Research groups

Eurecat´s e-Health Unit (e-Health)

Eurecat's e-Health Unit is specialised in three lines of research: 

  • Integrated Continuous Care (ICC), focuses its activity on the development of telemedicine and telecare systems integrated into the health system, particularly centred on chronic patients and elderly people. For example, the prescription of personalised training plans and the remote monitoring of patients' physical activity.
  • Personalised Computational Medicine (PCM), centres its research on data analysis and the development of mathematical models for use in Clinical Decision Support Systems to improve diagnosis, prognostic and treatment response. Examples include forced spirometry processing and analysis for COPD diagnosis.
  • Biomechanical Functional Valorisation (BFV), is focused on designing computerised models of musculoskeletal systems, biomechanical studies and functional assessment, and programming custom-built biomechanical platforms. An example is the gait analysis of those with illnesses of neurological origin in order to design technical aids that will improve their quality of life.

Main projects

  • 1.


    Synergy-COPD (EU FP7 2011-2014) demonstrated the potential of computational medicine and the focus on computer systems in medicine to increase knowledge and understanding of COPD. With a holistic vision, the most comprehensive computer model in existence was developed in order to simulate the transportation of oxygen to the organism and generate reactive oxygen species. Meanwhile, studies were made into the different factors determining the heterogeneity of COPD and its evolution, while identifying the risks of developing the main comorbidities associated with it, according to the profile of the disease.

  • 2.


    CONNECARE (H2020, 2016-2019) aims to develop a healthcare system for the chronically ill, integrated into the healthcare system of three countries (Catalonia, Israel, Groningen), as well as a decision support system for a dynamic and personalised application of clinical guidelines. Based on this objective, a series of tools will be developed to monitor the state and activity of patients in order to improve their capacity and provide them with recommendations for the self-control of their illness which would improve their quality of life. (expected publication date: August 2016)

  • 3.


    This project improves the diagnostic technique and assessment of those who suffer from “alteration of the sagittal profile”, a spinal illness that prevents those affected from walking straight, diagnosed by taking plain x-rays, which up until now had not taken into account patient gait analysis. The degree of alteration of the sagittal profile causes increased lumbar and lower extremity overload. This study has helped to determine whether there is a cut-off point to help establish more clearly at which point surgery becomes necessary.


Bioinformatics expertise:

Group Leader:

Felip Miralles

Bioinformatics services offered

  • mHealth Backend as a Service

    A service designed to accelerate the development of Apps in the medical sector integrating the transversal functionality required, from storage and data analysis, interoperability with Personal Health Records and hospital computer systems. This service will shortly be available under the 4.0 Industrial Ring initiative.

  • eHealth Date Analytics

    An ad hoc service for clinical and epidemiological data analysis and management, and of the genetic profile. By applying statistical and automatic learning techniques, we are able to characterize specific cohorts, identify relevant attributes, determine main groups from the population study, establish correlations and create predictive models.

  • Biomecanical Modelling

    A service providing the design of biomechanical computational models that simulate the behaviour of the complete musculoskeletal system in order to design medical devices, clinical or diagnostic protocols. Service providing functional biomechanical assessment with the possibility of carrying out in-situ records with a mobile laboratory.