Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano (UPV), Ciudad Politécnica de Innovación - Cubo Azul - Edif, 8B - Acceso N, Camino de Vera s/n, 46022 Valencia, Spain.
Med Eng Phys. 2011 May;33(4):446-55. doi: 10.1016/j.medengphy.2010.11.009. Epub 2010 Dec 15.
Although the surface electroenterogram (EEnG) is a weak signal contaminated by strong physiological interference, such as ECG and respiration, abdominal surface recordings of the EEnG could provide a non-invasive method of studying intestinal activity. The goal of this work was to develop a modular, active, low-cost and easy-to-use sensor to obtain a direct estimation of the Laplacian of the EEnG on the abdominal surface in order to enhance the quality of bipolar surface monitoring of intestinal activity. The sensor is made up of a set of 3 concentric dry Ag/AgCl ring electrodes and a battery-powered signal-conditioning circuit. Each section is etched on a different printed circuit board (PCB) and the sections are joined to each other by surface mount technology connectors. This means the sensing electrodes can be treated independently for purposes of maintenance and replacement and the signal conditioning circuit can be re-used. A total of ten recording sessions were carried out on humans. The results show that the surface recordings of the EEnG obtained by the active sensor present significantly less ECG and respiration interference than those obtained by bipolar recordings. In addition, bioelectrical sources whose frequency fitted with the slow wave component of the EEnG (SW) were identified by parametric spectral analysis in the surface signals picked up by the active sensors.
尽管表面电肠电图 (EEnG) 是一种受到强烈生理干扰(如心电图和呼吸)污染的微弱信号,但腹部表面的 EEnG 记录可以提供一种非侵入性的方法来研究肠道活动。本工作的目的是开发一种模块化、有源、低成本且易于使用的传感器,以获得腹部表面 EEnG 的拉普拉斯直接估计,从而提高肠道活动的双极表面监测质量。传感器由一组 3 个同心干 Ag/AgCl 环电极和一个电池供电的信号调理电路组成。每个部分都蚀刻在不同的印刷电路板 (PCB) 上,部分通过表面贴装技术连接器连接在一起。这意味着可以独立处理传感电极以进行维护和更换,并且可以重复使用信号调理电路。总共在 10 名人类参与者中进行了 10 次记录。结果表明,主动传感器获得的 EEnG 表面记录显示出的心电图和呼吸干扰明显少于双极记录。此外,通过主动传感器采集的表面信号的参数谱分析,确定了与 EEnG 的慢波分量 (SW) 频率相匹配的生物电源。