1. Shodhbhagirathi @ IITR
  2. ELECTRONICS AND COMMUNICATION ENGINEERING (FORMERLY ELECTRONICS & COMPUTER ENGINEERING)
  3. MASTERS' THESES (E & C)
Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/2123
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dc.contributor.authorNanda, S. K.-
dc.date.accessioned2014-09-26T12:25:38Z-
dc.date.available2014-09-26T12:25:38Z-
dc.date.issued1977-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/2123-
dc.guideKamal, A. K.-
dc.description.abstractTwo gensralteed approaches have been used viz. application of detect ion theory and application of Histograas to diagnose an Electrocardiogram. Both of the approaches can be used with equal effectiveness to distinguish between a norm and an abnormal heart in case of a xa nation of G'a at automated service centre. With the help of detailed data a specific diagnosis can be made with highest standard of accuracy.en_US
dc.language.isoenen_US
dc.subjectELECTROCARDIOGRAMen_US
dc.subjectGENSRALTEED APPROACHESen_US
dc.subjectAUTOMATIC RECOGNITIONen_US
dc.subjectELECTRONICS AND COMPUTER ENGINEERINGen_US
dc.titleAUTOMATIC RECOGNITION OF ELECTROCARDIOGRAMen_US
dc.typeM.Tech Dessertationen_US
dc.accession.number175015en_US
Appears in Collections:MASTERS' THESES (E & C)

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