[HTML][HTML] Integrating digital technologies and public health to fight Covid-19 pandemic: key technologies, applications, challenges and outlook of digital healthcare

Q Wang, M Su, M Zhang, R Li - International Journal of Environmental …, 2021 - mdpi.com
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 …

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 …

Disease prediction by machine learning over big data from healthcare communities

M Chen, Y Hao, K Hwang, L Wang, L Wang - Ieee Access, 2017 - ieeexplore.ieee.org
With big data growth in biomedical and healthcare communities, accurate analysis of
medical data benefits early disease detection, patient care, and community services …

A systematic design approach for service innovation of smart product-service systems

P Zheng, TJ Lin, CH Chen, X Xu - Journal of cleaner production, 2018 - Elsevier
Recent development and implementation of advanced information and communication
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

M Haghi, K Thurow, R Stoll - Healthcare informatics research, 2017 - synapse.koreamed.org
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 …

[HTML][HTML] Analysis of factors affecting IoT-based smart hospital design

BÇ Uslu, E Okay, E Dursun - Journal of Cloud Computing, 2020 - Springer
Currently, rapidly developing digital technological innovations affect and change the
integrated information management processes of all sectors. The high efficiency of these …

Deep feature learning for medical image analysis with convolutional autoencoder neural network

M Chen, X Shi, Y Zhang, D Wu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
At present, computed tomography (CT) is widely used to assist disease diagnosis.
Especially, computer aided diagnosis (CAD) based on artificial intelligence (AI) recently …

Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation

C Prakash, LP Singh, A Gupta, SK Lohan - Sensors and Actuators A …, 2023 - Elsevier
Agriculture automation is a primary issue and a rapidly developing field for the nation. The
global population is growing swiftly, so there is a severe need to fulfill food demand …

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 …

[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 …