[HTML][HTML] Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review

J Chaki, ST Ganesh, SK Cidham… - Journal of King Saud …, 2022 - Elsevier
Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …

The Internet of Robotic Things: A review of concept, added value and applications

P Simoens, M Dragone… - International Journal of …, 2018 - journals.sagepub.com
The Internet of Robotic Things is an emerging vision that brings together pervasive sensors
and objects with robotic and autonomous systems. This survey examines how the merger of …

A survey of healthcare Internet of Things (HIoT): A clinical perspective

H Habibzadeh, K Dinesh, OR Shishvan… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
In combination with current sociological trends, the maturing development of Internet of
Things devices is projected to revolutionize healthcare. A network of body-worn sensors …

[HTML][HTML] Internet of things in medicine: A systematic mapping study

F Sadoughi, A Behmanesh, N Sayfouri - Journal of biomedical informatics, 2020 - Elsevier
Context The current studies on IoT in healthcare have reviewed the uses of this technology
in a combination of healthcare domains, including nursing, rehabilitation sciences, ambient …

Emerging trends in IoT and big data analytics for biomedical and health care technologies

A Banerjee, C Chakraborty, A Kumar… - Handbook of data science …, 2020 - Elsevier
The recent revolutions in Internet of Things (IoT) and big data analytics have unlocked
promising possibilities in biomedical and health care technologies. The current chapter …

Sensors for context-aware smart healthcare: A security perspective

E Batista, MA Moncusi, P López-Aguilar… - Sensors, 2021 - mdpi.com
The advances in the miniaturisation of electronic devices and the deployment of cheaper
and faster data networks have propelled environments augmented with contextual and real …

From personalized medicine to population health: a survey of mHealth sensing techniques

Z Wang, H Xiong, J Zhang, S Yang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …

Landscape of architecture and design patterns for iot systems

H Washizaki, S Ogata, A Hazeyama… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Due to the widespread proliferation of today's Internet of Things (IoT), a system designer
needs the IoT system and software design patterns to assist in designing scalable and …

Cross-modal stream scheduling for eHealth

L Zhou, D Wu, X Wei, J Chen - IEEE Journal on Selected Areas …, 2020 - ieeexplore.ieee.org
Cross-modal applications that elaborately integrate audio, video, and haptic streams will
become the mainstream of the eHealth systems. However, existing stream schedulers …

A review on the immediate advancement of the Internet of Things in wireless telecommunications

KBA Bakar, FT Zuhra, B Isyaku, SB Sulaiman - IEEE Access, 2023 - ieeexplore.ieee.org
Internet of Things is emerging as an incredible future technology to improve the existing
lifestyle from the research community, industry, and the public sector. The main intention of …