L'objectiu principal consisteix a dissenyar i desenvolupar tècniques avançades de processament de senyals biomèdics per al monitoratge, el diagnòstic i la teràpia de patologies. Els objectius parcials són: a) L'estudi d'aspectes teòrics de l'anàlisi del senyal i de la seva aplicabilitat a la interpretació de senyals biomèdics per poder millorar el processament de la informació mèdica; b) El desenvolupament d'aplicacions tecnològiques per utilitzar-les en l'entorn hospitalari, que inclouen la utilització d'instrumentació mèdica real; c) La modelització i simulació de sistemes biològics per conèixer millor els sistemes fisiològics i per dissenyar millores terapèutiques. Els camps d'aplicació són: electrocardiografia, monitoratge ambulatori, activitat muscular respiratòria, sons respiratoris, senyals de ronc, variabilitat del patró respiratori, acoblament cardiorespiratori, electroencefalografia, senyals polisomnogràfics, etc.

http://futur.upc.edu/SISBIO

To design and develop advanced biomedical signal processing techniques for the monitoring, diagnosis and therapy of pathologies. The specific objectives are as follows: a) the study of theoretical aspects of signal processing techniques and their applicability to the interpretation of biomedical signals to improve the processing of medical information; b) the development of technological applications to be used in clinical environments, including the use of medical instrumentation; and c) the modelling and simulation of biological systems to improve knowledge of physiological systems and to design new therapeutic procedures. The fields of application are electrocardiography, mobile monitoring equipment, respiratory muscle activity, respiratory sounds, snoring signals, respiratory pattern variability, cardiorespiratory coupling, electroencephalography, polysomnographic signals, etc.

http://futur.upc.edu/SISBIO

To design and develop advanced biomedical signal processing techniques for the monitoring, diagnosis and therapy of pathologies. The specific objectives are as follows: a) the study of theoretical aspects of signal processing techniques and their applicability to the interpretation of biomedical signals to improve the processing of medical information; b) the development of technological applications to be used in clinical environments, including the use of medical instrumentation; and c) the modelling and simulation of biological systems to improve knowledge of physiological systems and to design new therapeutic procedures. The fields of application are electrocardiography, mobile monitoring equipment, respiratory muscle activity, respiratory sounds, snoring signals, respiratory pattern variability, cardiorespiratory coupling, electroencephalography, polysomnographic signals, etc.

http://futur.upc.edu/SISBIO

Enviaments recents

  • Baitmet, a computational approach for GC–MS library-driven metabolite profiling 

    Domingo, Xavier; Brezmes, Jesus; Venturini, G; Vivó-Truyols, Gabriel; Perera Lluna, Alexandre; Vinaixa, Maria (2017-06-24)
    Article
    Accés restringit per política de l'editorial
    Current computational tools for gas chromatography – mass spectrometry (GC – MS) metabolomics profiling do not focus on metabolite identification, that still remains as the entire workflow bottleneck and it relies on manual ...
  • DNA methylation profiling unveils TGF-ß hyperresponse in tumor associated fibroblasts from lung cancer patients 

    Vizioso, Miguel; Puig, Marta; Carmona, F. Javier; Maqueda González, María de los Ángeles; Gomez, Antonio; Labernardie, nna; Gabasa, Marta; Mendizuri, Saloa; Ikemori, Rafael; Trepat Guixer, Xavier; Moran, Sebastian; Vidal, Enrique; Reguart, Noemí; Perera Lluna, Alexandre; Esteller, Manel; Alcaraz, Jordi (2016-07-22)
    Article
    Accés obert
    There is growing interest in defining the aberrant molecular differences between normal and tumor-associated fibroblasts (TAFs) that support tumor progression. For this purpose, we recently conducted a genome-wide DNA ...
  • Early prediction of Alzheimer's disease using null longitudinal model-based classifiers 

    Gavidia Bovadilla, Giovana Elizabeth; Kanaan Izquierdo, Samir; Mataro Serrat, Maria; Perera Lluna, Alexandre (2017-01-03)
    Article
    Accés obert
    Incipient Alzheimer’s Disease (AD) is characterized by a slow onset of clinical symptoms, with pathological brain changes starting several years earlier. Consequently, it is necessary to first understand and differentiate ...
  • Solarius: an R interface to SOLAR for variance component analysis in pedigrees 

    Ziyatdinov, Andrey; Brunel, Helena; Martinez Perez, Angel; Buil, Alfonso; Perera Lluna, Alexandre; Soria, José Manuel (2016-02-15)
    Article
    Accés obert
    The open source environment R is one of the most widely used software for statistical computing. It provides a variety of applications including statistical genetics. Most of the powerful tools for quantitative genetic ...
  • The Central role of KNG1 gene as a genetic determinant of coagulation pathway-related traits: Exploring metaphenotypes 

    Brunel, Helena; Massanet, Raimon; Martinez Perez, Angel; Ziyatdinov, Andrey; Martin-Fernandez, Laura; Souto, Juan Carlos; Perera Lluna, Alexandre; Soria, José Manuel (2016-12-22)
    Article
    Accés obert
    Traditional genetic studies of single traits may be unable to detect the pleiotropic effects involved in complex diseases. To detect the correlation that exists between several phenotypes involved in the same ...
  • Applicability of semi-supervised learning assumptions for gene ontology terms prediction 

    Jaramillo-Garzón, Jorge Alberto; Castellanos, Cesar German; Perera Lluna, Alexandre (2016-06-01)
    Article
    Accés obert
    Gene Ontology (GO) is one of the most important resources in bioinformatics, aiming to provide a unified framework for the biological annotation of genes and proteins across all species. Predicting GO terms is an essential ...
  • Desarrollo de una plataforma web para el acceso interactivo a una base de datos SQL con información biológica de competiciones deportivas 

    López del Río, Ángela; Maqueda González, María de los Ángeles; Roca Rodríguez, E; Perera Lluna, Alexandre (Editorial Universitat Politècnica de València, 2016)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    En este artículo se describe el desarrollo de una aplicación web mediante R que permite acceder fácilmente a la información almacenada en una base de datos SQL compleja construida a partir de datos fisiológicos de rendimiento ...
  • Enriquecimiento mediante vías metabólicas de datos de Cromatografía Líquida- Espectrometría de Masas a través de análisis espectral de grafos 

    Picart Armada, Sergio; Fernández Albert, Francesc; Vinaixa, Maria; Yanes, Óscar; Perera Lluna, Alexandre (2014)
    Text en actes de congrés
    Accés obert
    Una de las técnicas experimentales más extendidas en el ámbito de investigación biológica y la química analítica es la Cromatografía Líquida – Espectrometría de Masas, CL/EM, cuya salida informa sobre los compuestos presentes ...
  • Health in ultra endurance events: SUMMIT Lab® Project 

    Roca, Emma; Nescolarde Selva, Lexa Digna; Perera Lluna, Alexandre; Bogónez-Franco, Paco; Soria, José Manuel; Roche, Enrique; Daniel, Brotons; Bayés Genis, Antoni (2016)
    Comunicació de congrés
    Accés obert
    High-intensity physical activity for an extended period of time could result in unhealthy disruptions to physiological systems. The main goal of the SUMMIT Lab® is to offer to ultra-endurance athletes an assessment of the ...
  • Cardiac electrical defects in progeroid mice and Hutchinson-Gilford progeria syndrome patients with nuclear lamina alterations 

    Riveras Torres, Jose; Calvo, Conrado J.; Llach, Anna; Gúzman Martínez, Gabriela; Caballero, Ricardo; González Gómez, Cristina; Jiménez Borreguero, Luís J.; Guadix, Juan A.; Osorio, Fernando G.; López Otín, Carlos; Herraiz Martínez, Adela; Cabello, Nuria; Vallmitjana Lees, Alex; Benítez Iglesias, Raúl; Gordon, Leslie B. (2016-11-15)
    Article
    Accés obert
    Hutchinson–Gilford progeria syndrome (HGPS) is a rare genetic disease caused by defective prelamin A processing, leading to nuclear lamina alterations, severe cardiovascular pathology, and premature death. Prelamin A ...

Mostra'n més