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A Deep Learning Approach for Atrial Fibrillation Classifica..:
Bader Aldughayfiq
;
Farzeen Ashfaq
;
N. Z. Jhanjhi
.
Machine Learning and Artificial Intelligence in Diagnostics. , 2023
Link:
https://doi.org/10.3390/diagnostics13142442
RT Journal T1
A Deep Learning Approach for Atrial Fibrillation Classification Using Multi-Feature Time Series Data from ECG and PPG
UL https://suche.suub.uni-bremen.de/peid=base-ftmdpi:oai:mdpi.com:_2075-4418_13_14_2442_&Exemplar=1&LAN=DE A1 Bader Aldughayfiq A1 Farzeen Ashfaq A1 N. Z. Jhanjhi A1 Mamoona Humayun PB Multidisciplinary Digital Publishing Institute YR 2023 K1 atrial fibrillation K1 photoplethysmogram K1 electrocardiogram K1 deep learning K1 BiLSTM network K1 1D convolution neural networks JF Machine Learning and Artificial Intelligence in Diagnostics LK http://dx.doi.org/https://doi.org/10.3390/diagnostics13142442 DO https://doi.org/10.3390/diagnostics13142442 SF ELIB - SuUB Bremen
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