Atrial fibrillation detection through heart rate variability using a machine learning approach and poincare plot features

dc.creatorSepulveda-Suescun J.P.
dc.creatorMurillo-Escobar J.
dc.creatorUrda-Benitez R.D.
dc.creatorOrrego-Metaute D.A.
dc.creatorOrozco-Duque A.
dc.date.accessioned2020-08-28T22:28:09Z
dc.date.accessioned2022-09-29T12:44:36Z
dc.date.available2020-08-28T22:28:09Z
dc.date.available2022-09-29T12:44:36Z
dc.date.created2020-08-28T22:28:09Z
dc.date.issued2017
dc.identifierhttp://hdl.handle.net/20.500.12622/3493
dc.identifier10.1007/978-981-10-4086-3_142
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3752985
dc.relation60
dc.relation565
dc.relation568
dc.sourceScopus
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85018446944&doi=10.1007%2f978-981-10-4086-3_142&partnerID=40&md5=7e0b50c7b7919243f95cbe932807f893
dc.titleAtrial fibrillation detection through heart rate variability using a machine learning approach and poincare plot features
dc.typeinfo:eu-repo/semantics/conferenceObject


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