A Prediction System for the Effect of Electrical Defibrillation Based on Efficient Combinations for Feature Parameters-Reference-Cited by-同舟云学术

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A Prediction System for the Effect of Electrical Defibrillation Based on Efficient Combinations for Feature Parameters

Published:2022-11-21 Issue: Volume: Page:
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Container-title:2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)
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Author:

Yoshikawa Yuta¹,Okai Takayuki¹,Oya Hidetoshi²,Hoshi Yoshikatsu²,Nakano Kazushi³

Affiliation:

1. Tokyo City University,Graduate School of Integrative Science and Engineering,Tokyo,Japan

2. Tokyo City University,The Department of Computer Science,Tokyo,Japan

3. The University of Electro-Communications,The Graduate School of Informatics,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989531/9990030/09990403.pdf?arnumber=9990403

Reference13 articles.

1. SMOTE: Synthetic Minority Over-sampling Technique

2. Multiple entropies performance measure for detection and localization of multi-channel epileptic EEG

3. Predict Defibrillation Outcome Using Stepping Increment of Poincare Plot for Out-of-Hospital Ventricular Fibrillation Cardiac Arrest

4. Optimizing cardiac resuscitation outcomes using wavelet analysis

5. Comparison of Countershock Prediction Features based on Autoregressive and Fourier Transform Spectral Analysis;nowak;IEEE Comput Cardiol,2008

Cited by 2 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. Prediction of the effect of electrical defibrillation by using spectral feature parameters;Computers in Biology and Medicine;2024-11

2. Prediction of the Effect of Electrical Defibrillation Based on the Wavelet Transform with Pseudo-Differential Operators;2023 5th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE);2023-12-22

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