Multi-Tier Application Programming with PHP: Practical Guide for Architects and Programmers
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Pro PHP Security (Pro)
Opportunistic medical monitoring using bluetooth P2P networks
WOWMOM '08 Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
Wireless sensor networks for personal health monitoring: Issues and an implementation
Computer Communications
Bluetooth-based approach to monitoring biomedical signals
TELE-INFO'06 Proceedings of the 5th WSEAS international conference on Telecommunications and informatics
Essential Software Architecture
Essential Software Architecture
Guest Editorial Introduction to the Special Section: 4G Health—The Long-Term Evolution of m-Health
IEEE Transactions on Information Technology in Biomedicine
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Presented is a mobile-health m-health system architecture utilizing Bluetooth and web technologies for remote health data acquisition and monitoring. The proposed system aims at improving chronic disease management and diabetes in particular using a combination of existing patients' medical sensors, PDAs and PDAs-related Bluetooth technology. This offers a relatively low-cost solution compared to equivalent customized health data acquisition systems. At the patient end, the health data is acquired serially from the medical sensors and sent to the mobile devices using Bluetooth connectivity. The acquired data are then transmitted to a remote health hub using core IP network. Design and implementation of the Wireless Data Acquisition Module WDAM, wireless connectivity protocols, and architecture of the remote health hub applications are presented in this paper. The distributed nature of the proposed system allows for continuous acquisition and monitoring of patients' data anytime, anywhere and by anyone with modest technological background. Likewise, the patient's health providers can continuously monitor the acquired data of their patients for better disease management. Performance of the developed data acquisition system is assessed experimentally and seamless data acquisition and monitoring have been demonstrated.