Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/4252
Title: CLASSIFICATION OF HEART RATE USING BACK PROPAGATION NEUTRAL NETWORKS
Authors: Kavitha, R
Christopher, T
Keywords: MIT-BIH
ECG
QRS complex
Issue Date: 2015
Publisher: International Journal of Bio-Science and Bio-Technology
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
URI: https://gvpress.com/journals/IJBSBT/vol7_no4/13.pdf
Appears in Collections:2.Article (30)

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