Quantification of combined method for interferences reduction in multichannel surface electroenterogram.

Area of Science:

• Biomedical Engineering
• Physiological Monitoring
• Signal Processing

Background:

• Surface electroenterogram (EEnG) offers non-invasive intestinal motility monitoring.
• EEnG signals are often obscured by significant physiological interferences, particularly cardiac activity and movement artifacts.
• These interferences affect high-frequency components crucial for accurate motility assessment.

Purpose of the Study:

• To quantify the effectiveness of a combined empirical mode decomposition (EMD) and independent component analysis (ICA) method.
• To remove cardiac and movement interferences from multichannel surface EEnG signals.
• To enhance the robustness of non-invasive intestinal motility indicators derived from surface EEnG.

Main Methods:

• Utilized a combined EMD and ICA approach for interference removal.
• Analyzed multichannel surface EEnG recordings from five sessions.
• Calculated signal-to-ECG interference ratio (S/I) and energy variation over 2 Hz (EF2) as key parameters.

Main Results:

• Processed EEnG signals exhibited a significantly higher S/I ratio compared to original signals.
• The combined method effectively attenuated interference energy, improving S/I.
• Movement artifacts were successfully cancelled, reducing non-physiological EF2 variations.
• A higher correlation coefficient was observed between internal and surface EF2 after processing.

Conclusions:

• The combined EMD-ICA method effectively reduces high-frequency interferences in surface EEnG.
• This approach provides more robust non-invasive indicators of intestinal motility.
• The technique holds promise for improving the clinical utility of surface EEnG.