1D Convolutional Neural Network for Detecting Ventricular Heartbeats

dc.creatorSuárez-León, A. A.
dc.creatorNúñez, José R.
dc.date2020-02-26T22:32:43Z
dc.date2020-02-26T22:32:43Z
dc.date2020
dc.date.accessioned2023-11-22T13:57:57Z
dc.date.available2023-11-22T13:57:57Z
dc.descriptionThis paper shows a novel approach for detecting ventricular heartbeats using a 1D Convolutional Neural Network (1D-CNN). The algorithm input is the raw ECG signal, i.e., no signal pre-processing nor feature extraction are involved. The output of the 1D-CNN is filtered using a combination of linear and nonlinear filters to produce the final output. The MIT-BIH arrhythmia database was used for both algorithm training/tuning and evaluation. The assessment methodology followed the interpatient paradigm, where the algorithm was trained and evaluated using independent subsets. The performance of the proposed method was evaluated for two tasks; QRS detection, and heartbeat classification. QRS detection resulted in a sensitivity of 99.0% and a positive predictivity of 96.5%. The performance assessment of the ventricular ectopic beat detection resulted in a sensitivity of 85.8% and a positive predictivity of 64.5%. Although there is still room for improvement, the results suggest that convolutional neural networks are a promising approach for building heartbeat classifiers.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/11323/6054
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttp://repository-salesiana.heoq.net/handle/123456789/317399
dc.languageeng
dc.publisherUniversidad de la Costa
dc.rightsCC0 1.0 Universal
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectECG
dc.subject1D-CNN
dc.subjectHeartbeat classifier
dc.title1D Convolutional Neural Network for Detecting Ventricular Heartbeats
dc.typePre-Publicación
dc.typehttp://purl.org/coar/resource_type/c_816b
dc.typeText
dc.typeinfo:eu-repo/semantics/preprint
dc.typeinfo:eu-repo/semantics/draft
dc.typehttp://purl.org/redcol/resource_type/ARTOTR
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa
Files
Collections