Certain Examination on ECG Classification using Hybrid Machine Learning Models-Reference-Cited by-同舟云学术

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Certain Examination on ECG Classification using Hybrid Machine Learning Models

Published:2023-12-09 Issue: Volume:163 Page:1-7
ISSN:
Container-title:2023 Third International Conference on Smart Technologies, Communication and Robotics (STCR)
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Author:

C Ganesh Babu¹,B Karthikeyan²,R Dinesh Kumar J³,S Priyanka G⁴,T Anuradha⁵,K Priyadharsini³

Affiliation:

1. Bannari Amman Institute of Technology,Sathymangalam

2. UR Rao Satellite Centre Old Airport Road,Bangalore

3. Sri Krishna College of Engineering and Technology,Coimbatore

4. PSG College of Technology,Department of Instrumentation and Control Engineering,Coimbatore

5. BSNL,Karaikal,Puducherry

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10392286/10396847/10397059.pdf?arnumber=10397059

Reference18 articles.

1. Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals

2. ECG Classification Performing Feature Extraction Automatically Using a Hybrid CNN-SVM Algorithm

3. Classification of ECG Arrhythmia using Artificial Intelligence techniques (RBF and SVM)

4. ECG-Signal Classification Using SVM with Multi-feature

5. Application of Machine Learning on ECG Signal Classification Using Morphological Features

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