Wavelet-Based Denoising Optimization for Endoscopic Gastric Slow-Wave Recordings.

ABSTRACT: New, minimally invasive, endoscopic methods for recording gastric bioelectrical slow waves from the mucosal surface are emerging to address the current limitations of invasive recordings. Filtering techniques for these new methods have relied on protocols developed for invasive recordings. Updated signal processing techniques, such as discrete wavelet transformation (DWT), optimised for endoscopic recording conditions, promise more effective noise removal for these signals. Synthetic signals were constructed using averaged slow-wave data and noise segmented from existing endoscopic gastric bioelectrical recordings from 12 patients. DWT was performed on the synthetic signals using 989 different parameter combinations to remove noise. Savitzky-Golay (SG) filtering was also performed on the s

SUBMITTER: Tremain P 

PROVIDER: S-EPMC12831173 | biostudies-literature | 2026 Jan-Dec

REPOSITORIES: biostudies-literature