Auto-detection of Atrial Fibrillation with Improved Classification and Noise Removal Algorithm along with Dimensionality Reduction Methods-Reference-Cited by-同舟云学术

Auto-detection of Atrial Fibrillation with Improved Classification and Noise Removal Algorithm along with Dimensionality Reduction Methods

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)
language:
Short-container-title:

Author:

Suresh B. Suresh Chander¹,K Kala²,Pavithra S.³,Nithya A. Dernita Maria¹

Affiliation:

1. Easwari Engineering College,Department of Biomedical Engineering,Chennai,India

2. Saveetha School of Engineering,Bioinformatics,Thandalam,India

3. Rajalakshmi Engineering College,Department of Information Technology,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10046660/10046669/10046828.pdf?arnumber=10046828

Reference22 articles.

1. Automated processing of the single-lead electrocardiogram for the detection of obstructive sleep apnoea;chazal;IEEE Transactions on Biomedical Engineering,2003

2. Denoising Baseline Wander Noise from Electrocardiogram Signal using Fast ICA with Multiple Adjustments

3. September. AF Classification from a short single lead ECG recording: the PhysioNet/Computing in Cardiology Challenge 2017;clifford;Computing in Cardiology 2017,0

4. Digital Filters for Real-Time ECG Signal Processing Using Microprocessors

5. Optimized fixed-size kernel models for large data sets

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Developing an Advanced Skin Disease Detection System by Integrating Hybrid Neural Network with Yolo V8 Model;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18