Grupo de Bioelectrónica (I3BH), Universidad Politécnica de Valencia, Camino de Vera s/n Ed.7F, Valencia, Spain.
Ann Biomed Eng. 2010 Jul;38(7):2358-70. doi: 10.1007/s10439-010-9991-8. Epub 2010 Mar 16.
Surface electroenterogram (EEnG) recording is a novel technique for monitoring intestinal motility non-invasively. However, surface EEnG recordings are contaminated by cardiac activity, the respiratory artefact, movement artefacts and other types of interference. The goal of this work is to remove electrocardiogram (ECG) interference and movement artefacts from surface EEnG by means of a combined method of empirical mode decomposition and independent component analysis. For this purpose, 11 recording sessions were conducted on animal models. In order to quantify the effectiveness of the proposed method, several parameters were calculated from each session: signal-to-ECG interference ratio (S/I), energy over 2 Hz (EF2) which quantifies the intestinal motility index of external EEnG recording and the variation of EF2. The proposed method removes both ECG interference and movement artefacts from surface EEnG, obtaining a significantly higher S/I ratio and considerably reducing the non-physiological variation of EF2. Furthermore, after applying the combined method, the correlation coefficient between internal recording EF2 and surface recording EF2 rises significantly. The proposed method could therefore be a useful tool to reduce high frequency interference in EEnG recording and to provide more robust non-invasive intestinal motility indexes.
体表胃肠电图（EEnG）记录是一种非侵入性监测肠道运动的新技术。然而，体表 EEnG 记录受到心电活动、呼吸伪影、运动伪影和其他类型干扰的污染。本工作的目的是通过经验模态分解和独立成分分析相结合的方法，从体表 EEnG 中去除心电图（ECG）干扰和运动伪影。为此，在动物模型上进行了 11 次记录。为了量化所提出方法的有效性，从每次记录中计算了几个参数：信号与 ECG 干扰比（S/I）、量化外部 EEnG 记录肠道运动指数的 2Hz 以上能量（EF2）以及 EF2 的变化。所提出的方法从体表 EEnG 中去除了 ECG 干扰和运动伪影，获得了更高的 S/I 比值，并大大降低了 EF2 的非生理性变化。此外，应用联合方法后，内部记录 EF2 和表面记录 EF2 之间的相关系数显著升高。因此，该方法可能是减少 EEnG 记录中高频干扰并提供更稳健的非侵入性肠道运动指标的有用工具。
