|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 86 - Number 14
|Year of Publication: 2014
|Authors: R. Kavitha, T Christopher
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
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.