Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2394
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMisra, Sabita.en_US
dc.date.accessioned2008-09-17T09:02:06Z-
dc.date.available2008-09-17T09:02:06Z-
dc.date.copyright2001en_US
dc.date.issued2001-
dc.identifier.urihttp://hdl.handle.net/10356/2394-
dc.description.abstractThis report aims at analyzing ECG signal to extract various features and then classifying the beats as PVC/ normal/ others based on these characteristic features of ECG component waves namely QRS complex, P and T wave.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences-
dc.titleTime series analysis of ECG for PVC detectionen_US
dc.typeThesisen_US
dc.contributor.supervisorKwoh, Chee Keongen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeMaster of Engineering (SAS)en_US
dc.contributor.supervisor2Krishnan, Shankar Muthuen_US
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:SCSE Theses
Files in This Item:
File Description SizeFormat 
MisraSabita01.pdf
  Restricted Access
Main report2.61 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.