Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/480782
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dc.coverage.spatialElectronics and Electrical Engineering
dc.date.accessioned2023-05-02T11:15:36Z-
dc.date.available2023-05-02T11:15:36Z-
dc.identifier.urihttp://hdl.handle.net/10603/480782-
dc.description.abstractElectrocardiogram ECG provides the diagnostic information about the depolarization and the relaxation activities of heart chambers This diagnostic information is captured using morphological features amplitude duration and shape of P wave QRS complex and T wave of ECG The variations in the morphological features of ECG are the symptoms of particular heart pathology It is a time consuming task for medical experts to visually identify any subtle changes in the morphological features durin
dc.format.extentNot Available
dc.languageEnglish
dc.relationNot Available
dc.rightsself
dc.titleNew diagnostic features from multilead ecg signal for detection of cardiac ailments
dc.title.alternativeNot available
dc.creator.researcherTripathy, Rajesh Kumar
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.noteNot Available
dc.contributor.guideDandapat, Samarendra
dc.publisher.placeGuwahati
dc.publisher.universityIndian Institute of Technology Guwahati
dc.publisher.institutionDEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING
dc.date.registered2013
dc.date.completed2016
dc.date.awarded2016
dc.format.dimensionsNot Available
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING

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