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Updated: May 14, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
M-health system for life-style enhancement: WiFIT
A Zvikhachevskaya1, R Grant, G Kolev
1a.zvikhachevskaya@lancaster.ac.uk
Abstract:
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.
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