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A FPGA system for QRS complex detection based on Integer Wavelet Transform

机译:基于整数小波变换的QRS复杂度检测FPGA系统

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A FPGA system for QRS complex detection based on Integer Wavelet TransformDue to complexity of their mathematical computation, many QRS detectors are implemented in software and cannot operate in real time. The paper presents a real-time hardware based solution for this task. To filter ECG signal and to extract QRS complex it employs the Integer Wavelet Transform. The system includes several components and is incorporated in a single FPGA chip what makes it suitable for direct embedding in medical instruments or wearable health care devices. It has sufficient accuracy (about 95%), showing remarkable noise immunity and low cost. Additionally, each system component is composed of several identical blocks/cells what makes the design highly generic. The capacity of today existing FPGAs allows even dozens of detectors to be placed in a single chip. After the theoretical introduction of wavelets and the review of their application in QRS detection, it will be shown how some basic wavelets can be optimized for easy hardware implementation. For this purpose the migration to the integer arithmetic and additional simplifications in calculations has to be done. Further, the system architecture will be presented with the demonstrations in both, software simulation and real testing. At the end, the working performances and preliminary results will be outlined and discussed. The same principle can be applied with other signals where the hardware implementation of wavelet transform can be of benefit.
机译:一种基于整数小波变换的QRS复杂检测的FPGA系统由于其数学计算的复杂性,许多QRS检测器是通过软件实现的,因此无法实时运行。本文提出了一种基于硬件的实时解决方案。为了过滤ECG信号并提取QRS复数,它使用了整数小波变换。该系统包括多个组件,并集成在单个FPGA芯片中,这使其适合直接嵌入医疗器械或可穿戴医疗设备中。它具有足够的精度(大约95%),显示出显着的抗噪性和低成本。此外,每个系统组件都由几个相同的模块/单元组成,这使设计具有很高的通用性。当今现有FPGA的容量允许将数十个检测器放置在一个芯片中。在对小波进行了理论介绍并回顾了它们在QRS检测中的应用后,将展示如何对一些基本小波进行优化以简化硬件实现。为此,必须向整数算术迁移并在计算中进行其他简化。此外,系统架构将在软件仿真和实际测试中均带有演示。最后,将概述和讨论工作绩效和初步结果。相同的原理可以应用于其他信号,其中小波变换的硬件实现可能会有所帮助。

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