将伪迹转化为信号：一种基于小波的新生儿运动量化算法。
Transforming artifact to signal: A wavelet-based algorithm for quantifying neonatal movement.
作者信息
Zuzarte Ian, Temple Courtney, Indic Premananda, Paydarfar David
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:5466-9. doi: 10.1109/EMBC.2014.6944863.
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.
在新生儿研究中，生理信号常常会因婴儿活动产生的伪迹而退化。在对相关生理信号的分析中，这些包含运动的信号部分通常会被排除。然而，运动可能是婴儿生理发育的一个重要标志。在此，我们展示了一种基于小波的算法的结果，该算法利用脉搏容积描记器的记录来量化新生儿的运动。我们认为，由运动引起的伪迹信号能够产生有关新生儿生理学的重要生理信息。
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