Wearable biosensors for healthcare monitoring
Wearable biosensors are garnering substantial interest due to their potential to provide
continuous, real-time physiological information via dynamic, noninvasive measurements of …
continuous, real-time physiological information via dynamic, noninvasive measurements of …
A comprehensive survey on coded distributed computing: Fundamentals, challenges, and networking applications
Distributed computing has become a common approach for large-scale computation tasks
due to benefits such as high reliability, scalability, computation speed, and cost …
due to benefits such as high reliability, scalability, computation speed, and cost …
Task scheduling based on a hybrid heuristic algorithm for smart production line with fog computing
J Wang, D Li - Sensors, 2019 - mdpi.com
Fog computing provides computation, storage and network services for smart manufacturing.
However, in a smart factory, the task requests, terminal devices and fog nodes have very …
However, in a smart factory, the task requests, terminal devices and fog nodes have very …
A novel low-latency and energy-efficient task scheduling framework for internet of medical things in an edge fog cloud system
In healthcare, there are rapid emergency response systems that necessitate real-time
actions where speed and efficiency are critical; this may suffer as a result of cloud latency …
actions where speed and efficiency are critical; this may suffer as a result of cloud latency …
A survey of heart anomaly detection using ambulatory electrocardiogram (ECG)
H Li, P Boulanger - Sensors, 2020 - mdpi.com
Cardiovascular diseases (CVDs) are the number one cause of death globally. An estimated
17.9 million people die from CVDs each year, representing 31% of all global deaths. Most …
17.9 million people die from CVDs each year, representing 31% of all global deaths. Most …
Anomaly detection framework for wearables data: a perspective review on data concepts, data analysis algorithms and prospects
Wearable devices use sensors to evaluate physiological parameters, such as the heart rate,
pulse rate, number of steps taken, body fat and diet. The continuous monitoring of …
pulse rate, number of steps taken, body fat and diet. The continuous monitoring of …
Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing
Big data has revolutionized the world by providing tremendous opportunities for a variety of
applications. It contains a gigantic amount of data, especially a plethora of data types that …
applications. It contains a gigantic amount of data, especially a plethora of data types that …
IoT in healthcare: Achieving interoperability of high-quality data acquired by IoT medical devices
It is an undeniable fact that Internet of Things (IoT) technologies have become a milestone
advancement in the digital healthcare domain, since the number of IoT medical devices is …
advancement in the digital healthcare domain, since the number of IoT medical devices is …
Utilization and load balancing in fog servers for health applications
With the evolution of fog computing, processing takes place locally in a virtual platform rather
than in a centralized cloud server. Fog computing combined with cloud computing is more …
than in a centralized cloud server. Fog computing combined with cloud computing is more …
[PDF][PDF] Medical data processing and analysis for remote health and activities monitoring
Recent developments in sensor technology, wearable computing, Internet of Things (IoT),
and wireless communication have given rise to research in ubiquitous healthcare and …
and wireless communication have given rise to research in ubiquitous healthcare and …