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Continuous monitoring of electrodermal activity during epileptic seizures using a wearable sensor

dc.contributor.authorPoh, Ming-Zher
dc.contributor.authorLoddenkemper, Tobias
dc.contributor.authorSwenson, Nicholas C.
dc.contributor.authorGoyal, Shubhi
dc.contributor.authorMadsen, Joseph R.
dc.contributor.authorPicard, Rosalind W.
dc.date.accessioned2012-05-04T15:34:10Z
dc.date.available2012-05-04T15:34:10Z
dc.date.issued2010-08
dc.date.submitted2010-04
dc.identifier.isbn978-1-4244-4123-5
dc.identifier.issn1557-170X
dc.identifier.otherINSPEC Accession Number: 11660433
dc.identifier.urihttp://hdl.handle.net/1721.1/70500
dc.description.abstractWe present a novel method for monitoring sympathetic nervous system activity during epileptic seizures using a wearable sensor measuring electrodermal activity (EDA). The wearable sensor enables long-term, continuous EDA recordings from patients. Preliminary results from our pilot study suggest that epileptic seizures induce a surge in EDA. These changes are greater in generalized tonic-clonic seizures and reflect a massive sympathetic discharge. This paper offers a new approach for investigating the relationship between epileptic seizures and autonomic alterations.en_US
dc.description.sponsorshipNancy Lurie Marks Family Foundationen_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/IEMBS.2010.5625988en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleContinuous monitoring of electrodermal activity during epileptic seizures using a wearable sensoren_US
dc.typeArticleen_US
dc.identifier.citationMing-Zher Poh et al. “Continuous Monitoring of Electrodermal Activity During Epileptic Seizures Using a Wearable Sensor.” Proceedings of the 32rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2010, IEEE, 2010. 4415–4418. Web.© 2010 IEEE.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.contributor.approverPicard, Rosalind W.
dc.contributor.mitauthorPicard, Rosalind W.
dc.contributor.mitauthorPoh, Ming-Zher
dc.contributor.mitauthorSwenson, Nicholas C.
dc.contributor.mitauthorGoyal, Shubhi
dc.relation.journalProceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010)en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.pmid21095760
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsMing-Zher Poh; Loddenkemper, Tobias; Swenson, Nicholas C; Goyal, Shubhi; Madsen, Joseph R; Picard, Rosalind Wen
dc.identifier.orcidhttps://orcid.org/0000-0002-3510-1923
dc.identifier.orcidhttps://orcid.org/0000-0002-5661-0022
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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