Hardware Simulation of BRAM Digital FIR filter for Noise Removal of ECG Signal

Shruti Jain
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Abstract

The different ECG systems may have different computer programs, each using a certain algorithm(s) to do its interpretation. A physician is only as good as their training and their effort to continually educate and improve themselves. The motivation of this paper is to optimize the Delay and Power constraints in portable ECG devices. In this paper, the authors can get high computational density which helps make Flexible architecture of portable devices. The main aim of this paper is to design and implement a different circuit to denoise ECG signals using an FPGA Zedboard board. The higher sampling rate is the advantage of FPGA for designing a digital filter application over DSP chips and it is also cost-efficient than ASIC for moderate volume application. We can pre-process the ECG signal using the VIVADO tool. In this paper, the authors have used fixed-point representation with variable length.
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用于心电信号去噪的BRAM数字FIR滤波器的硬件仿真
不同的心电系统可能有不同的计算机程序,每个程序都使用特定的算法来进行解释。一名医生的优秀程度取决于他们所接受的训练以及他们不断教育和提高自己的努力。本文的动机是优化便携式心电设备的延迟和功率约束。在本文中,作者可以获得较高的计算密度,这有助于实现便携式设备的灵活架构。本文的主要目的是利用FPGA Zedboard板设计和实现一种不同的心电信号降噪电路。较高的采样率是FPGA相对于DSP芯片设计数字滤波器应用的优势,对于中等体积的应用,它也比ASIC更具成本效益。我们可以使用VIVADO工具对心电信号进行预处理。在本文中,作者使用了变长不动点表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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