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Wavelet denoising of vaginal pulse amplitude
Author(s) -
Prause Nicole,
Williams Kameryn,
Bosworth Ken
Publication year - 2010
Publication title -
psychophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.661
H-Index - 156
eISSN - 1469-8986
pISSN - 0048-5772
DOI - 10.1111/j.1469-8986.2009.00941.x
Subject(s) - wavelet , signal (programming language) , noise reduction , artifact (error) , photoplethysmogram , noise (video) , amplitude , pulse (music) , artificial intelligence , pattern recognition (psychology) , computer science , speech recognition , computer vision , image (mathematics) , optics , physics , telecommunications , filter (signal processing) , detector , programming language
Vaginal pulse amplitude (VPA) has been the most commonly analyzed signal of the vaginal photoplethysmograph. Frequent, large, and variable‐morphology artifacts typically have crowded this signal. These artifacts usually were corrected by hand, which may have introduced large differences in outcomes across laboratories. VPA signals were collected from 22 women who viewed a neutral film and a sexual film. An automated, wavelet‐based, denoising algorithm was compared against the uncorrected signal and the signal corrected in the typical manner (by hand). The automated wavelet denoising resulted in the same pattern of results as the hand‐corrected signal. The wavelet procedure automated artifact reduction in the VPA, and this mathematical instantiation permits the comparison of competing methods to improve signal:noise in the future.