Heart failure classification using deep learning to extract spatiotemporal features from ECG

Heart failure classification using deep learning to extract spatiotemporal features from ECG

Abstract Background Heart failure is a syndrome with complex clinical manifestations. Due to increasing population aging, heart failure has become a major medical problem worldwide. In this study, we used the MIMIC-III public database to extract the temporal and spatial characteristics of electrocar...

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Bibliographic Details
Main Authors: Chang-Jiang Zhang, Yuan-Lu, Fu-Qin Tang, Hai-Peng Cai, Yin-Fen Qian, Chao-Wang
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Heart failure
MIMIC- III
Deep learning
CNN-LSTM-SE model
Online Access:https://doi.org/10.1186/s12911-024-02415-4

Internet

https://doi.org/10.1186/s12911-024-02415-4

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