[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 …
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
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 …
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
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 …
Things devices is projected to revolutionize healthcare. A network of body-worn sensors …
[HTML][HTML] Internet of things in medicine: A systematic mapping study
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 …
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 …
promising possibilities in biomedical and health care technologies. The current chapter …
Sensors for context-aware smart healthcare: A security perspective
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 …
and faster data networks have propelled environments augmented with contextual and real …
From personalized medicine to population health: a survey of mHealth sensing techniques
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 …
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 …
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 …
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
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 …
lifestyle from the research community, industry, and the public sector. The main intention of …