Technology to empower healthy habits

General objective: The design and development of novel devices, systems and services for the monitoring of habits and daily activities and to provide tools to manage optimally habit changing.

Detailed description:

This line is a joint program with the Anschutz Health and Wellness Center (AHWC) at Colorado University, with the participation of AHWC Commercial Ventures LLC, to develop technology and its integration in specific health programs.

Within this research lines it has developed what we have called My Healthy Diet (MHD) platform, a lifestyle management platform integrated within a Social Network fostering the adoption of a balanced diet and a regular eating schedule. Although the MHD platform was developed for wellbeing applications based on food intake and exercise control, other fields as chronic disease management can benefit of these technology. The concept of Internet of Things is the main driving force of this activity.

Another fundamental technology of this research is the use of Social Networks as the main tool to face the habit follow up and changing. With the idea behind that the psychological support that has been proven as one of the main factors to force stable health related habit changes, can be extended and improved notably by means of appropriately used social networks.

A first experimental work is in progress using traditional weekly educational sessions support, one within Denver Obesity Program and two replicating sites in Spain, which will serve as a control cohort against those technology supported by MHD. A description of these program can be seen in Foster-2010[1] and Wyatt-2008 [2]The research is structured in three phases:

Phase 1: Apply network science to the analysis of human interaction within the social networks to optimize obesity control outcomes of the social networks involved.

Phase 2: Integrate within MHD remote monitoring devices; including personal health assistance devices, mostly smart-phones based: non-intrusive, ubiquitous and wearable medical, behavioral and environmental data capture devices.

Phase 3: Exploring the physiological bases to support objectively the intervention processes of the program, associated to the specific stimuli, to induce lifestyle changes in nutrition and physical activity (BETTY project on “brain function of eating behavour”).

The Cloud-based architectures of the platform that support the tasks of knowledge extraction., pattern assessment and habit assessment as well as some of the novel devices for habits and daily activities monitoring.


  • Internet of Things and Social Networks
  • Computational Systems Biology
  • Biomedical Networks
  • Personal Health Care Systems
  • Advanced Applied Mathematics for Biological Systems
  • Cognitive and Computational Neuroscience


 Contact: Antonio Cobo

[1] Foster, Wyatt et al. Weight and Metabolic Outcomes After 2 Years on a Low-Carbohydrate Versus Low-Fat Diet: A Randomized Trial. Ann Intern Med. 2010 August 3; 153(3): 147 – 157 doi: 10.1059/0003-4819-153-3-201008030-00005

[2] Wyatt, Bonnie, et al. Weight Loss in a Community Initiative That Promotes Decreased Energy Intake and Increased Physical Activity and Dairy Consumption: Calcium Weighs-In. Journal of Physical Activity and Health, 2008, 5, 28 – 44.


PROYECTO. PS09/02682
Título de Proyecto: TRAINUTRI
Proyecto Cofinanciado Por FEDER

PROYECTO. TSI-090100-2011-133
Título de Proyecto: Plataforma de contenidos para la rehabilitación y ocio saludable de mayores
Proyecto Cofinanciado por el Ministerio de Industria, Energía y Turismo dentro del Plan Nacional de Investigación Científica, Desarrollo e Innovación Tecnológica 2008-2011

Centro de Tecnología Biomédica. CTB. UPM Campus de Montegancedo. Teléfono: +34 91 067 92 50

Coordenadas Geográficas. Grados. * N 40º 24′ 23.76″ * W 3º 50′ 1.32″ Decimales. * N 40.4066 * W 3.8337