ECG Arryhthmia Classifier

α
Md. Nasir Uddin
Md. Nasir Uddin
σ
MM Rashid
MM Rashid
ρ
MG Mostafa
MG Mostafa
Ѡ
Belayet H
Belayet H
¥
SM Salam
SM Salam
§
NA Nithe
NA Nithe
χ
MW Rahman
MW Rahman
ν
S Halder
S Halder
α International Islamic University Malaysia 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
  1. R Begg,J Kamruzzaman,R Sarkar (2006). Neural Networks in Healthcare.
  2. Lippincott Williams,& Wilkins (2005). DCG interpretation made incredibly easy.
  3. R H John,D Adlam,J Hampton (2008). The ECG in practice.
  4. V Scanlon,T Sanders (2007). Essentials of anatomy and physiology.
  5. W M Peter,T Lawrie (1974). An introduction to automated electrocardiogram interpretation.
  6. J Webster,J Clark (1998). Medical instrumentation: application and design.
  7. Yu Hen,Hu Applications of Artificial Neural Networks for ECG Signal Detection and Classification.

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. \u201cECG Arryhthmia Classifier\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 16 (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
Classification
GJRE-F Classification: FOR Code: 290903p
Version of record

v1.2

Issue date

March 29, 2016

Language
en
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Published Article

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.

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ECG Arryhthmia Classifier

Md. Nasir Uddin
Md. Nasir Uddin
MM Rashid
MM Rashid
MG Mostafa
MG Mostafa
Belayet H
Belayet H
SM Salam
SM Salam
NA Nithe
NA Nithe
MW Rahman
MW Rahman
S Halder
S Halder

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