A New Architecture of a Ubiquitous Health Monitoring System: A Prototype Of Cloud Mobile Health Monitoring System
Abderrahim Bourouis, Mohamed Feham, Abdelhamid Bouchachia

TL;DR
This paper presents a prototype of a cloud-based mobile health monitoring system utilizing Wireless Body Area Sensor Networks, smartphones, cloud computing, and neural networks to assess patient health in real-time.
Contribution
It introduces a novel integrated system combining WBASN, cloud computing, and neural networks for real-time health monitoring.
Findings
Successful prototype implementation demonstrated real-time health assessment.
System effectively integrates sensors, cloud, and neural networks for patient monitoring.
Potential to improve independent living through wearable health technology.
Abstract
Wireless Body Area Sensor Networks (WBASN) is an emerging technology which uses wireless sensors to implement real-time wearable health monitoring of patients to enhance independent living. In this paper we propose a prototype of cloud mobile health monitoring system. The system uses WBASN and Smartphone application that uses cloud computing, location data and a neural network to determine the state of patients.
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Taxonomy
TopicsIoT and Edge/Fog Computing · Context-Aware Activity Recognition Systems · Wireless Body Area Networks
