Predicting defibrillation outcome in ventricular fibrillation using ECG with neural network algorithm

Shang-Ho Tsai, P. Min-Shan Tsa, Hsin Chi Huang, Dean Chang Ash Ling

研究成果: Conference contribution

摘要

This work proposes a system to predict the outcomes of the defibrillation during the period of ventricular fibrillation. Accurate outcomes can avoid inefficient defibrillation that causes severe myocardial injury. In this system, we apply a neural network model and use the frequency components of ECG signals as training data to determine the neuron coefficients. The trained system is then validated (tested) using different set of data to justify the performance. Experimental results are provided to show superior performance of the proposed system.

原文English
主出版物標題2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728103976
DOIs
出版狀態Published - 1 一月 2019
事件2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan
持續時間: 26 五月 201929 五月 2019

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
2019-May
ISSN(列印)0271-4310

Conference

Conference2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
國家Japan
城市Sapporo
期間26/05/1929/05/19

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  • 引用此

    Tsai, S-H., Min-Shan Tsa, P., Huang, H. C., & Ash Ling, D. C. (2019). Predicting defibrillation outcome in ventricular fibrillation using ECG with neural network algorithm. 於 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings [8702288] (Proceedings - IEEE International Symposium on Circuits and Systems; 卷 2019-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2019.8702288