ECG Arryhthmia Classifier

Md. Nasir Uddin

ECG Arryhthmia Classifier

Md. Nasir Uddin * §

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International Islamic University Malaysia

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Abstract

ECG (electrocardiograph) is test that measures the electrical activity of the heart. In an ECG test, the electrical impulses were made while the heart is beating and then it records any problems with the heart’s rhythm and the conduction of the heart beat through the heart which may be affected by underlying heart disease. In this project different signal processing techniques which are in Time-Frequency Domain and Auto-Correlation will be analyze and later, it will be classify to predict the patient’s heart condition whether it is healthy or not Apart of that, this project also used three types of method for automatic classifications which are Signal Analysis Technique, Pattern Recognition and Automatic Classification. MATLAB will be used as a computerized of ECG problems. In MATLAB, the data were analyzed and classified.

References

7 Cites in Article

Reference Format

1. R Begg,J Kamruzzaman,R Sarkar (2006). Neural Networks in Healthcare. Neural Networks in Healthcare
2. Lippincott Williams,& Wilkins (2005). DCG interpretation made incredibly easy. DCG interpretation made incredibly easy
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7. Yu Hen,Hu Applications of Artificial Neural Networks for ECG Signal Detection and Classification. Applications of Artificial Neural Networks for ECG Signal Detection and Classification

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md. Nasir Uddin. 2016. "ECG Arryhthmia Classifier". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 16 (GJRE Volume 16 Issue F3).

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GJRE Volume 16 Issue F3

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-F Classification FOR Code: 290903p

Submission ReceivedDecember 7, 2015
Peer Review Double Blind
Handling Editor
Accepted January 2, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

March 29, 2016

Language

English

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Article Matrices

Total Score: 108

Country: Malaysia

Subject: Global Journal of Research in Engineering

Authors: Md. Nasir Uddin, MM Rashid, MG Mostafa, Belayet H, SM Salam, NA Nithe, MW Rahman, S Halder (PhD/Dr. count: 0)

View Count (all-time): 358

Total Views (Real + Logic): 967

Total Downloads (simulated): 58

Publish Date: 2016 01, Fri

Monthly Totals (Real + Logic):

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Total Views: 967

Total Downloads: 58

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