Abend Nicholas S, Dlugos Dennis, Herman Susan
Division of Neurology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.
Epilepsia. 2008 Feb;49(2):349-52. doi: 10.1111/j.1528-1167.2007.01425.x. Epub 2007 Nov 19.
We aimed to determine whether analysis of EEG envelope trend aids bedside detection of neonatal seizures. Five neonatal EEGs with multiple seizures were used to determine optimal trend parameters for seizure detection. Using these parameters, envelope trends were generated on eight additional EEGs, evaluated by experienced and inexperienced users, and compared to traditional EEG interpretation. Seizures were best detected using envelope trend of 2-6 Hz activity over 20-s epochs. Experienced and inexperienced users identified 88% and 55% of prolonged seizures, respectively, 40% and 6% of brief seizures, and 20% and 0% of slowly evolving seizures. All users identified less than two false positives per hour. Thus, an experienced envelope trend user accurately identified longer seizures but did not identify brief or slowly evolving seizures. Less experienced users were less accurate. Trending may be a useful tool for seizure detection in some neonates.
我们旨在确定脑电图包络趋势分析是否有助于新生儿惊厥的床边检测。使用五份伴有多次惊厥的新生儿脑电图来确定惊厥检测的最佳趋势参数。利用这些参数,在另外八份脑电图上生成包络趋势,由经验丰富和缺乏经验的使用者进行评估,并与传统脑电图解读进行比较。使用20秒时间段内2 - 6赫兹活动的包络趋势能最好地检测出惊厥。经验丰富和缺乏经验的使用者分别识别出88%和55%的长时间惊厥、40%和6%的短暂惊厥以及20%和0%的缓慢演变惊厥。所有使用者每小时识别出的假阳性均少于两个。因此,经验丰富的包络趋势使用者能准确识别较长时间的惊厥,但无法识别短暂或缓慢演变的惊厥。经验较少的使用者准确性较低。趋势分析可能是某些新生儿惊厥检测的有用工具。