Strategic Research

Biomedical Signal Processing and Interpretation (BIOSPIN)

The group's research addresses the design and development of advanced signal processing techniques and the interpretation of biomedical signals to improve non-invasive monitoring, diagnosis, disease prevention and pathology treatment. Our main objective is to improve diagnosis capability through the characterization of physiological phenomena and to enhance early detection of major cardiac and respiratory diseases and sleep disorders.We propose and design new signal processing algorithms and develop new biosignal databases, with the collaboration of our hospital partners. To validate the clinical information of new surface signals, we have developed specific invasive/non-invasive protocols and animal models. The group focuses its research in a translational way to promote the transfer of our scientific and technological contributions. Currently, our prototypes are used in hospitals for research purposes and for future industrial developments.

Main projects

  • 1.

    Multimodal physiological biomarkers for non-invasive monitoring and home healthcare of COPD patients with comorbidities (M-Bio4Health).

    Funded by MINECO (Spain), ref. DPI2015-68820-R, 2016-2019. PI: Raimon Jané.

  • 2.

    The relationship of novel biomechanical indices of neural respiratory drive and neuromechanical efficiency with disease severity and breathlessness in COPD.

    Funded by the European Respiratory Society, 2015-2016, PI: Raimon Jané.

  • 3.

    Research in Biomedical Signals and Systems and Intramural projects (SISBIO).

    Funded by CIBER-BBN (Instituto de Salud Carlos III), 2010-2016.

  • 4.

    Multimodal biomedical data interpretation in sleep and neurological disorders, obstructive pulmonary diseases, cardiac pathologies and cardiorespiratory interactions (BIOMIND).

    Funded by MINECO (Spain), ref. TEC2010-21703-C03-01, 2011-2014. PI: Raimon Jané.



Bioinformatics expertise:

Group Leader:

Raimon Jané

Bioinformatics services offered

  • Biosignal acquisition and processing.

    This line includes all steps of sensoring, data preprocessing and acquisition of physiological signals and subsequent processing to extract relevant clinical information.

  • Biosignal Modelling and Interpretation.

    This line covers all aspects of the development, testing and novel application of computational and statistical methods for the modelling and analysis of all kinds of biological data.