Implementation and analysis of maternal health parameters for assistive monitoring using deep learning models

dc.contributor.guide	Deepa Jose
dc.coverage.spatial	Implementation and analysis of maternal health parameters for assistive monitoring using deep learning models
dc.creator.researcher	Sowmya,S
dc.date.accessioned	2025-06-09T05:48:05Z
dc.date.available	2025-06-09T05:48:05Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions	21cm.
dc.format.extent	xxvii,233p.
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/644819
dc.language	English
dc.publisher.institution	Faculty of Information and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	p.216-232
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Information Systems
dc.subject.keyword	Electrocardiography
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	fetal electrocardiogram
dc.subject.keyword	mother electrocardiogram
dc.title	Implementation and analysis of maternal health parameters for assistive monitoring using deep learning models
dc.title.alternative
dc.type.degree	Ph.D.