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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 6 | Month- June 2024
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Paper Title
STUDY AND REVIEW OF ARRITHMIYA DETECTION AND CLASSIFICATION USING MACHINE LEARNING
Authors
Abhay Nehete, Dr. Sharad W Mohod
Keywords
data mining, arrhythmia, ECG
Abstract
Due to its simplicity and low cost, analyzing an electrocardiogram (ECG) is the most common technique for detecting cardiac arrhythmia. The massive amount of ECG data collected every day, in home and hospital, may preclude data review by human operators/technicians. Therefore, several methods are proposed for either fully automatic arrhythmia detection or event selection for further verification by human experts. In the last decades, several works were developed to produce automatic ECG-based heartbeat classification methods. In this work, we survey the current state-of-the-art methods of ECG-based automated abnormalities heartbeat classification. There are number of challenges in detection of arrhythmias in heart beat dataset. Although many researchers have suggested various approaches to resolve them, still there are requirements for invention and improvements
IJCRT's Publication Details
Unique Identification Number - IJCRT2104511
Paper ID - 206159
Page Number(s) - 4210-4215
Pubished in - Volume 9 | Issue 4 | April 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Abhay Nehete, Dr. Sharad W Mohod, "STUDY AND REVIEW OF ARRITHMIYA DETECTION AND CLASSIFICATION USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 4, pp.4210-4215, April 2021, Available at :http://www.ijcrt.org/papers/IJCRT2104511.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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