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Automatic recognition of arrhythmia using a CNN-based broad..:
, In:
2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
,
Li, Shengshi
;
Si, Yujuan
;
Wen, Dunwei
... - p. 237-244 , 2020
Link:
https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech..
RT T1
2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
: T1
Automatic recognition of arrhythmia using a CNN-based broad learning system
UL https://suche.suub.uni-bremen.de/peid=ieee-9251218&Exemplar=1&LAN=DE A1 Li, Shengshi A1 Si, Yujuan A1 Wen, Dunwei A1 Yang, Weiyi A1 Zhang, Gong A1 Zhu, Peiyu YR 2020 K1 Electrocardiography K1 Feature extraction K1 Heart beat K1 Training K1 Convolution K1 Databases K1 Learning systems K1 broad learning system K1 convolutional neural networks K1 Noise robustness K1 incremental learning K1 arrhythmia recognition SP 237 OP 244 LK http://dx.doi.org/https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00050 DO https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00050 SF ELIB - SuUB Bremen
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