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Updated: Sep 16, 2025

A Method to Study Adaptation to Left-Right Reversed Audition
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TAC-ECG:一种基于交叉模式对比学习和低级卷积适配器的电心图任务适应分类方法

Rongjia Wang1, Xunde Dong1, Xiuling Liu2

  • 1School of Automation Science and Engineering, South China University of Technology, Guangzhou, 510641, China.

Computer methods and programs in biomedicine
|July 11, 2025
PubMed
概括

本研究引入了ECG (TAC-ECG) 方法的灵活任务适应分类. TAC-ECG有效地适应深度学习模型,用于各种类别的心电图分类任务,最低限度的再培训,降低成本和提高临床效用.

关键词:
相反的学习学习.电心电图 (ECG) 是一种心电图.低级卷积适配器低级卷积适配器任务适应性 任务适应性

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Electrocardiogram01:29

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Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
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Classification of Signals

In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
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Correlation between ECG and Cardiac Cycle

The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
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