CLASSIFICATION OF HEART RATE USING BACK PROPAGATION NEUTRAL NETWORKS

Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/4252

Full metadata record

DC Field	Value	Language
dc.contributor.author	Kavitha, R	-
dc.contributor.author	Christopher, T	-
dc.date.accessioned	2023-11-15T08:07:04Z	-
dc.date.available	2023-11-15T08:07:04Z	-
dc.date.issued	2015	-
dc.identifier.uri	https://gvpress.com/journals/IJBSBT/vol7_no4/13.pdf	-
dc.description.abstract	A condition of abnormal electrical activity in the heart which is a threat to humans is shown by this electrocardiogram. It is a representative signal containing information about the condition of the heart. The of the P-QRS-T wave shape and size and their time intervals between its various peaks these are all contain useful information about the nature of disease affecting the heart. This paper presents a technique to examine electrocardiogram (ECG) signal, take out the features for the heart beats classification. Collect data from MIT-BIH database. The heart rate is used as the base signal from which certain parameters are extracted and presented to the BPN for classification	en_US
dc.language.iso	en_US	en_US
dc.publisher	International Journal of Bio-Science and Bio-Technology	en_US
dc.subject	MIT-BIH	en_US
dc.subject	ECG	en_US
dc.subject	QRS complex	en_US
dc.title	CLASSIFICATION OF HEART RATE USING BACK PROPAGATION NEUTRAL NETWORKS	en_US
dc.type	Article	en_US
Appears in Collections:	2.Article (30)

Files in This Item:

File	Description	Size	Format
CLASSIFICATION OF HEART RATE USING BACK PROPAGATION NEUTRAL NETWORKS.pdf		571.34 kB	Adobe PDF	View/Open