Intelligent Health Monitoring Based on Pervasive Technologies and Cloud Computing

作     者：Maglogiannis, Ilias Doukas, Charalampos 

作者机构：Univ Piraeus Dept Digital Syst Grigoriou Lampraki 12618532 Piraeus Greece Univ Aegean Dept Informat & Commun Syst Engn GR-83200 Karlovasi Samos Greece 

出 版 物：《INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS》 (国际人工智能工具杂志)

年 卷 期：2014年第23卷第3期

页      面：1460001-1460001页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：European Union (European Social Fund ESF) Greek national funds through the Operational Program "Education and Lifelong Learning" of the National Strategic Reference Framework (NSRF) Affective Computing for Biological Activity Recognition in Assistive Environments 

主　　题：Patient monitoring wearable sensors sensor data management motion classification cloud computing 

摘      要：The proper management of patient data and their accessibility are still remaining issues that prevent the full deployment and usage of pervasive healthcare applications. This paper presents an integrated health monitoring system based on mobile pervasive technologies. The system utilizes Cloud Computing for providing robust and scalable resources for sensor data acquisition, management and communication with external applications like health information systems. A prototype has been developed using both mobile and wearable sensors for demonstrating the usability of the proposed platform. Initial results regarding the performance of the system, the efficiency in data management and user acceptability have been quite promising.