Abstract:
: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.
journal_name
Med Biol Eng Computjournal_title
Medical & biological engineering & computingauthors
Ye Y,Garcia-Casado J,Martinez-de-Juan JL,Ponce JLdoi
10.1007/s11517-007-0189-7subject
Has Abstractpub_date
2007-06-01 00:00:00pages
541-51issue
6eissn
0140-0118issn
1741-0444journal_volume
45pub_type
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