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Published in:

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

Unique Identifier

JETIR2005162

Page Number

163-168

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Title

Machine Learning Based Cardiac Disease Recognition Approach

ISSN

2349-5162

Cite This Article

"Machine Learning Based Cardiac Disease Recognition Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.163-168, May-2020, Available :http://www.jetir.org/papers/JETIR2005162.pdf

Abstract

Cardiac Arrhythmia is a disease that affects many people during middle or old age and can cause fatal complications. In Cardiac Arrhythmia the heartbeat beats for may be fast or slow than the normal ones. Nowadays, a consistent electrocardiogram (ECG) analysis and classification play an important role in the diagnosis of cardiac abnormalities. ECG provides useful information about the functional status of the heart. Analysis of ECG is of great importance in the detection of cardiac anomalies as it helps to detect abnormalities related to sinus rhythms. The proposed system helps to detect the type of arrhythmia i.e. blockage from the different areas like atrial premature, premature ventricular contraction, premature ventricular contraction, premature ventricular contraction with the help of CNN. Firstly, by evaluating the ECG feature values the heart disease dataset is trained, and by applying the machine learning technique i.e. convolution neural network (CNN) the prediction of the disease can be done.

Key Words

ECG Signal Analysis, Data Mining, Machine Learning Techniques, Cardiac Arrhythmia, Classification, ECG features, CNN. Right Atrium, Right Ventricle, Left Ventricle, Left Atrium.

Cite This Article

"Machine Learning Based Cardiac Disease Recognition Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp163-168, May-2020, Available at : http://www.jetir.org/papers/JETIR2005162.pdf

Publication Details

Published Paper ID: JETIR2005162
Registration ID: 231724
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 163-168
ISSN Number: 2349-5162

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Cite This Article

"Machine Learning Based Cardiac Disease Recognition Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp163-168, May-2020, Available at : http://www.jetir.org/papers/JETIR2005162.pdf




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