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dc.contributor.authorValenza, Gaetano
dc.contributor.authorAkeju, Oluwaseun
dc.contributor.authorPavone, Kara J
dc.contributor.authorCiti, Luca
dc.contributor.authorHartnack, Katharine E
dc.contributor.authorSampson, Aaron
dc.contributor.authorBarbieri, Riccardo
dc.contributor.authorPurdon, Patrick Lee
dc.contributor.authorBrown, Emery N.
dc.date.accessioned2014-11-26T17:37:47Z
dc.date.available2014-11-26T17:37:47Z
dc.date.issued2014-11
dc.date.submitted2014-02
dc.identifier.issn2194-3990
dc.identifier.urihttp://hdl.handle.net/1721.1/91931
dc.description.abstractAnesthesia-induced altered arousal depends on drugs having their effect in specific brain regions. These effects are also reflected in autonomic nervous system (ANS) outflow dynamics. To this extent, instantaneous monitoring of ANS outflow, based on neurophysiological and computational modeling, may provide a more accurate assessment of the action of anesthetic agents on the cardiovascular system. This will aid anesthesia care providers in maintaining homeostatic equilibrium and help to minimize drug administration while maintaining antinociceptive effects. In previous studies, we established a point process paradigm for analyzing heartbeat dynamics and have successfully applied these methods to a wide range of cardiovascular data and protocols. We recently devised a novel instantaneous nonlinear assessment of ANS outflow, also suitable and effective for real-time monitoring of the fast hemodynamic and autonomic effects during induction and emergence from anesthesia. Our goal is to demonstrate that our framework is suitable for instantaneous monitoring of the ANS response during administration of a broad range of anesthetic drugs. Specifically, we compare the hemodynamic and autonomic effects in study participants undergoing propofol (PROP) and dexmedetomidine (DMED) administration. Our methods provide an instantaneous characterization of autonomic state at different stages of sedation and anesthesia by tracking autonomic dynamics at very high time-resolution. Our results suggest that refined methods for analyzing linear and nonlinear heartbeat dynamics during administration of specific anesthetic drugs are able to overcome nonstationary limitations as well as reducing inter-subject variability, thus providing a potential real-time monitoring approach for patients receiving anesthesia.en_US
dc.publisherSpringeren_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/s40244-014-0013-2en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0en_US
dc.titleInstantaneous monitoring of heart beat dynamics during anesthesia and sedationen_US
dc.typeArticleen_US
dc.identifier.citationValenza, Gaetano et al. “Instantaneous Monitoring of Heart Beat Dynamics during Anesthesia and Sedation.” Journal of Computational Surgery 3.1 (2014): n. pag.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.mitauthorPurdon, Patrick Leeen_US
dc.contributor.mitauthorBrown, Emery N.en_US
dc.contributor.mitauthorBarbieri, Riccardoen_US
dc.relation.journalJournal of Computational Surgeryen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2014-11-21T16:05:30Z
dc.language.rfc3066en
dc.rights.holderGaetano Valenza et al.; licensee BioMed Central Ltd.
dspace.orderedauthorsValenza, Gaetano; Akeju, Oluwaseun; Pavone, Kara J; Citi, Luca; Hartnack, Katharine E; Sampson, Aaron; Purdon, Patrick L; Brown, Emery N; Barbieri, Riccardoen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5651-5060
dc.identifier.orcidhttps://orcid.org/0000-0003-2668-7819
dc.identifier.orcidhttps://orcid.org/0000-0002-6166-448X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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