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A Study on ECG Signal Classification Techniques

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 86 - Number 14
Year of Publication: 2014
R. Kavitha
T Christopher

R Kavitha and T Christopher. Article: A Study on ECG Signal Classification Techniques. International Journal of Computer Applications 86(14):9-14, January 2014. Full text available. BibTeX

	author = {R. Kavitha and T Christopher},
	title = {Article: A Study on ECG Signal Classification Techniques},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {86},
	number = {14},
	pages = {9-14},
	month = {January},
	note = {Full text available}


The abnormal condition of the electrical activity in the heart is using electrocardiogram shows a threat to human beings. It is a representative signal containing information about the condition of the heart. The P-QRS-T wave shape, size and their time intervals between its various peaks contain useful information about the nature of disease affecting the heart. This paper presents a technique to examine electrocardiogram (ECG) signal, by taking the features form the heart beats classification. ECG Signals are collected from MIT-BIH database. The heart rate is used as the base signal from which certain parameters are extracted and presented to the network for classification. This survey provides a comprehensive overview for the classification of heart rate.


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