A Monitor to Assess Neurological Health in Neonates

描述（由申请人提供）：许多对患有各种 条件支持EEG作为结果的良好预后指标。但 专家新生儿EEG的可用性非常有限，仅在 国内专业儿科中心相对较少。此外，本发明还提供了一种方法， 长期监测EEG，可提供最准确的预后 在新生儿中，现在很少用于临床实践，因为 需要作出相当大的努力来审查长期数据。 此二期项目将继续发展准确可靠的 专用于分析和表征信号的信号处理方法 新生儿背景EEG。目标是开发一个自动分类器 的背景新生儿脑电图，将同意由 临床专家 最终的目标是开发一种低成本，易于使用的监视器， 可以提供新生儿背景EEG的长期连续评估。 这样的监测器可以很好地衡量治疗成功， 治疗后神经功能改善或下降。而且 可能会影响护理决策水平，特别是对于那些新生儿， 错误（例如：严重的神经功能缺损或死亡）。

DESCRIPTION (provided by applicant): Many studies of neonates with a variety of conditions support EEG as a good prognostic indicator of outcome. However, the availability of expert neonatal EEG is very limited, available only at a relatively few specialized pediatric centers in the country. In addition, long-term monitoring of the EEG, which can provide the most accurate prognosis in neonates, is rarely used in clinical practice now because of the considerable effort required reviewing long-term data. This Phase II project will continue the development of accurate and reliable signal processing methods specific for analyzing and characterizing the background EEG in neonates. The objective is to develop an automated classifier of the background neonatal EEG that will agree with assessments made by clinical experts. The eventual goal is the development of a low-cost, easy-to-use monitor that can provide long-term continuous assessments of the neonatal background EEG. Such a monitor could be a good measure of treatment success, indicating neurological improvement or decline after treatment has been given. Also, it could impact level of care decisions, especially for those neonates given poor prognoses (e.g.: severe neurological deficits, or death).