Photoplethysmographic (PPC) signals obtained at Red and Infrared wavelengths are utilized in pulse oximetry for estimation of arterial blood oxygen saturation (SpOJJ. Mostly inaccurate readings in a pulse oximeter arise when PPC signals are contaminated with motion artifacts (MA) due to the movement of patient and hence MA are a common cause of oximeter failure and loss of accuracy. This paper presents performance evaluation of diff erent wavelets for the reduction of MA. Test results on the PPC signals recorded with frequently encountered artifacts (viz., horizontal, vertical and bending motions offinger) reveal that the estimated Sp02 values from MA reduced PPCs using diff erent wavelets are very close to each other. In addition, the Daubechies wavelet interestingly kept the respiratory information intact while effectively removing the MA from PPC signals. Hence, the work establishes that the Daubechies wavelet is the most preferred wavelet for pulse oximetry applications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.