{"73129":{"#nid":"73129","#data":{"type":"event","title":"SIAC Seminar - Sensor-based Cardiac System Informatics and Control","body":[{"value":"\u003Cp\u003ETITLE: Sensor-based Cardiac System Informatics and Control\u003C\/p\u003E\u003Cp\u003ESPEAKER; Dr. Hui Yang\u003C\/p\u003E\u003Cp\u003EABSTRACT:\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;Medical\n        devices in the 21st century\n        are capable of monitoring the cardiac electrical activities in\n        real time and\n        lead to the proliferation of patient monitoring signals. With\n        massive\n        healthcare recordings readily available, there is dire need for\n        the extraction\n        of knowledge pertinent to the cardiac disease process, thereby\n        leading to the early\n        identification and control of cardiac disorders. We intertwined\n        the approaches\n        of physics-based modeling and sensor-based data fusion to\n        promote the study of\n        cardiac system informatics and control. The computational\n        cardiac models not\n        only overcome the practical and ethical limitations in physical\n        experiments but\n        also provide predictive insights on the underlying pathological\n        mechanisms. Here,\n        we modeled the variations of cardiac electrical signaling due to\n        changes in\n        glycosylation of a voltage-gated K+ channel, hERG, responsible\n        for late phase 2\n        and phase 3 of the human ventricular action potential (AP). The\n        multi-scale cardiac\n        model is developed to integrate the measured changes in hERG\n        channels under different\n        glycosylation treatments, and further predicts the electrical\n        behaviors of\n        cardiac cells and tissues (cable\/ring). The experimental results\n        show that\n        reduced glycosylation acts to shorten the repolarization period\n        of cardiac APs,\n        and distort the AP propagation in cardiac tissues. On the other\n        hand, we\n        developed an approach of multiscale recurrence analysis to study\n        the cardiac pathological\n        behaviors in the space-time domain, as opposed to the\n        conventional time delay\n        reconstructed phase space from a single ECG trace. Few, if any,\n        previous\n        approaches studied the relationships between cardiac disorders\n        and multiscale recurrence\n        patterns underlying the cardiac vectorcardiogram (VCG) signals.\n        The integration\n        of wavelets and nonlinear dynamics was experimentally shown to\n        facilitate the\n        prominence of hidden pathological properties that are usually\n        buried in a\n        single scale view. Finally, future research directions in the\n        area will be\n        discussed.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Sensor-based Cardiac System Informatics and Control"}],"uid":"27187","created_gmt":"2011-11-29 14:39:13","changed_gmt":"2016-10-08 01:56:45","author":"Anita Race","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2011-12-06T10:00:00-05:00","event_time_end":"2011-12-06T11:00:00-05:00","event_time_end_last":"2011-12-06T11:00:00-05:00","gmt_time_start":"2011-12-06 15:00:00","gmt_time_end":"2011-12-06 16:00:00","gmt_time_end_last":"2011-12-06 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ERoshan Vengazhiyil\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}