Cloud platforms for IoE healthcare context awareness and knowledge sharing

Abstract

Due to the growing in elderly population, research in healthcare monitoring and ambient assisted living technology is crucial to provide improved care while at the same time contain healthcare costs. Although the number of healthcare sensors are increasing as part of the Internet of everything growth, there is no robust system so as to act as a bridge between different sensors and systems to facilitate knowledge sharing and empower their detection and prediction capabilities. These systems cannot use the data and knowledge of other similar systems due to the complexity involved in sharing data between them. Storing the information is also a challenge due to a high volume of sensor data generated by each sensor. However, state-of-the-art cloud platforms can provide services to developers to leverage the previously processed similar data and the corresponding detected symptoms. Cloud-based platforms such as HEAL and CoCaMAAL can provide services for input sensors, Internet of Everything devices and processes, and context providers all at the same time. The ultimate goal of these systems is to bridge the gap between symptoms and diagnosis trend data in order to accurately and quickly predict health anomalies.