Investigation on classification of electrocardiogram signals using time frequency model based feature extraction and pattern recognition by artificial intelligence technique for disease identification and biometric analysis

Simple item page
dc.contributor.guideMitra, Madhuchhanda
dc.coverage.spatialApplied Physics
dc.creator.researcherPal, Saurabh
dc.date.accessioned2017-10-11T11:02:53Z
dc.date.available2017-10-11T11:02:53Z
dc.date.awardedn.d.
dc.date.completed2012
dc.date.registeredn.d.
dc.description.abstractAbstract not available
dc.description.noteData not available
dc.description.provenanceMade available in DSpace on 2017-10-11T11:02:53Z (GMT). No. of bitstreams: 20 01_title page.pdf: 27985 bytes, checksum: bf902395c09a33cb1e4adf967f70192c (MD5) 02_preface.pdf: 16257 bytes, checksum: 7467bb74bc0881ab4078f9f6e8f722b8 (MD5) 03_acknowledgement.pdf: 32712 bytes, checksum: 755c3d06d3d08f2aacbcc9962da99761 (MD5) 04_list of original papers.pdf: 85197 bytes, checksum: c9ad663d9585d554a51905273e0f27fe (MD5) 05_list of figures.pdf: 158656 bytes, checksum: 8682be5902341d27d2a1ab52673c4750 (MD5) 06_list of table.pdf: 53009 bytes, checksum: dd0a4f16c5e8b67d48cf73b68e5a7c30 (MD5) 07_list of acronyms.pdf: 54080 bytes, checksum: 8951fb211118255e2657ecdc17c9dacb (MD5) 08_abstract.pdf: 50357 bytes, checksum: f493df1e8ec1b1d44fcbb9002f25792b (MD5) 09_content.pdf: 67284 bytes, checksum: 5765b077d95b530c389208c10c46540a (MD5) 10_chapter 1.pdf: 863040 bytes, checksum: a783f17fcfb8115211436c102f336001 (MD5) 11_chapter 2.pdf: 999274 bytes, checksum: 29953dfb281fa977ffbeeed9e5f9fd8f (MD5) 12_chapter 3.pdf: 1261678 bytes, checksum: c7448f9002212d2e8a524298bebcbb9c (MD5) 13_chapter 4.pdf: 1053060 bytes, checksum: 5824c39bed3b26ba117737d711b0e6cc (MD5) 14_chapter 5.pdf: 611385 bytes, checksum: 5ee401577e06f3bd1073c0055f7bf661 (MD5) 15_final conclusion and future scope.pdf: 180833 bytes, checksum: 409b558188b62b205226feb09b98848b (MD5) 16_list of corrections.pdf: 49646 bytes, checksum: 9ac044203e71a32a686e8e3d9a134b5a (MD5) 17_appendix 1.pdf: 3609 bytes, checksum: 2ea1dfcc5ca222e82384e8468189b97f (MD5) 18_references.pdf: 596601 bytes, checksum: 287f1122dfb21d5188042024c12b306c (MD5) 19_appendix 2.pdf: 2220894 bytes, checksum: 58660897dfeb834b4ec1f3ecfa0792dc (MD5) license.txt: 1837 bytes, checksum: ebde26e9c598048970cb6f8173ba5cb2 (MD5)en
dc.format.accompanyingmaterialNone
dc.format.dimensions28cm.
dc.format.extentxiv, 146p.
dc.identifier.urihttp://hdl.handle.net/10603/174847
dc.languageEnglish US
dc.publisher.institutionDepartment of Applied Physics
dc.publisher.placeKolkata
dc.publisher.universityUniversity of Calcutta
dc.relation132-146
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordClassfication
dc.subject.keywordElectrocardiogram
dc.subject.keywordExtraction
dc.subject.keywordIntelligence
dc.subject.keywordInvestigation
dc.titleInvestigation on classification of electrocardiogram signals using time frequency model based feature extraction and pattern recognition by artificial intelligence technique for disease identification and biometric analysis
dc.title.alternative
dc.type.degreePh.D.

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