收回:一种创新的机器学习方法,用于对医疗保健设备中的ECG信号进行分类
Journal of healthcare engineering
|August 14, 2025
概括
这篇文章已被撤回. 撤回通知表明,原始出版物不再被作者或期刊编辑认为有效或可靠.
科学领域:
- 科学出版是科学出版.
- 撤回通知 撤回通知
背景情况:
- 科学文献的完整性至关重要.
- 撤销是为了纠正科学记录.
研究的目的:
- 为了正式收回DOI的文章: 10.1155/2022/7194419.
- 通知科学界关于撤回的信息.
主要方法:
- 开始了正式的撤销程序.
- 撤回通知已经公布.
主要成果:
- 文章DOI: 10.1155/2022/7194419已经正式撤回.
- 科学记录已经更新,以反映这一撤回.
结论:
- 收回的文章不应该被引用或使用.
- 维护科学诚信是一个集体责任.
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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
An ECG utilizes electrodes on the skin...
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
An ECG utilizes electrodes on the skin...
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