Analysis of the cardiovascular response to autonomic nervous system modulation in Brugada syndrome patients 

    Calvo González, Mireia (Date of defense: 2017-11-10)

    Brugada syndrome (BS) is a genetic arrhythmogenic disease characterized by a distinctive electrocardiographic pattern, associated with a high risk for sudden cardiac death (SCD) due to ventricular fibrillation (VF) in ...

    Machine learning methods for the analysis of liquid chromatography-mass spectrometry datasets in metabolomics 

    Fernández Albert, Francesc (Date of defense: 2014-10-30)

    Liquid Chromatography-Mass Spectrometry (LC/MS) instruments are widely used in Metabolomics. To analyse their output, it is necessary to use computational tools and algorithms to extract meaningful biological information. ...

    Robust leak localization in water distribution networks using machine learning techniques 

    Soldevila Coma, Adrià (Date of defense: 2018-03-23)

    This PhD thesis presents a methodology to detect, estimate and localize water leaks (with the main focus in the localization problem) in water distribution networks using hydraulic models and machine learning techniques. ...