M-health system for life-style enhancement: WiFIT.
In this paper we present a novel m-health system which provides personalized real-time recommendations for life-style enhancement. The system, termed WiFIT, is capable of monitoring a wide range of the a priori defined biometric parameters and generates recommendations for achieving or maintaining the desired health and life-style goals. WiFIT is designed as an open platform which could be as complex or as simple as required for a particular application. Its key components include secure wireless broadband links, personal area body area sensory network, and an interactive data base with built-in prediction algorithms. The paper describes the WiFIT architecture and outlines system performance for certain case studies.
a.zvikhachevskaya@lancaster.ac.uk
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Zvikhachevskaya
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Grant
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G
Kolev
D000465:Algorithms; D006801:Humans; D020407:Internet; D008019:Life Style; D017216:Telemedicine / Q000295:instrumentation / Q000379:methods; D059015:Wireless Technology / Q000295:instrumentation*