FPGA Implementation of DC Bias Removal Filters – A Case Study with an ECG Signal

G. Sasi, R. Vimala, S. S. Sivaraju, R. Ramya, V. Elamaran
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引用次数: 1

Abstract

The study and processing of bio-signals and the perception of clinical images is an important part of modern medical science, technology and engineering. In each registered electrocardiogram (ECG) data, there are two major noise sources such as the power-line interface and baseline wandering noise. A low-frequency noise of about 0.5 to 0.6 Hz is the second, i.e. the baseline wander (closer to a dc). This wandering baseline is practically due to inadequate skin sensitivity to electrodes, i.e. due to relaxed interaction with electrodes or poor positioning or even tightly positioned electrodes. To suppress the DC offset, the conventional DC bias removal filter and its three variants are used in this study. All the circuits were synthesized on an Altera Cyclone IV FPGA EP4CE115F29C7 device using Quartus II software v13.1 tool. Finally, the simulation results of device utilization, clock speed, and power dissipation are compared among all the designs.
直流偏置消除滤波器的FPGA实现-以心电信号为例
生物信号的研究和处理以及临床图像的感知是现代医学科学、技术和工程的重要组成部分。在每一组心电图数据中,主要存在两大噪声源:电力线接口噪声和基线漫游噪声。第二种是约0.5至0.6 Hz的低频噪声,即基线漂移(更接近直流)。这种游离基线实际上是由于皮肤对电极的敏感性不足,即由于与电极的相互作用放松或电极定位不佳甚至定位紧密。为了抑制直流偏置,本研究使用了传统的直流偏置去除滤波器及其三种变体。所有电路均在Altera Cyclone IV FPGA EP4CE115F29C7器件上使用Quartus II软件v13.1工具进行合成。最后,对各设计方案的器件利用率、时钟速度和功耗进行了仿真比较。
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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