{"655298":{"#nid":"655298","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Asim Gazi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EModeling Stress Dynamics: Non-Invasive Estimation and Neuromodulation of Latent Autonomic State\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Inan, Advisor\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Rozell, Co-Advisor\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Vela, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Davenport\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of the proposed research is to enable closed-loop stress regulation via inference and control of latent autonomic state, leveraging non-invasive physiological sensing and neuromodulation. Two synergistic components are necessary to accomplish this. The first involves estimation. Specifically, a multimodal set of physiological signals will be used to infer a lower dimensional latent autonomic state\u0026#39;s dynamics. To do so requires biosignal processing and feature extraction; however, the foundational literature on respiration signal processing and feature extraction remained unsatisfactory. Our first completed contribution, therefore, was to engineer an end-to-end respiration processing and respiration pattern variability (RPV) extraction pipeline and establish RPV\u0026rsquo;s associations with neural and psychological measures. Our proposed next step for estimation is to design a novel latent autonomic state estimation for stress (LASES) framework and validate state correspondence with neural and psychological measures. The second necessary component of the proposed closed-loop system involves control, whether that be simple on-off control or advanced algorithms. As our control input, we propose the use of transcutaneous cervical vagus nerve stimulation (tcVNS). tcVNS\u0026#39;s static effects studied in prior work indicate sympathetic arousal attenuation. However, biomarker dynamics remained poorly understood. Thus, our second completed contribution was to study these biomarker dynamics using state-space models of varying dead time. By characterizing the responses and time delays, the on-off effects of tcVNS were elucidated for preliminary control design. We propose furthering these control efforts by modeling the tcVNS-induced dynamics of latent autonomic state via system identification. This will enable in silico control design and evaluation.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Modeling Stress Dynamics: Non-Invasive Estimation and Neuromodulation of Latent Autonomic State"}],"uid":"28475","created_gmt":"2022-02-08 16:25:48","changed_gmt":"2022-02-08 16:25:48","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-02-16T15:00:00-05:00","event_time_end":"2022-02-16T17:00:00-05:00","event_time_end_last":"2022-02-16T17:00:00-05:00","gmt_time_start":"2022-02-16 20:00:00","gmt_time_end":"2022-02-16 22:00:00","gmt_time_end_last":"2022-02-16 22:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}