新颖的Pan & Tompkins QRS检测器的简单决策阶段及其fpga实现

El Hassan El Mimouni, Mohammed Karim
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引用次数: 19

摘要

QRS检测几乎是所有ECG应用的切入点。本文提出了一种新的基于fpga的简单高效的Pan和Tompkins QRS检测算法的实现方法。本设计采用赛灵思设计工具System Generator作为DSP实现。在作者看来,该模型的具体特点是简单、高效和真实,即从之前最小的峰值更新阈值以进行下一个峰值检测;此外,该模型完全是用MCode块简单设计的。硬件设计通过从MIT-BIH心律失常数据库获得的5个30分钟的数据记录进行测试。它的准确率超过96%,因为它知道5条记录中有4条代表了数据库中最糟糕的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel simple decision stage of Pan & Tompkins QRS detector and its FPGA-Based implementation
The QRS detection is the entry point for almost all the ECG applications. This paper presents a new simple and efficient FPGA-Based implementation of the well-known Pan and Tompkins QRS detection algorithm. The design is implemented using Xilinx design tool, System Generator for DSP. In the authors' view, the specific features, that is simplicity, efficiency and authenticity, of the proposed model lies in the fact that the threshold value is updated for the next peak detection, from the previous smallest peak; in addition, the model is entirely designed simply with MCode blocks. The hardware design is tested with five 30 minutes data records obtained from the MIT-BIH Arrhythmia database. Its accuracy exceeds 96%, knowing that four records among the five represent the worst cases in the database.
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