A Review on ECG Classification Methods

Authors

  • Shijo Easow  PG Scholar, Department of CSE, Musaliar College of Engineering and Technology, Pathanamthitta, Kerala, India
  • Dr. L. C.Manikandan  Professor & HoD, Department of CSE, College of Engineering and Technology, Pathanamthitta, Kerala, India

DOI:

https://doi.org/10.32628/CSEIT206439

Keywords:

Arrhythmia, ECG classification, Convolutional neural network, DCT, QRS, ICA, PVC

Abstract

Arrhythmia is a main group of illnesses in cardiovascular disorder and it can occur on its own or with different cardiovascular diseases. The diagnosis of arrhythmia especially depends on the ECG (electrocardiogram). ECG is an important contemporary medical device that records the process of cardiac excitability, transmission, and recovery. The purpose of this study is to classify ECG signal using different methods.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-08-30

Issue

Volume 6, Issue 4, July-August-2020

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shijo Easow, Dr. L. C.Manikandan, " A Review on ECG Classification Methods" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 4, pp.220-227, July-August-2020. Available at doi : https://doi.org/10.32628/CSEIT206439