[HTML][HTML] Integrating digital technologies and public health to fight Covid-19 pandemic: key technologies, applications, challenges and outlook of digital healthcare
Integration of digital technologies and public health (or digital healthcare) helps us to fight
the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health …
the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health …
Recent progress on flexible and stretchable piezoresistive strain sensors: From design to application
L Duan, DR D'hooge, L Cardon - Progress in Materials Science, 2020 - Elsevier
Flexible and stretchable piezoresistive strain sensors which can translate mechanical stimuli
(strain changes) into electrical signals (resistance changes) provide a simple and feasible …
(strain changes) into electrical signals (resistance changes) provide a simple and feasible …
Disease prediction by machine learning over big data from healthcare communities
With big data growth in biomedical and healthcare communities, accurate analysis of
medical data benefits early disease detection, patient care, and community services …
medical data benefits early disease detection, patient care, and community services …
A systematic design approach for service innovation of smart product-service systems
Recent development and implementation of advanced information and communication
technologies (ICT)(eg Internet-of-Things (IoT), Cyber-Physical System (CPS)) has triggered …
technologies (ICT)(eg Internet-of-Things (IoT), Cyber-Physical System (CPS)) has triggered …
[HTML][HTML] Wearable devices in medical internet of things: scientific research and commercially available devices
Objectives Wearable devices are currently at the heart of just about every discussion related
to the Internet of Things. The requirement for self-health monitoring and preventive medicine …
to the Internet of Things. The requirement for self-health monitoring and preventive medicine …
Deep feature learning for medical image analysis with convolutional autoencoder neural network
At present, computed tomography (CT) is widely used to assist disease diagnosis.
Especially, computer aided diagnosis (CAD) based on artificial intelligence (AI) recently …
Especially, computer aided diagnosis (CAD) based on artificial intelligence (AI) recently …
Smart cities survey: Technologies, application domains and challenges for the cities of the future
R Sánchez-Corcuera… - International …, 2019 - journals.sagepub.com
The introduction of the Information and Communication Technologies throughout the last
decades has created a trend of providing daily objects with smartness, aiming to make …
decades has created a trend of providing daily objects with smartness, aiming to make …
[HTML][HTML] Analysis of factors affecting IoT-based smart hospital design
Currently, rapidly developing digital technological innovations affect and change the
integrated information management processes of all sectors. The high efficiency of these …
integrated information management processes of all sectors. The high efficiency of these …
[HTML][HTML] Towards the Internet of smart clothing: A review on IoT wearables and garments for creating intelligent connected e-textiles
TM Fernández-Caramés, P Fraga-Lamas - Electronics, 2018 - mdpi.com
Technology has become ubiquitous, it is all around us and is becoming part of us. Together
with the rise of the Internet of Things (IoT) paradigm and enabling technologies (eg …
with the rise of the Internet of Things (IoT) paradigm and enabling technologies (eg …
[HTML][HTML] An internet-of-things (IoT) network system for connected safety and health monitoring applications
This paper presents a hybrid wearable sensor network system towards the Internet of Things
(IoT) connected safety and health monitoring applications. The system is aimed at improving …
(IoT) connected safety and health monitoring applications. The system is aimed at improving …