ECG Dimensionality Reduction using PCA and Feature Abstraction Expending ICA Built with Power Spectral Estimation-Reference-Cited by-同舟云学术

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ECG Dimensionality Reduction using PCA and Feature Abstraction Expending ICA Built with Power Spectral Estimation

Published:2023-12-21 Issue: Volume:2 Page:314-318
ISSN:
Container-title:2023 9th International Conference on Signal Processing and Communication (ICSC)
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Author:

Bhavani B. Ganga¹,Singh Satyanand²,Suman Sanjay Kumar³,Bhat Nagaraj⁴,Sasirekha D.⁵,Bharath K. R.⁵

Affiliation:

1. St. Martin's Engineering College,Dept. of IT,Secunderabad,Telangana,India

2. Fiji National University,School Electrical & Electronics of Engineering,Fiji

3. St. Martin's Engineering College,Dept. of ECE, and Dean R&D,Secunderabad,Telangana,India

4. RV College of Engineering,Department of ECE,Bengaluru,Karnataka,India

5. Rajalakshmi Engineering,Dept. of ECE,Chennai,TN,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440964/10440724/10441071.pdf?arnumber=10441071

Reference26 articles.

1. Alexander fractional differential window filter for ECG denoising

2. Identification of Normal and Abnormal ECG Using Neural Network;Sharma;International Journal of Information Research and Review,2015

3. A deep convolutional neural network model to classify heartbeats

4. A Multitier Deep Learning Model for Arrhythmia Detection

5. Effective EEG Motion Artifacts Elimination Based on Comparative Interpolation Analysis

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