Classification of ECG beats using optimized decision tree and adaptive boosted optimized decision tree
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-021-02009-x.pdf
Reference31 articles.
1. Mendis, S.: Global Status Report on Noncommunicable Diseases, World health organization, 2014
2. Kumari, L.V.R., Padma, Y., Sai, N.B., Viswada, K.: FPGA based arrhythmia detection. Proc. Comput. Sci. 57, 970–979 (2015)
3. Oladiran, O., Nwosu, I.: Stroke risk stratification in atrial fibrillation: a review of common risk factors. J. Community Hosp. Intern. Med. Perspect. 9(2), 113–120 (2019). https://doi.org/10.1080/20009666.2019.1593781
4. Mohebbanaaz, Y., Padma, S., Rajani kumara, L.: A review on arrhythmia classification using ECG signals. In: 2020 IEEE International Students' Conference on Electrical Electronics and Computer Science (SCEECS), Bhopal, India, 2020, pp. 1–6. https://doi.org/10.1109/SCEECS48394.2020.9
5. Dutta, S., Chatterjee, A., Munshi, S.: Correlation technique and least square support vector machine combine for frequency domain based ECG beat classification. Med. Eng. Phys. 32(2), 1161–1169 (2010)
Cited by 54 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. A coordinated adaptive multiscale enhanced spatio-temporal fusion network for multi-lead electrocardiogram arrhythmia detection;Scientific Reports;2024-09-06
2. An attention-augmented bidirectional LSTM-based encoder–decoder architecture for electrocardiogram heartbeat classification;Transactions of the Institute of Measurement and Control;2024-05-29
3. Hybrid FNN-DNN Approach for Early Detection of Cardiac Arrhythmia: A Novel Framework for Enhanced Diagnosis;VAWKUM Transactions on Computer Sciences;2024-05-18
4. Improving deep learning in arrhythmia Detection: The application of modular quality and quantity controllers in data augmentation;Biomedical Signal Processing and Control;2024-05
5. Transfer Learning Based EfficientNet for Knee Osteoarthritis Classification;Traitement du Signal;2024-04-30
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3