2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) (2017)
July 4, 2017 to July 8, 2017
Fog computing is considered as the most promising enhancement of the traditional cloud computing paradigm in order to handle potential issues introduced by the emerging Interned of Things (IoT) framework at the network edge. The heterogeneous nature, the extensive distribution and the hefty number of deployed IoT nodes will disrupt existing functional models, creating confusion. However, IoT will facilitate the rise of new applications, with automated healthcare monitoring platforms being amongst them. This paper presents the pillars of design for such applications, along with the evaluation of a working prototype that collects ECG traces from a tailor-made device and utilizes the patient's smartphone as a Fog gateway for securely sharing them to other authorized entities. This prototype will allow patients to share information to their physicians, monitor their health status independently and notify the authorities rapidly in emergency situations. Historical data will also be available for further analysis, towards identifying patterns that may improve medical diagnoses in the foreseeable future.
Medical services, Cloud computing, Monitoring, Edge computing, Biomedical monitoring, Sensors, Prototypes
O. Akrivopoulos, I. Chatzigiannakis, C. Tselios and A. Antoniou, "On the Deployment of Healthcare Applications over Fog Computing Infrastructure," 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), Turin, Italy, 2017, pp. 288-293.