Welcome to the InfoSci Platform
A Computer Based System for ECG Arrhythmia Classification

A Computer Based System for ECG Arrhythmia Classification

S. R. Nirmala, Pratiksha Sarma
Copyright: © 2015 |Pages: 26
ISBN13: 9781466684935|ISBN10: 1466684933|EISBN13: 9781466684942
DOI: 10.4018/978-1-4666-8493-5.ch007
Cite Chapter Cite Chapter

MLA

Nirmala, S. R., and Pratiksha Sarma. "A Computer Based System for ECG Arrhythmia Classification." Intelligent Applications for Heterogeneous System Modeling and Design, edited by Kandarpa Kumar Sarma, et al., IGI Global, 2015, pp. 160-185. https://doi.org/10.4018/978-1-4666-8493-5.ch007

APA

Nirmala, S. R. & Sarma, P. (2015). A Computer Based System for ECG Arrhythmia Classification. In K. Sarma, M. Sarma, & M. Sarma (Eds.), Intelligent Applications for Heterogeneous System Modeling and Design (pp. 160-185). IGI Global. https://doi.org/10.4018/978-1-4666-8493-5.ch007

Chicago

Nirmala, S. R., and Pratiksha Sarma. "A Computer Based System for ECG Arrhythmia Classification." In Intelligent Applications for Heterogeneous System Modeling and Design, edited by Kandarpa Kumar Sarma, Manash Pratim Sarma, and Mousmita Sarma, 160-185. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8493-5.ch007

Export Reference

Mendeley
Favorite

Abstract

Biological signals can be classified according to its various characteristics like waveform shape, statistical structure and temporal properties. Among various bioelectric signals, one of the most familiar signal is the ECG. It is a signal derived from the electrical activity of the heart. The heart is an important organ which supplies body with oxygen. ECG is widely used in monitoring the health condition of the human. Cardiac arrhythmias can affect electrical system of the heart muscles and cause abnormal heart rhythms that can lead to insufficient pumping of blood and death risks. An important step towards identifying an arrhythmia is the classification of heartbeats. Modern analysis of electrical activity of the heart uses simple as well as sophisticated algorithms of digital signal processing. With the advent of technology, automatic classification of electrocardiogram signals through human-computer interactive systems has received great attention. This chapter discusses some computer assisted classification techniques based on statistical features extracted from ECG signal.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.