Ye Y, Garcia-Casado J, Martinez-de-Juan J L, Ponce J L
Centro de Investigación e Innovación en Bioingeniería, Universidad Politécnica de Valencia, and Departamento de Cirugía, Hospital Universitario la Fe de Valencia, Spain.
Med Biol Eng Comput. 2007 Jun;45(6):541-51. doi: 10.1007/s11517-007-0189-7. Epub 2007 May 30.
The surface electroenterogram (EEnG) is a non-invasive method of studying myoelectrical bowel activity. However, surface EEnG recordings are contaminated by cardiac activity, respiratory and motion artifacts, and other sources of interference. The aim of this work is to remove the respiration artifact and the very low frequency components from surface EEnG by means of empirical mode decomposition (EMD). Eleven recording sessions were carried out on canine model. Several parameters were calculated before and after the application of the method: signal-to-interference ratio (S/I ratio) and the attenuation level of the signal and of interference. The results show that the S/I ratio was significantly higher after the application of the method (3.68+/-5.54 dB vs. 10.45+/-3.65 dB), the attenuation level of signal and of interference is -0.49+/-0.80 dB versus -7.26+/-5.42 dB, respectively. Therefore, EMD could be a useful aid in identifying the intestinal slow wave and in removing interferences from EEnG recordings.
体表肠电图（EEnG）是一种研究肠道肌电活动的非侵入性方法。然而，体表EEnG记录会受到心脏活动、呼吸和运动伪迹以及其他干扰源的影响。这项工作的目的是通过经验模态分解（EMD）从体表EEnG中去除呼吸伪迹和极低频成分。在犬模型上进行了11次记录实验。在应用该方法前后计算了几个参数：信干比（S/I比）以及信号和干扰的衰减水平。结果表明，应用该方法后S/I比显著更高（3.68±5.54 dB对10.45±3.65 dB），信号和干扰的衰减水平分别为-0.49±0.80 dB和-7.26±5.42 dB。因此，EMD在识别肠道慢波和去除EEnG记录中的干扰方面可能是一种有用的辅助手段。
