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논문검색

Classification of Heart Rate Using Back Propagation Neutral Networks

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Methodology
 3. Conclusion
 References

저자정보

  • R.Kavitha 1Department of computer science PSGR Krishnammal college for women Coimbatore TamilNadu
  • T.Christopher PG & Research Department of computer Science, Govt Arts College Coimbatore

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