KPCA and SVR-based Cardiac Arrhythmia Classification on Electrocardiography Waves-Reference-Cited by-同舟云学术

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KPCA and SVR-based Cardiac Arrhythmia Classification on Electrocardiography Waves

Published:2023-01-23 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT)
language:
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Author:

T.Sanamdikar Sanjay¹,Karajanagi N.M.²,Kulkarni A.V.³,Kamble S.D.⁴

Affiliation:

1. PDEAs College of Engineering Manjari,Instrumentation Dept,Pune,India

2. Government College of Engineering and Research,Instrumentation Dept,Awasari,pune

3. GovT. COE and Research,Instrumentation Dept,Awasari,Pune

4. College of Engineering Manjari,ENTC Dept,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059461/10060864/10061047.pdf?arnumber=10061047

Reference26 articles.

1. Arrhythmia Detection on ECG Signals by Using Empirical Mode Decomposition

2. Cardiac arrhythmia classification using T-complexity measure

3. Arrhythmia Classification via k-Means Based Polyhedral Conic Functions Algorithm

4. Cardiac arrhythmia classification in 12-lead ECG using synthetic atrial activity signal

5. Morphological Heart Arrhythmia Classification Using Hermitian Model of Higher-Order Statistics

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