Suddent cardiac death predictor based on spatial QRS-T angle feature and support vector machine case study for cardiac disease detection in Indonesia-Reference-Cited by-同舟云学术

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Suddent cardiac death predictor based on spatial QRS-T angle feature and support vector machine case study for cardiac disease detection in Indonesia

Published:2016-12 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)
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Author:

Caesarendra Wahyu,Ismail Rifky,Kurniawan Desita,Karwiky Giky,Ahmad Chaerul

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7829191/7843397/07843440.pdf?arnumber=7843440

Cited by 5 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. Performance Evaluation of Machine Learning Classifiers for Sudden Cardiac Arrest Detection;Journal of The Institution of Engineers (India): Series B;2022-12-28

2. Sudden Cardiac Arrest Detection Based on Temporal Features of ECG Using Support Vector Machine Classifier;Proceedings of International Conference on Industrial Instrumentation and Control;2022

3. Cardiovascular Disease Prediction from Electrocardiogram by Using Machine Learning;International Journal of Online and Biomedical Engineering (iJOE);2020-06-19

4. ECG-based Detection and Prediction Models of Sudden Cardiac Death: Current Performances and New Perspectives on Signal Processing Techniques;International Journal of Online and Biomedical Engineering (iJOE);2019-12-17

5. Deep Learning with a Recurrent Network Structure in the Sequence Modeling of Imbalanced Data for ECG-Rhythm Classifier;Algorithms;2019-06-07

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