Comparison of FCM, PCA and WT techniques for classification ECG arrhythmias using artificial neural network-Reference-Cited by-同舟云学术

Comparison of FCM, PCA and WT techniques for classification ECG arrhythmias using artificial neural network

Published:2007-08 Issue:2 Volume:33 Page:286-295
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Ceylan Rahime,Özbay Yüksel

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference35 articles.

1. Classification of heart rate data using artificial neural network and fuzzy equivalence relation;Acharya;The Journal of the Pattern Recognition Society,2002

2. Castellano, G., & Fanelli, A. M. (2000). A self-organizing neural fuzzy inference network. In Proceedings of IEEE International Joint Conference on Neural Networks (Vol. 5), 14–19 Italy.

3. Fuzzy inference and rule extraction using a neural network;Castellano;Neural Network World Journal,2000

4. The control of blood glucose in the critical diabetic patient: a neuro-fuzzy method;Dazzi;Journal of Diabetes and Its Complications,2001

5. Unsupervised feature extraction using neuro-fuzzy approach;De;Fuzzy Sets and Systems,2002

Cited by 123 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. Automated cardiac arrhythmia detection techniques: a comprehensive review for prospective approach;Computer Methods in Biomechanics and Biomedical Engineering;2024-04-02

2. Classification of pathological ECG beats based on wireless body sensor networks and fractional Fourier transform and convolutional neural network;Wireless Networks;2023-11-20

3. Analysis of Cardiovascular Arrhythmia Prediction Using Different Machine Learning Models;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

4. DeepArr: An investigative tool for arrhythmia detection using a contextual deep neural network from electrocardiograms (ECG) signals;Biomedical Signal Processing and Control;2023-08

5. Diagnosing Left Bundle Branch Block in 12-lead Electrocardiogram using Self-Attention Convolutional Neural Networks;2023-06-29