Intelligent digital twins for personalized migraine care

P Gazerani - Journal of Personalized Medicine, 2023 - mdpi.com
Intelligent digital twins closely resemble their real-life counterparts. In health and medical
care, they enable the real-time monitoring of patients, whereby large amounts of data can be …

Deep learning-based IoT system for remote monitoring and early detection of health issues in real-time

MR Islam, MM Kabir, MF Mridha, S Alfarhood, M Safran… - Sensors, 2023 - mdpi.com
With an aging population and increased chronic diseases, remote health monitoring has
become critical to improving patient care and reducing healthcare costs. The Internet of …

Deep learning applications in ecg analysis and disease detection: An investigation study of recent advances

U Sumalatha, KK Prakasha, S Prabhu… - IEEE Access, 2024 - ieeexplore.ieee.org
Effective cardiovascular health monitoring relies on precise electrocardiogram (ECG)
analysis for early diagnosis and treatment of heart conditions. Recent advancements in …

[HTML][HTML] Classification of Alzheimer's disease using MRI data based on Deep Learning Techniques

SE Sorour, AA Abd El-Mageed, KM Albarrak… - Journal of King Saud …, 2024 - Elsevier
Alzheimer's Disease (AD) is a worldwide concern impacting millions of people, with no
effective treatment known to date. Unlike cancer, which has seen improvement in preventing …

Securing data and preserving privacy in cloud IoT-based technologies an analysis of assessing threats and developing effective safeguard

M Pathak, KN Mishra, SP Singh - Artificial Intelligence Review, 2024 - Springer
Abstract The Internet of Things (IoT) is a powerful technology adopted in various industries.
Applications of the IoT aim to enhance automation, productivity, and user comfort in a cloud …

The convergence of cutting-edge technologies: leveraging AI and edge computing to transform the internet of medical things (IoMT)

R Punugoti, N Vyas, AT Siddiqui… - 2023 4th International …, 2023 - ieeexplore.ieee.org
This research used a wearable sensor to gather photoplethysmography (PPG) signals from
15 healthy subjects. The dataset includes 7,308 PPG segments, each containing 8 seconds …

Applications of fog computing in healthcare

N Jeyaraman, M Jeyaraman, S Yadav… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Fog computing is a decentralized computing infrastructure that processes data at or near its
source, reducing latency and bandwidth usage. This technology is gaining traction in …

Machine Learning for Smart Healthcare Management Using IoT

Y Yigit, K Duran, N Moradpoor, L Maglaras… - IoT and ML for …, 2024 - Springer
This chapter explores the significant impact of Machine Learning (ML) and the Internet of
Things (IoT) on smart healthcare management, marking a new era of innovation with …

A hybrid deep learning–based remote monitoring healthcare system using wearable devices

D Srivastava, R Krishnamoorthy… - 5G-Based Smart …, 2023 - taylorfrancis.com
Athletes who push their bodies to the limit need to be in tip-top shape to compete. Before
engaging in strenuous activity or competition, they should focus on building a healthy body …

[HTML][HTML] Edge computing in future wireless networks: A comprehensive evaluation and vision for 6G and beyond

M Ergen, B Saoud, I Shayea, AA El-Saleh, O Ergen… - ICT Express, 2024 - Elsevier
Future internet aims to function as a neutral in-network storage and computation platform,
essential for enabling 6G and beyond wireless use cases. Information-Centric Networking …