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Adaptive filtering of ECG interference on surface EEnGs based on signal averaging
Javier Garcia-Casado1, Jose L Martinez-de-Juan, Jose L Ponce
1Centro de Investigación e Innovación en Bioingeniería, Universidad Politécnica de Valencia, Camino de Vera s/n Ed.7F, 46022 Valencia, Spain. jgarciac@eln.upv.es
Physiological Measurement
|April 11, 2006
Summary
This study introduces an adaptive filtering method to remove cardiac signal interference from external electroenterograms (EEnG) in dogs. The technique significantly improves signal quality, enabling more accurate non-invasive monitoring of intestinal motility.
Area of Science:
- Biomedical Engineering
- Gastroenterology
- Signal Processing
Background:
- External electroenterogram (EEnG) records small bowel myoelectrical activity non-invasively.
- Surface EEnG signals are weak and susceptible to interference from cardiac activity, respiration, and movement.
- Accurate non-invasive monitoring of gastrointestinal signals is crucial for understanding gut function.
Purpose of the Study:
- To develop and validate an adaptive filtering technique for canceling electrocardiogram (ECG) interference in canine surface EEnGs.
- To assess the effectiveness of the filtering method in improving the signal-to-interference ratio (SIR) of EEnG signals.
- To evaluate the method's ability to preserve intestinal slow wave activity for robust non-invasive motility indicators.
Main Methods:
- An adaptive filtering technique utilizing R-wave time-locking was employed to identify and remove ECG interference.
- Twelve recording sessions were conducted on six conscious, fasting dogs.
- Signal-to-interference ratio (SIR) was measured before and after filtering.
Main Results:
- The adaptive filtering technique increased the SIR of raw surface EEnG from 16.7 +/- 6.5 dB to 31.9 +/- 4.0 dB.
- The method successfully removed ECG interference while preserving the intestinal slow wave activity.
- Non-invasive intestinal motility indicators derived from filtered EEnGs showed a correlation coefficient of 0.68 +/- 0.09 with internal intestinal activity.
Conclusions:
- The proposed adaptive filtering technique effectively cancels cardiac interference in canine surface EEnGs.
- This method provides a robust approach for obtaining non-invasive indicators of intestinal motility.
- The technique holds potential for broader applications in non-invasive biological signal recordings affected by cardiac interference.