標題: PREDICTING DEFIBRILLATION OUTCOME IN VENTRICULAR FIBRILLATION USING ECG WITH NEURAL NETWORK ALGORITHM
作者: Tsai, Shang-Ho (Lawrence)
Tsai, Min-Shan
Huang, Hsin-Chi
Ling, Dean-Chang (Ash)
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: neural network (NN);convolution neural network (CNN);learning;amplitude spectrum area (AMSA);ventricular fibrillation (VF);defibrillation timing;frequency variation (FV)
公開日期: 1-Jan-2019
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.
URI: http://hdl.handle.net/11536/152953
ISBN: 978-1-7281-0397-6
ISSN: 0271-4302
期刊: 2019 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
起始頁: 0
結束頁: 0
Appears in Collections:Conferences Paper