对人工智能应用ECG信号数据增强的系统调查
Md Moklesur Rahman1, Massimo Walter Rivolta1, Fabio Badilini2,3
1Dipartimento di Informatica, Università degli Studi di Milano, 20133 Milan, Italy.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
数据增强 (DA) 通过克服数据限制,显著增强了用于心电图 (ECG) 分析的人工智能 (AI) 模型. 这篇综述强调了DA的重点.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 信号处理 信号处理
背景情况:
- 用于心电图 (ECG) 分析的人工智能 (AI) 模型需要大型标记数据集,这些数据很难获得.
- 数据增强 (DA) 策略提供了一种解决方案,通过人工扩展数据集来提高AI模型性能.
- 在心电图分析中DA的有效性和应用仍然是需要全面理解的领域.
结论:
- 数据增强是推动人工智能在心电图诊断和监测中的一个有前途的技术.
- 对优化DA策略的进一步研究可以释放人工智能在心脏病学中的更大潜力.
- 本综述为AI驱动的ECG分析领域的研究人员和开发人员提供了基本的理解.
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