少样本学习在心律失常检测中的应用综述.
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| Titel: | 少样本学习在心律失常检测中的应用综述. (Chinese) |
|---|---|
| Alternate Title: | Review of few-shot learning in arrhythmia detection. (English) |
| Autoren: | 甘戴楠, 詹晓林, 黄 丽, 李 嘉 |
| Quelle: | Chinese Medical Equipment Journal; Aug2025, Vol. 46 Issue 8, p104-112, 9p |
| Abstract (English): | The advantages of few-shot learning in arrhythmia detection were introduced. The research progress of few-shot learning strategies, including metric learning, transfer learning and data augmentation, was reviewed when applied toarrhythmia detection. The limitations of few-shot learning in arrhythmia detection were analyzed. It was pointed out that the graph neural network and new incremental learning techniques would be involved in the future development of few-shot learning in arrhythmia detection. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): | 介绍了少样本学习在检测心律失常中的应用优势, 综述了度量学习、迁移学习及数据增强等少样本学习策 略在心律失常检测中的应用现状, 分析了少样本学习应用于心律失常检测的局限性, 指出了探索图神经网络和开 发新型增量学习技术是未来的发展方向。 [ABSTRACT FROM AUTHOR] |
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| Datenbank: | Biomedical Index |
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