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Predicting Defibrillation Outcome in Ventricular Fibrillati..:
, In:
2019 IEEE International Symposium on Circuits and Systems (ISCAS)
,
Tsai, Shang-Ho
;
Tsai, Min-Shan
;
Huang, Hsin-Chi
. - p. 1-5 , 2019
Link:
https://doi.org/10.1109/ISCAS.2019.8702288
RT T1 <cTitle>2019 IEEE International Symposium on Circuits and Systems (ISCAS)</cTitle>: T1 <Title>Predicting Defibrillation Outcome in Ventricular Fibrillation using ECG with Neural Network Algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8702288&Exemplar=1&LAN=DE A1 Tsai, Shang-Ho A1 Tsai, Min-Shan A1 Huang, Hsin-Chi A1 Ling, Dean-Chang Ash YR 2019 SN 2158-1525 K1 Artificial neural networks K1 Defibrillation K1 Electric shock K1 Training K1 Electrocardiography K1 Biological neural networks K1 Fibrillation K1 neural network (NN) K1 convolution neural network (CNN) K1 learning K1 amplitude spectrum area (AMSA) K1 ventricular fibrillation (VF) K1 defibrillation timing K1 frequency variation (FV) SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS.2019.8702288 DO https://doi.org/10.1109/ISCAS.2019.8702288 SF ELIB - SuUB Bremen
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