Temko Andriy, Marnane William, Boylan Geraldine, O'Toole John M, Lightbody Gordon
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:4451-4. doi: 10.1109/EMBC.2014.6944612.
Technologies for automated detection of neonatal seizures are gradually moving towards cot-side implementation. The aim of this paper is to present an alternative way to visualize the output of a neonatal seizure detection algorithm. For this purpose audified neonatal EEG is considered. The EEG is audified with the aid of the neonatal seizure detection algorithm which selects the representative channels for stereo audio image and controls the signal gain. A survey on the usefulness and accuracy of the presented audification method has been performed. The results of the audification method compare favourably to that of using amplitude integrated EEG for detection of neonatal seizures.
新生儿惊厥自动检测技术正逐渐朝着床边应用发展。本文旨在提出一种可视化新生儿惊厥检测算法输出的替代方法。为此，考虑对新生儿脑电图进行听觉化处理。借助新生儿惊厥检测算法对脑电图进行听觉化处理，该算法选择用于立体声音频图像的代表性通道并控制信号增益。已对所提出的听觉化方法的实用性和准确性进行了一项调查。该听觉化方法的结果与使用振幅整合脑电图检测新生儿惊厥的结果相比具有优势。
