A Monitor to Assess Neurological Health in Neonates

描述(由申请人提供)：许多对患有各种疾病的新生儿的研究 条件支持EEG作为一个良好的预后指标。然而， 专家新生儿脑电图的可获得性非常有限，仅在 全国的儿科专科中心相对较少。此外, 长期监测脑电，可以提供最准确的预后 在新生儿中，现在很少在临床上使用，因为 审查长期数据需要付出相当大的努力。 这一二期工程将继续发展准确可靠的 特定的信号处理方法，用于分析和表征 研究背景新生儿的脑电检查。目标是开发一种自动分类器 本底新生儿脑电与以下评估相符 临床专家。 最终目标是开发一种低成本、易用的监视器， 可提供对新生儿本底脑电的长期连续评估。 这样的监测可能是治疗成功的一个很好的衡量标准， 治疗后神经功能改善或下降。另外，它 可能会影响护理水平的决定，特别是对于那些出生条件较差的新生儿 预后(例如：严重的神经缺陷或死亡)。

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).