ECG Signals Deep Compressive Sensing Framework Based on Multiscale Feature Fusion and SE Block

ECG Signals Deep Compressive Sensing Framework Based on Multiscale Feature Fusion and SE Block

Electrocardiogram (ECG) is nowadays an important technology to be applied in the clinical diagnosis for the detection of the heart disease. But the large storage and high-burden transmission of the ECG data is a challenge. Therefore, the compressive sensing (CS) is appropriate to deal with those sig...

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Bibliographic Details
Main Authors: Jing Hua, Jiawen Zou, Jue Rao, Hua Yin, Jie Chen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep learning
compressive sensing
multi-scale feature
SE block
LSTM
Online Access:https://ieeexplore.ieee.org/document/10253948/

Internet

https://ieeexplore.ieee.org/document/10253948/

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