International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 86 - Issue 14 |
Published: January 2014 |
Authors: R. Kavitha, T Christopher |
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R. Kavitha, T Christopher . A Study on ECG Signal Classification Techniques. International Journal of Computer Applications. 86, 14 (January 2014), 9-14. DOI=10.5120/15052-3398
@article{ 10.5120/15052-3398, author = { R. Kavitha,T Christopher }, title = { A Study on ECG Signal Classification Techniques }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 86 }, number = { 14 }, pages = { 9-14 }, doi = { 10.5120/15052-3398 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A R. Kavitha %A T Christopher %T A Study on ECG Signal Classification Techniques%T %J International Journal of Computer Applications %V 86 %N 14 %P 9-14 %R 10.5120/15052-3398 %I Foundation of Computer Science (FCS), NY, USA
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.