Temko Andriy, Marnane William, Boylan Geraldine, Lightbody Gordon
Neonatal Brain Research Group, INFANT Research Centre, Dept. Electrical and Electronic Engineering, University College Cork, Cork, Ireland.
Neonatal Brain Research Group, INFANT Research Centre, Dept. Pediatrics and Child Health, University College Cork, Cork, Ireland.
Decis Support Syst. 2015 Feb;70:86-96. doi: 10.1016/j.dss.2014.12.006.
Technologies for automated detection of neonatal seizures are gradually moving towards cot-side implementation. The aim of this paper is to present different ways to visualize the output of a neonatal seizure detection system and analyse their influence on performance in a clinical environment. Three different ways to visualize the detector output are considered: a binary output, a probabilistic trace, and a spatio-temporal colormap of seizure observability. As an alternative to visual aids, audified neonatal EEG is also considered. Additionally, a survey on the usefulness and accuracy of the presented methods has been performed among clinical personnel. The main advantages and disadvantages of the presented methods are discussed. The connection between information visualization and different methods to compute conventional metrics is established. The results of the visualization methods along with the system validation results indicate that the developed neonatal seizure detector with its current level of performance would unambiguously be of benefit to clinicians as a decision support system. The results of the survey suggest that a suitable way to visualize the output of neonatal seizure detection systems in a clinical environment is a combination of a binary output and a probabilistic trace. The main healthcare benefits of the tool are outlined. The decision support system with the chosen visualization interface is currently undergoing pre-market European multi-centre clinical investigation to support its regulatory approval and clinical adoption.
新生儿惊厥自动检测技术正逐渐朝着床边应用发展。本文旨在介绍新生儿惊厥检测系统输出结果的不同可视化方式，并分析它们在临床环境中对性能的影响。考虑了三种不同的检测器输出可视化方式：二进制输出、概率轨迹以及惊厥可观测性的时空色图。作为视觉辅助手段的替代方案，还考虑了经听觉处理的新生儿脑电图。此外，还对临床人员进行了关于所提出方法的有用性和准确性的调查。讨论了所提出方法的主要优缺点。建立了信息可视化与计算传统指标的不同方法之间的联系。可视化方法的结果以及系统验证结果表明，所开发的新生儿惊厥检测器及其当前性能水平无疑将作为决策支持系统对临床医生有益。调查结果表明，在临床环境中可视化新生儿惊厥检测系统输出的合适方法是二进制输出和概率轨迹的组合。概述了该工具的主要医疗保健益处。具有所选可视化界面的决策支持系统目前正在进行欧洲多中心上市前临床研究，以支持其监管批准和临床应用。
