Condition monitoring analysis and diagnosis of ECG signal using advaced neuro fuzzy of artificial intelligence and data mining techniques

dc.contributor.guide	Vinaya babu
dc.coverage.spatial	Computer science and engineering
dc.creator.researcher	Srinivas, Nalla
dc.date.accessioned	2016-01-25T04:52:01Z
dc.date.available	2016-01-25T04:52:01Z
dc.date.awarded	n.d.
dc.date.completed	2013
dc.date.registered	n.d.
dc.description.abstract	None
dc.description.note	Publication p.104-105 and reference p.106-109
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	109p.
dc.identifier.uri	http://hdl.handle.net/10603/70913
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Guntur
dc.publisher.university	Acharya Nagarjuna University
dc.relation	-
dc.rights	university
dc.source.inflibnet	INFLIBNET
dc.subject.keyword	Data mining
dc.subject.keyword	Diagnosis
dc.subject.keyword	ECG signal
dc.title	Condition monitoring analysis and diagnosis of ECG signal using advaced neuro fuzzy of artificial intelligence and data mining techniques
dc.title.alternative	-
dc.type.degree	Ph.D.