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Help system for medical diagnosis of the electrocardiogram

dc.contributor.authorTeixeira, João Paulo
dc.contributor.authorLopes, Vanda
dc.date.accessioned2014-06-20T10:20:54Z
dc.date.available2014-06-20T10:20:54Z
dc.date.issued2011
dc.description.abstractThis presentation is part of a work that aims to create an interactive learning medical system of ECG events and pathologies diagnose. The system can be seen as an interactive game in wish the user will practice with ECG signal of several pathologies For this purpose an algorithm was developed that detects the events of the ECG in MATLAB. This paper is focus on the discussion of the algorithm, connections between the ECG and the heart physiology listing several pathologies and their respective ECG patterns. A preparatory smoothing of the signal is performed. The algorithm is now only applicable to the normal ECG. It is based in correlation of events within a period of the ECG, and finds the P wave and T wave searching the peaks under a confined region of the smoothed signal.por
dc.identifier.citationTeixeira, João Paulo; Lopes, V.: (2011). Help system for medical diagnosis of the electrocardiogram. In 1st International Conference on Serious Games and Applications for Health. Braga. p. 95-102por
dc.identifier.urihttp://hdl.handle.net/10198/9708
dc.language.isoporpor
dc.peerreviewedyespor
dc.subjectElectrocardiogrampor
dc.subjectECG eventpor
dc.subjectCardiac pathologiespor
dc.titleHelp system for medical diagnosis of the electrocardiogrampor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceBraga, Portugalpor
oaire.citation.titleIEEE 1st International Conference on Serious Games and Applications for Healthpor
person.familyNameTeixeira
person.givenNameJoão Paulo
person.identifier663194
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id57069567500
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery33f4af65-7ddf-46f0-8b44-a7470a8ba2bf

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