Author:
Clayton R. H.,Murray A.,Campbell R. W. F.
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Reference15 articles.
1. Computers in Cardiology 1991 Conf;S. G. Artis,1991
2. Barro, S., Ruiz, R., Cabello, D., andMira, J. (1989): ‘Algorithmic sequential decision making in the frequency domain for life threatening ventricular arrhythmias and imitative artifacts: a diagnostic system’,J. Biomed. Eng.,11, pp. 320–328
3. Beale, R., andJackson, T. (1990): ‘Neural computing, an introduction’ (Adam Hilger, Bristol)
4. Computers in Cardiology 1991. Conf.;G. Bortolan,1991
5. Chen, S., Thakor, N. V., andMower, M. M. (1987): ‘Ventricular fibrillation detection by a regression test on the autocorrelation function,’Med. Biol. Eng. Comput.,25, pp. 241–249
Cited by
58 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. Smart Textiles to Monitor Electrocardiograph;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15
2. On Database, Segmentation and Classifier Influence in Ventricular Fibrillation Detection;2023 International Symposium on Signals, Circuits and Systems (ISSCS);2023-07-13
3. Classification of Cardiac Arrhythmia Using Machine Learning Algorithms;2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS);2023-04-19
4. Factor Analysis for the Performance Impacts of Real-Time Ventricular Fibrillation Detection on Microcontroller;IEEE Access;2023
5. IoT-based ECG monitoring for arrhythmia classification using Coyote Grey Wolf optimization-based deep learning CNN classifier;Biomedical Signal Processing and Control;2022-07