Transforming artifact to signal: A wavelet-based algorithm for quantifying neonatal movement.
EMBC（2014）
摘要
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.
更多查看译文
关键词
oximetry,biomechanics,signal denoising,pulse plethysmograph,neonatal movement,paediatrics,physiology,artifact transformation,wavelet transforms,neonatal research,neonatal physiology,plethysmography,medical signal processing,movement-induced artifactual signal,physiological signal analysis,infant physiological development,movement embedded signals,infant movement,physiological information,wavelet-based algorithm
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要