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

Title:	Deep Learning Models for Cardiac Abnormality Detection from ECG Signals An Interpretability Perspective
Researcher:	Nankani, Deepankar
Guide(s):	Baruah, Rashmi Dutta
Keywords:	Automation and Control Systems Computer Science Engineering and Technology
University:	Indian Institute of Technology Guwahati
Completed Date:	2022
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
Pagination:	Not Available
URI:	http://hdl.handle.net/10603/424816
Appears in Departments:	Department of Computer Science and Engineering

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