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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
IMPLEMENTATION OF FIVE CLASSES OF AUTOMATED ECG ARRHYTHMIA CLASSIFICATION USING KNN CLASSIFIER
Authors
Dr. Yogesh G S, Dr. Vedavathi G R, Dr. S G Hiremath
Keywords
Arrhythmia, MIT/BIH database, KNN classifier, Higher order statistics, Temporal feature
Abstract
Electrocardiography (ECG) signals are classified into five different classes of signals namely, normal, PVC, LBBB, RBBB, and APC to establish the abnormality of the signal. Initially, to find the peaks in the ECG signal Pan-Tompkins algorithm is used. Then, some of the features such as HOS, min-max features, and temporal, are carried out on MIT/BIH arrhythmia database which consists of the huge number of signals including the label of normal and arrhythmia signal. The performance of the classifier is measured with other classifiers; the results showed that KNN provides higher classification accuracy than the other classifiers.
IJCRT's Publication Details
Unique Identification Number - IJCRT2102076
Paper ID - 203032
Page Number(s) - 635-640
Pubished in - Volume 9 | Issue 2 | February 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Dr. Yogesh G S, Dr. Vedavathi G R, Dr. S G Hiremath, "IMPLEMENTATION OF FIVE CLASSES OF AUTOMATED ECG ARRHYTHMIA CLASSIFICATION USING KNN CLASSIFIER", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 2, pp.635-640, February 2021, Available at :http://www.ijcrt.org/papers/IJCRT2102076.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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