Digital health for aging populations

C Chen, S Ding, J Wang - Nature medicine, 2023 - nature.com
Growing life expectancy poses important societal challenges, placing an increasing burden
on ever more strained health systems. Digital technologies offer tremendous potential for …

Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect

CV Anikwe, HF Nweke, AC Ikegwu… - Expert Systems with …, 2022 - Elsevier
Mobile and wearable devices embedded with multiple sensors for health monitoring and
disease diagnosis are growing fields with the potential to provide efficient means for remote …

A collaborative healthcare framework for shared healthcare plan with ambient intelligence

AR Javed, MU Sarwar, MO Beg, M Asim… - … -centric Computing and …, 2020 - Springer
The fast propagation of the Internet of Things (IoT) devices has driven to the development of
collaborative healthcare frameworks to support the next generation healthcare industry for …

Secure health monitoring communication systems based on IoT and cloud computing for medical emergency applications

AI Siam, MA Almaiah, A Al-Zahrani… - Computational …, 2021 - Wiley Online Library
Smart health surveillance technology has attracted wide attention between patients and
professionals or specialists to provide early detection of critical abnormal situations without …

Smart healthcare in the age of AI: recent advances, challenges, and future prospects

M Nasr, MM Islam, S Shehata, F Karray… - IEEE Access, 2021 - ieeexplore.ieee.org
The significant increase in the number of individuals with chronic ailments (including the
elderly and disabled) has dictated an urgent need for an innovative model for healthcare …

Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions

TA Shaikh, T Rasool, P Verma - Artificial Intelligence in Medicine, 2023 - Elsevier
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …

An ensemble based machine learning model for diabetic retinopathy classification

GT Reddy, S Bhattacharya… - … on emerging trends …, 2020 - ieeexplore.ieee.org
As technology and digitization grows, there is a huge surge in digital storage of health
records. Machine learning has an important role in uncovering patterns existing in these …

ARI: The social assistive robot and companion

S Cooper, A Di Fava, C Vivas… - 2020 29th IEEE …, 2020 - ieeexplore.ieee.org
With the world population aging and the number of healthcare users with multiple chronic
diseases increasing, healthcare is becoming more costly, and as such, the need to optimise …

Challenges of emerging wearable sensors for remote monitoring toward telemedicine healthcare

S Kalasin, W Surareungchai - Analytical chemistry, 2023 - ACS Publications
Digitized telemedicine tools with the Internet of Things (IoT) started advancing into our daily
lives and have been incorporated with commercial wearable gadgets for noninvasive …

Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset

S Bhattacharya, PKR Maddikunta, S Hakak… - Multimedia Tools and …, 2020 - Springer
Stroke is enlisted as one of the leading causes of death and serious disability affecting
millions of human lives across the world with high possibilities of becoming an epidemic in …