{"id":275,"date":"2017-08-02T11:37:36","date_gmt":"2017-08-02T09:37:36","guid":{"rendered":"http:\/\/rushmore.wpcolorlab.com\/?page_id=275"},"modified":"2024-06-13T09:16:35","modified_gmt":"2024-06-13T07:16:35","slug":"research-lines","status":"publish","type":"page","link":"https:\/\/bsicos.i3a.es\/es\/research-lines\/","title":{"rendered":"L\u00edneas de investigaci\u00f3n"},"content":{"rendered":"
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    L\u00edneas de investigaci\u00f3n<\/strong><\/h1>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/li>\n\t\t<\/ul>\t\t\t\t
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      BSICoS focuses its activity on the Processing, Interpretation and Computer Simulation of Biomedical Signals.<\/h3>\n<\/div>\n<\/div><\/div><\/div>
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      BSICoS: Biomedical Signal Interpretation and Computational Simulation<\/strong><\/p>\n

      The main objective<\/strong>\u00a0of the group is the development of methods for\u00a0biomedical signal processing<\/em>, driven by the physiology, for personalized interpretation (diagnosis, prognosis and therapy) of the conditions of the cardiovascular, respiratory and autonomic nervous systems and their interactions.<\/p>\n

      The goal<\/strong>\u00a0is to improve the impact of ICTs in health and further understanding the functioning of biological systems that can be observed through noninvasive signals.<\/p>\n

      Key to this is working with clinical teams and research groups that combine the experiences of the two areas, direct research to solve relevant clinical problems and facilitate the transfer of results to clinical practice.<\/p>\n

      All this is embodied in 11 application domains that constitute the lines of work of the group:<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n\n

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      \"cardiac-pulse\"<\/a><\/div>

      MODELING AND SIMULATION OF CARDIAC ELECTROPHYSIOLOGY<\/a><\/h3><\/div><\/div><\/div><\/div>
      \"heart\"<\/a><\/div>

      ECG MARKERS FOR VENTRICULAR ARRHYTHMIC RISK STRATIFICATION<\/a><\/h3><\/div><\/div><\/div><\/div>
      \"electro\"<\/a><\/div>

      PROCESSING OF INTRACARDIAC EGM SIGNALS<\/a><\/h3><\/div><\/div><\/div><\/div>
      \"NON-INVASIVE<\/a><\/div>

      NON-INVASIVE PARAMETRIZATION OF AUTONOMIC NERVOUS SYSTEM<\/a><\/h3><\/div><\/div><\/div><\/div>
      \"BIOMEDICAL<\/a><\/div>

      BIOMEDICAL SIGNAL PROCESSING AND CHARACTERIZATION FOR RESPIRATORY PATHOLOGIES<\/a><\/h3><\/div><\/div><\/div><\/div>
      \"in-vitro-modelling\"<\/a><\/div>

      EXPERIMENTAL CHARACTERIZATION AND IN-VITRO MODELING OF CARDIAC AGING<\/a><\/h3><\/div><\/div><\/div><\/div>
      \"LONG-TERM<\/a><\/div>

      LONG-TERM MONITORING USING WEARABLE DEVICES<\/a><\/h3><\/div><\/div><\/div><\/div>
      \"brain<\/a><\/div>

      NEURAL INTERFACES WITH THE CENTRAL NERVOUS SYSTEM TO STUDY MOVEMENT<\/a><\/h3><\/div><\/div><\/div><\/div>
      \"GENETICS<\/a><\/div>

      GENETICS OF CARDIOVASCULAR RISK<\/a><\/h3><\/div><\/div><\/div><\/div>
      \"ARTIFICIAL<\/a><\/div>

      ARTIFICIAL INTELLIGENCE FOR BIOMEDICAL DATA PROCESSING AND CHARACTERIZATION<\/a><\/h3><\/div><\/div><\/div><\/div>
      \"IN-VITRO<\/a><\/div>

      IN-VITRO AND EX-VIVO EXPERIMENTAL ELECTROPHYSIOLOGY<\/a><\/h3><\/div><\/div><\/div><\/div>
      \"ECG-AF\"<\/a><\/div>

      NON-INVASIVE RISK ASSESSMENT IN ATRIAL FIBRILLATION<\/a><\/h3><\/div><\/div><\/div><\/div><\/div><\/div>
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      The lines of research addressed by the Group pursued basic scientific and technological progress through the development of algorithms and methods to improve diagnosis, prognosis and therapy application in cardiorespiratory and autonomic nervous system diseases, as well as a better understanding of physiology pathological or not pathological situations (drowsiness, stress, microgravity, etc).<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>

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