Thinking eHealth: Empowering for wellbeing with health monitoring systems

Izabella V. Lokshina, Michael R. Bartolacci

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter explains eHealth; discusses experiences, health management strategies, and healthcare models to address overweight and obesity in young population; and focuses on mathematical background of individual health status monitoring system to empower young people to manage their health. The proposed system uses symptoms observed with mobile sensing devices to define individual physical and psychological status. It has flexible logical inference system providing positive psychological influence on young people since full acceptance of recommendations towards healthy lifestyles is reached and correct interpretation is guaranteed. Models and algorithms are developed based on the composition inference rule in fuzzy logic that makes health status identification process faster and obtained results more precise and efficient comparing to traditional identification algorithms.

Original languageEnglish (US)
Title of host publicationStrategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking
PublisherIGI Global
Number of pages23
ISBN (Electronic)9781522581895
ISBN (Print)9781522581888
StatePublished - Feb 22 2019

All Science Journal Classification (ASJC) codes

  • General Engineering
  • General Computer Science


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