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1 Ergebnisse
1
Non-invasive Fetal ECG Signal Quality Assessment based on U..:
, In:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
,
Shi, Xintong
;
Yamamoto, Kohei
;
Ohtsuki, Tomoaki
.. - p. 1296-1299 , 2022
Link:
https://doi.org/10.1109/EMBC48229.2022.9870908
RT T1 <cTitle>2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</cTitle>: T1 <Title>Non-invasive Fetal ECG Signal Quality Assessment based on Unsupervised Learning Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9870908&Exemplar=1&LAN=DE A1 Shi, Xintong A1 Yamamoto, Kohei A1 Ohtsuki, Tomoaki A1 Matsui, Yutaka A1 Owada, Kazunari YR 2022 SN 2694-0604 K1 Self-organizing feature maps K1 Fetal heart rate K1 Estimation K1 Pattern classification K1 Electrocardiography K1 Feature extraction K1 Quality assessment K1 Non-invasive fetal electrocardiogram K1 Signal quality assessment K1 Unsupervised learning K1 Autoencoder K1 Self-organizing map SP 1296 OP 1299 LK http://dx.doi.org/https://doi.org/10.1109/EMBC48229.2022.9870908 DO https://doi.org/10.1109/EMBC48229.2022.9870908 SF ELIB - SuUB Bremen
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