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1 Ergebnisse
1
A Wearable LSTM Autoencoder-based ECG Detection System to P..:
, In:
2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS)
,
I., Fernando I.A.S.
;
S., Induwara M.
;
N., Isuranga T.H.
... - p. 530-534 , 2023
Link:
https://doi.org/10.1109/ICIIS58898.2023.10253510
RT T1 <cTitle>2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS)</cTitle>: T1 <Title>A Wearable LSTM Autoencoder-based ECG Detection System to Predict Myocardial Infarction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10253510&Exemplar=1&LAN=DE A1 I., Fernando I.A.S. A1 S., Induwara M. A1 N., Isuranga T.H. A1 D., Chithrani P.A. A1 D., Wickramathilaka D.A. A1 A., Rajapaksha R.M.D.H. A1 L., Wijewardhana U. A1 B., Balagalla U. YR 2023 K1 Heart K1 Deep learning K1 Electrocardiography K1 Myocardium K1 Predictive models K1 Mobile applications K1 Servers K1 Myocardial Infarction (MI) K1 ST Segment Elevation K1 Deep Learning (DL) K1 Long Short-Term Memory (LSTM) Autoencoder SP 530 OP 534 LK http://dx.doi.org/https://doi.org/10.1109/ICIIS58898.2023.10253510 DO https://doi.org/10.1109/ICIIS58898.2023.10253510 SF ELIB - SuUB Bremen
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