title: Transforming artifact to signal: A wavelet-based algorithm for quantifying neonatal movement.
abstract: In neonatal research, physiological signals are often degraded by an artifact generated by movement of the infant. Portions of these movement embedded signals are commonly excluded in the analysis of the relevant physiological signal. However, movement may be a significant marker of physiological development of the infant. Here we present results from a wavelet-based algorithm that quantifies neonatal movement, using recordings from the pulse plethysmograph. We suggest that movement-induced artifactual signal can yield important physiological information regarding neonatal physiology.
authors.forename: Ian
authors.initials: I
authors.lastname: Zuzarte
authors.forename: Courtney
authors.initials: C
authors.lastname: Temple
authors.forename: Premananda
authors.initials: P
authors.lastname: Indic
authors.forename: David
authors.initials: D
authors.lastname: Paydarfar
mesh_terms: D000465:Algorithms; D016477:Artifacts; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D007231:Infant, Newborn; D007363:Intensive Care Units, Neonatal; D015931:Intensive Care, Neonatal; D009068:Movement; D010092:Oximetry; D010991:Plethysmography; D011446:Prospective Studies; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis