An Analog-Front-End for non-invasive fetal electrocardiography monitoring

Sachin Tom John, P. R. Muduli, A. Mukherjee
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引用次数: 1

Abstract

Fetal electrocardiography (fECG) based assessment techniques are likely to be more effective in ensuring fetal well-being, than currently popular methods based on ultrasound echocardiography and pulse oximetry. Employing Non-invasive procedures for measurement of fECG not only ensures minimal patient discomfort, but also makes the product suitable for wearable applications. However, non-invasive fECG extraction has proven to be difficult due to low amplitudes of fECG signals, attenuation by maternal biological tissues, overlapping spectra with other fetal and maternal bio-signals and low-frequency noise in measurement devices. This paper describes the design of a noise optimized Analog-Front-End (AFE) for a non-invasive fECG monitor. The design criterion laid down for the fECG monitor require it to be an ambulatory, low-power, inexpensive device, interfaced to a smart-phone and capable of running computationally intensive signal processing algorithms. The primary role of the AFE is to filter-out large DC offsets, movement artifacts, high-frequency noise and subsequently amplify and condition the extracted signals before digitization. This noise optimized design makes use of active-electrodes fabricated on small printed circuit boards (PCB). Each PCB is mounted on standard Ag-AgCl electrodes to buffer, filter and amplify abdominal bio-signals as soon as they are detected. The extracted signals are then sent to the fECG monitor PCB for further processing and signal conditioning, before being digitized by a 24-bit analog-to-digital converter (ADC) of an ARM Cortex M3 based system-on-chip (SoC). The monitor is designed to work with supply voltages from 3.6Vdc to 5.5Vdc, allowing it to be powered from a variety of sources; battery packs to USB connectors. Working of the AFE was tested using synthetic signals and elementary biological signals.
用于无创胎儿心电图监测的模拟前端
基于胎儿心电图(fECG)的评估技术在确保胎儿健康方面可能比目前流行的基于超声心动图和脉搏血氧仪的方法更有效。采用非侵入性程序测量fECG不仅确保了患者的最小不适,而且使产品适合可穿戴应用。然而,由于fECG信号的振幅低,母体生物组织的衰减,与其他胎儿和母体生物信号的频谱重叠以及测量设备中的低频噪声,无创提取fECG已被证明是困难的。本文介绍了一种用于无创心电图监测仪的噪声优化模拟前端(AFE)的设计。为fECG监测器制定的设计标准要求它是一种动态、低功耗、廉价的设备,与智能手机相连,能够运行计算密集型信号处理算法。AFE的主要作用是滤除大的直流偏置、运动伪影、高频噪声,随后在数字化之前对提取的信号进行放大和调理。这种噪声优化设计利用了在小型印刷电路板(PCB)上制造的有源电极。每个PCB都安装在标准Ag-AgCl电极上,一旦检测到腹部生物信号,就可以缓冲、过滤和放大。然后将提取的信号发送到fECG监视器PCB进行进一步处理和信号调理,然后通过基于ARM Cortex M3的片上系统(SoC)的24位模数转换器(ADC)进行数字化。该监视器设计用于3.6Vdc至5.5Vdc的电源电压,允许其从各种来源供电;将电池组连接到USB连接器。利用合成信号和基本生物信号对AFE的工作进行了测试。
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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