• An ECG and echocardiography-based characterization of hypertrophic cardiomyopathy using machine learning

  Leal Bajo, Carla (2023-09-22)

  Hypertrophic cardiomyopathy (HCM) is a condition characterized by an abnormal thickening of the myocardium resulting in impaired blood pumping efficiency of the heart. HCM exhibits clinical variability, with diverse ...
• On the basis of impaired functional connectivity in psychosis: the role of structural substrate and neurometabolites contribution

  González Aranceta, Nerea (2023-09-22)

  Psychotic disorders are characterized by the presence of symptoms related to a distortion of one’s perception of reality. In its early stages (First Episode of Psychosis, FEP), patients may show diffuse symptomatology ...
• The use of whole-brain models and variational autoencoders for the low-dimensional representation of psychosis and its perturbational landscape

  Garcés de Marcilla Lappin, Iraïs (2023-09-22)

  Psychosis can be described as an alteration in brain connectivity that leads to an impairment of cognition and the speed at which the information gets processed, what causes a diversity of psychiatric symptoms. This ...
• Automatic segmentation of intramedullary multiple sclerosis lesions delimited in DIR sequences with convolutional neural networks

  Gambús i Moreno, Paula (2023-09-22)

  Multiple sclerosis (MS) is a neurodegenerative disease affecting the central nervous system (CNS), characterized by the destruction of myelin sheaths, that has become the leading cause of disability in young adults. Since ...
• Design and development of a mockup of the circulation to test wireless implantable pressure sensors powered and controlled by volume conduction

  Gadea Saez, Mar (2023-09-22)

  Arterial blood pressure is a crucial indicator for cardiac conditions like hypertension, heart failure, strokes and limb ischemia. Current wireless devices diagnose heart failure through blood pressure measurement. ...

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