and healthcare policymakers�…

[HTML][HTML] Wireless-based portable device heart rate measurement as biomedical devices for stress detection

C Kuncoro, A Efendi, WJ Luo, MM Sakanti…�- AIP Advances, 2024 - pubs.aip.org
Stress can increase the heart rate, causing dangerous conditions that cause significant harm
and even death. Therefore, managing stress well to control the heart rate is vital. Monitoring�…

Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno–Weber triangular norms in a dual hesitant�…

T Senapati, A Sarkar, G Chen�- Engineering Applications of Artificial�…, 2024 - Elsevier
The healthcare industry faces numerous challenges in managing its supply chain efficiently,
where critical decisions must be made promptly to ensure the availability of essential�…

[HTML][HTML] Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework

ST Ahmed, TR Mahesh, E Srividhya…�- BMC Medical�…, 2024 - Springer
Abstract Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the
realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices�…

Emotion analysis and recognition in 3D space using classifier-dependent feature selection in response to tactile enhanced audio–visual content using EEG

A Raheel�- Computers in Biology and Medicine, 2024 - Elsevier
Traditional media such as text, images, audio, and video primarily target specific senses like
vision and hearing. In contrast, multiple sensorial media aims to create immersive�…

[HTML][HTML] A comprehensive study on unraveling the advances of immersive technologies (VR/AR/MR/XR) in the healthcare sector during the COVID-19: Challenges�…

HU Khan, Y Ali, F Khan, MA Al-antari�- Heliyon, 2024 - cell.com
The current COVID-19 pandemic has affected almost every aspect of life but its impact on
the healthcare landscape is conspicuously adverse. However, digital technologies played a�…

Converging Technologies for Health Prediction and Intrusion Detection in Internet of Healthcare Things with Matrix-Valued Neural Coordinated Federated Intelligence

SA Alzakari, A Sarkar, MZ Khan, AA Alhussan�- IEEE Access, 2024 - ieeexplore.ieee.org
This paper introduces Matrix-Valued Neural Coordinated Federated Deep Extreme Machine
Learning, a novel approach for enhancing health prediction and intrusion detection on the�…

6G Wireless with Cyber Care and Artificial Intelligence for Patient Data Prediction

A Alshammari, N Innab, HM Zayani, M Shutaywi…�- Wireless Personal�…, 2024 - Springer
The Traditional hospital manual-centric focused model has been replaced with the
decentralised patient-centric approach in recent data processing models. The advent of the�…

Fingertip Video Dataset for Non-invasive Diagnosis of Anemia using ResNet-18 Classifier

H Sabir, KU Khan, O Ishaq, A Alazeb, H Aljuaid…�- IEEE�…, 2024 - ieeexplore.ieee.org
Hemoglobin is the iron containing protein in red blood cells which carries oxygen from lungs
to rest of the body tissues. Accurate measurement of hemoglobin is essential for diagnosing�…