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1 Ergebnisse
1
CNN Networks to Classify Cardiopulmonary Signals Redes CNN ..:
, In:
2022 Global Medical Engineering Physics Exchanges/ Pan American Health Care Exchanges (GMEPE/PAHCE)
,
Mayorga, P.
;
Valdez, J. A.
;
Druzgalski, C.
.. - p. 1-4 , 2022
Link:
https://doi.org/10.1109/GMEPE/PAHCE55115.2022.9757779
RT T1 <cTitle>2022 Global Medical Engineering Physics Exchanges/ Pan American Health Care Exchanges (GMEPE/PAHCE)</cTitle>: T1 <Title>CNN Networks to Classify Cardiopulmonary Signals Redes CNN en Clasificación de Señales Cardiopulmonares</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9757779&Exemplar=1&LAN=DE A1 Mayorga, P. A1 Valdez, J. A. A1 Druzgalski, C. A1 Zeljkovic, V. A1 Quintero Lopez, L. A. YR 2022 SN 2327-817X K1 Heart K1 Pandemics K1 Convolution K1 Lung K1 Medical services K1 Feature extraction K1 Classification algorithms K1 convolutional neural networks (CNN) K1 ConvNet K1 lung sounds (LS) K1 heart sounds (HS) K1 cardiopulmonary sounds SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/GMEPE/PAHCE55115.2022.9757779 DO https://doi.org/10.1109/GMEPE/PAHCE55115.2022.9757779 SF ELIB - SuUB Bremen
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