Title :
Transforming artifact to signal: A wavelet-based algorithm for quantifying neonatal movement
Author :
Zuzarte, Ian ; Temple, Courtney ; Indic, Premananda ; Paydarfar, David
Author_Institution :
Dept. of Neurology, Univ. of Massachusetts, Worcester, MA, USA
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.
Keywords :
biomechanics; medical signal processing; oximetry; paediatrics; physiology; plethysmography; signal denoising; wavelet transforms; artifact transformation; infant movement; infant physiological development; movement embedded signals; movement-induced artifactual signal; neonatal movement; neonatal physiology; neonatal research; physiological information; physiological signal analysis; pulse plethysmograph; wavelet-based algorithm; Biomedical monitoring; Correlation; Educational institutions; Nervous system; Pediatrics; Standards; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6944863
