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A Review on Recent Patents in Digital Processing for Cardiac Electric Signals (I): From Basic Systems to Arrhythmia Analysis

dc.contributor.authorGoya Esteban, R
dc.contributor.authorBarquero Pérez, Óscar
dc.contributor.authorAlonso Atienza, Felipe
dc.contributor.authorEverss, E
dc.contributor.authorRequena Carrión, Jesús
dc.contributor.authorGarcía Alberola, Arcadi
dc.contributor.authorRojo-Álvarez, José Luis
dc.date.accessioned2009-07-14T11:06:21Z
dc.date.available2009-07-14T11:06:21Z
dc.date.issued2009-07-14T11:06:21Z
dc.identifier.issn1874-7647
dc.identifier.urihttp://hdl.handle.net/10115/2409
dc.description.abstractCardiac electric signals are currently the most informative source about the heart rhythm and its disorders, and hence, the use of adequate digital signal processing techniques is necessary to yield reliable diagnostic parameters, either to the clinician or to automatic monitoring systems. A number of systems have been patented during the last years, which are grouped in this review according to their application scope. In this first part, techniques for electrocardiogram and intracardiac electrogram filtering, and for feature extraction, are first examined, then patents on arrhythmia analysis are then summarized. The wide number of basic systems for cardiac signal processing analysis that have been disclosed indicates that this field represents a main scenario in the near and middle future of cardiac health.es
dc.language.isoenes
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectTelecomunicacioneses
dc.titleA Review on Recent Patents in Digital Processing for Cardiac Electric Signals (I): From Basic Systems to Arrhythmia Analysises
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subject.unesco32 Ciencias Médicases
dc.description.departamentoTeoría de la Señal y Comunicaciones


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Atribución-NoComercial-SinDerivadas 3.0 EspañaExcept where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España