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.