Deep Learning Models for Cardiac Abnormality Detection from ECG Signals An Interpretability Perspective

Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/424816

Full metadata record

DC Field	Value	Language
dc.coverage.spatial	Computer Science and Engineering
dc.date.accessioned	2022-12-12T11:27:32Z	-
dc.date.available	2022-12-12T11:27:32Z	-
dc.identifier.uri	http://hdl.handle.net/10603/424816	-
dc.description.abstract	Cardiovascular diseases CVD accounted for 54 million deaths in India in 2016 and the number of patients has been rapidly rising particularly within urban communities Deep learning models DLM have been widely used for detecting cardiac abnormal newline
dc.format.extent	Not Available
dc.language	English
dc.relation	Not Available
dc.rights	self
dc.title	Deep Learning Models for Cardiac Abnormality Detection from ECG Signals An Interpretability Perspective
dc.title.alternative
dc.creator.researcher	Nankani, Deepankar
dc.subject.keyword	Automation and Control Systems
dc.subject.keyword	Computer Science
dc.subject.keyword	Engineering and Technology
dc.description.note	Not Available
dc.contributor.guide	Baruah, Rashmi Dutta
dc.publisher.place	Guwahati
dc.publisher.university	Indian Institute of Technology Guwahati
dc.publisher.institution	Department of Computer Science and Engineering
dc.date.registered	2015
dc.date.completed	2022
dc.date.awarded	2022
dc.format.dimensions	Not Available
dc.format.accompanyingmaterial	None
dc.source.university	University
dc.type.degree	Ph.D.
Appears in Departments:	Department of Computer Science and Engineering

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File	Description	Size	Format
01_fulltext.pdf	Attached File	16.88 MB	Adobe PDF	View/Open
04_abstract.pdf		62.98 kB	Adobe PDF	View/Open
80_recommendation.pdf		226.7 kB	Adobe PDF	View/Open

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