Key result
The proposed adaptive filtering method effectively cancelled ECG artifacts in both swallow-induced and inspiration-related EMG signals, outperforming the conventional least mean square algorithm.
Population
6 healthy subjects and computer simulations
Comparison
New adaptive filtering method using a least mean… vs Conventional least mean square algorithm
Design
Other
Authors
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May improve esophageal EMG signal fidelity in research; leaves open prospective clinical validation.
A novel adaptive filtering algorithm effectively removes ECG artifacts from intraoesophageal EMG signals without distorting the underlying muscle activity.
CHEN et al. (1994) studied Healthy subjects (n=6). Adaptive filtering method (least mean square algorithm) for ECG artifact cancellation vs. Conventional least mean square algorithm was evaluated on Cancellation of ECG artifacts in EMG signals. The proposed adaptive filtering method effectively cancelled ECG artifacts in both swallow-induced and inspiration-related EMG signals, outperforming the conventional least mean square algorithm.
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