TY - GEN
T1 - Predicting defibrillation outcome in ventricular fibrillation using ECG with neural network algorithm
AU - Tsai, Shang-Ho
AU - Min-Shan Tsa, P.
AU - Huang, Hsin Chi
AU - Ash Ling, Dean Chang
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
KW - Amplitude spectrum area (AMSA)
KW - Convolution neural network (CNN)
KW - Defibrillation timing
KW - Frequency variation (FY)
KW - Learning
KW - Neural network (NN)
KW - Ventricular fibrillation (YF)
UR - http://www.scopus.com/inward/record.url?scp=85066782060&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2019.8702288
DO - 10.1109/ISCAS.2019.8702288
M3 - Conference contribution
AN - SCOPUS:85066782060
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
Y2 - 26 May 2019 through 29 May 2019
ER -