二级交叉采样模拟到数字转换器用于心电图划线和早发性心室收缩检测
IEEE transactions on biomedical circuits and systems
|July 18, 2023
概括
这项研究引入了一种新型的心电图 (ECG) 系统,配备了二级交叉采样模拟到数字转换器 (ADC),用于高效的数据压缩和心律失常检测,在识别早发性心室收缩 (PVC) 方面达到高精度.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 集成电路设计 集成电路设计
背景情况:
- 电心电图 (ECG) 信号处理需要高效的数据压缩和准确的节律失常检测,以便实时监测.
- 传统的模拟数字转换器 (ADC) 可能耗费大量电力并产生大量数据,这给低功耗传感器带来了挑战.
- 现有的系统往往缺乏综合解决方案,用于数据压缩和复杂的特征提取以进行心律失常分析.
研究的目的:
- 开发一种用于ECG划分和心律失常心跳检测的新系统.
- 为实时数据压缩和特征提取实施二级交叉采样ADC.
- 评估系统在检测早发性心室收缩 (PVCs) 的性能.
主要方法:
- 一个新的二级交叉采样ADC与倾斜的采样水平被设计和实施使用180纳米CMOS过程.
- 该系统将采样和量子化分开,选择波形转折点进行量子化,输出数字值和时间.
- 使用三角过器的划分算法识别了信任点,并测量了心电图波形特征,为PVC识别提供了心律失常检测算法.
主要成果:
- 拟议的ADC在稀疏的心电图信号中实现了8.33的数据压缩系数.
- 该系统在使用MIT-BIH和QT数据库评估PVC检测时表现出高性能.
- 检测PVC的关键性能指标包括精度 (97.3%),灵敏度 (89.6%),特异性 (97.8%),PPV (73.3%) 和F1得分 (0.81).
结论:
- 开发的系统有效地整合了ECG信号的数据压缩和心律失常检测.
- 新型二级交叉采样ADC提供了显著的数据节约,适合低功耗应用.
- 该系统为实时ECG分析和PVC检测提供了强大而准确的解决方案.
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