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dc.contributor.authorAyers, Brian
dc.contributor.authorBeshaw, Connor
dc.contributor.authorSerrano Finetti, Roberto Ernesto
dc.contributor.authorCasas Piedrafita, Óscar
dc.contributor.authorPallàs-Areny, Ramon
dc.contributor.authorCouderc, Jean-Philippe
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.date.accessioned2017-03-10T15:33:07Z
dc.date.issued2016
dc.identifier.citationAyers, B., Beshaw, C., Serrano, R., Casas, J.O., Pallàs-Areny, R., Couderc, J. Enabling atrial fibrillation detection using a weight scale. A: Computing in Cardiology Annual Conference. "Computing in Cardiology 2016, Vol. 43". Vancouver: 2016, p. 1.
dc.identifier.issn2325-887X
dc.identifier.urihttp://hdl.handle.net/2117/102330
dc.description.abstractAtrial fibrillation (AF) is a cardiac arrhythmia characterized by a highly irregular heart rate. It is the most prevalent arrhythmia in the general population in the United States and most developed countries, and is strongly associated with increased morbidity and mortality from adverse cardiovascular and cerebrovascular events. Moreover, patients with AF are correlated with increased healthcare expenditures, making the burden of AF on society extremely large. In this proof-of-concept study, we present an innovative device to be used as a screening tool for AF. The device consists of a modified electronic scale that is able to obtain an ECG and analyse it for the presence of AF. The classification algorithm is based on the RdR map method that plots RR intervals versus change in RR intervals. After optimizing the algorithm on a learning set of 77 ECGs from 45 patients, the performance of the device during a blind validation of 76 ECGs from 44 patients was: accuracy = 83%, sensitivity = 83%, specificity = 83% (N = 76 ECGs). Applying a constraint that each ECG recording contains a minimum of 7 beats in order to be eligible for classification, accuracy improved to 89% (sensitivity = 83%, specificity = 90%, N = 70). In conclusion, we present an innovative device to detect AF in a manner that can be implemented into current physician workflow without increasing the time or cost of each clinical encounter.
dc.format.extent1 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina
dc.subject.lcshAtrial fibrillation
dc.subject.lcshHeart--Surgery
dc.titleEnabling atrial fibrillation detection using a weight scale
dc.typeConference lecture
dc.subject.lemacFibril·lació auricular
dc.subject.lemacCor -- Cirurgia
dc.contributor.groupUniversitat Politècnica de Catalunya. GRUP ISI - Grup d'Instrumentació, Sensors i Interfícies
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac19507625
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorAyers, B.; Beshaw, C.; Serrano, R.; Casas, J.O.; Pallàs-Areny, R.; Couderc, J.
local.citation.contributorComputing in Cardiology Annual Conference
local.citation.pubplaceVancouver
local.citation.publicationNameComputing in Cardiology 2016, Vol. 43
local.citation.startingPage1
local.citation.endingPage1


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