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1 Ergebnisse
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Convolutional neural networks for apnea detection from smar..:
Castillo Escario, Yolanda
;
Werthen Brabants, Lorin
;
Groenendaal, Willemijn
..
https://ieeexplore.ieee.org/document/9871396. , 2022
Link:
http://hdl.handle.net/2117/382426
RT Journal T1
Convolutional neural networks for apnea detection from smartphone audio signals: effect of window size
UL https://suche.suub.uni-bremen.de/peid=base-ftupcatalunyair:oai:upcommons.upc.edu:2117_382426&Exemplar=1&LAN=DE A1 Castillo Escario, Yolanda A1 Werthen Brabants, Lorin A1 Groenendaal, Willemijn A1 Deschrijver, Dirk A1 Jané Campos, Raimon YR 2022 K1 Àrees temàtiques de la UPC::Informàtica::Automàtica i control K1 Sleep apnea syndromes K1 Smartphones K1 Convolution K1 Convolutional neural networks K1 Cost effectiveness K1 Deep neural networks K1 Diagnosis K1 Economic and social effects K1 mHealth K1 Sleep research K1 Apnea detection K1 Audio signal K1 Convolutional neural network K1 Modeling performance K1 Predictive power K1 Signal effects K1 Sleep apnea K1 Sleep disorders K1 Smart phones K1 Window Size K1 algorithm K1 human K1 polysomnography K1 sleep disordered breathing K1 smartphone K1 Algorithms K1 Humans K1 Neural networks K1 Computer K1 Síndromes d'apnea del son K1 Telèfons intel·ligents JF https://ieeexplore.ieee.org/document/9871396 LK http://hdl.handle.net/2117/382426 DO http://hdl.handle.net/2117/382426 SF ELIB - SuUB Bremen
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