{"id":5384,"date":"2023-09-08T12:23:36","date_gmt":"2023-09-08T10:23:36","guid":{"rendered":"https:\/\/bsicos-dev.i3a.es\/?p=5384"},"modified":"2025-12-15T14:34:09","modified_gmt":"2025-12-15T12:34:09","slug":"non-invasive-parametrization-of-autonomic-nervous-system","status":"publish","type":"post","link":"https:\/\/bsicos.i3a.es\/es\/non-invasive-parametrization-of-autonomic-nervous-system\/","title":{"rendered":"NON-INVASIVE PARAMETRIZATION OF AUTONOMIC NERVOUS SYSTEM"},"content":{"rendered":"
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    L\u00edneas de investigaci\u00f3n<\/a><\/h3>\n

    NON-INVASIVE PARAMETRIZATION OF AUTONOMIC NERVOUS SYSTEM\n<\/h1>\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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    1. <\/a><\/li>\n\t\t\t\t\t\t\t\t\t<\/ol>\n\n\t\t\t\t
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      \n\t\t\t\t\t\tPatents and technology transfer\t\t\t\t\t\t<\/p>\n\t\t\t\t\t\t\t\t\t\t\t

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      Non-invasive parametrization of autonomic nervous system activity through the analysis of the dynamics and interactions of signals derived from electrocardiogram (ECG), blood pressure (BP), and pulse photoplethysmography signals (PPG), such as heart rate variability (HRV), BP variability and pulse transit time (PTT). Applications:<\/p>\n

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      1. Analysis and modeling of HRV during exercise.<\/li>\n
      2. Detection of drowsiness in drivers.<\/li>\n
      3. Identification of stress, emotional states and effects of music.<\/li>\n
      4. Discrimination of patients resistant or prone to suffer hypotension during hemodialysis.<\/li>\n
      5. Prediction of hypotension during spinal anesthesia in cesarean delivery.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>
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        Investigator in charge<\/span><\/h2><\/div><\/div><\/div>
        \"Raquel<\/a><\/div>

        Raquel Bail\u00f3n Luesma<\/a><\/h3><\/div><\/div><\/div><\/div>
        \"Eduardo<\/a><\/div>

        Eduardo Gil Herrando<\/a><\/h3><\/div><\/div><\/div><\/div><\/div><\/div>
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        \n\t\t\t\t\t\tTechnologies and targeting sectors\t\t\t\t\t\t<\/p>\n\t\t\t\t\t\t\t\t\t\t\t

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