Multi-label Electrocardiogram (ECG) Signal Classification Method Based on Improved Attention Mechanism

Multi-label Electrocardiogram (ECG) Signal Classification Method Based on Improved Attention Mechanism

A multi-label electrocardiogram (ECG) signal classification method based on an improved attention mechanism is provided. A model is constructed for classifying a multi-label (multi-lead) ECG signal. The model has a strong ECG data learning ability, allowing a computer to fully extract a feature of t...

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Hauptverfasser: WANG, Yinglong, XU, Pengyao, XU, Guoxuan, SHU, Minglei, LIU, Zhaoyang
Format: Patent
Sprache:eng
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HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
SURGERY
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Zusammenfassung:A multi-label electrocardiogram (ECG) signal classification method based on an improved attention mechanism is provided. A model is constructed for classifying a multi-label (multi-lead) ECG signal. The model has a strong ECG data learning ability, allowing a computer to fully extract a feature of the ECG signal and construct a data processing channel model. Therefore, the multi-label (multi-lead) ECG signal can be effectively classified, improving the accuracy and precision of classification.