Amplitude-integrated EEG (aEEG) is a popular method for monitoring cerebral function. Although various commercial aEEG recorders have been produced, a detailed aEEG algorithm currently is not available. The upper and ...Amplitude-integrated EEG (aEEG) is a popular method for monitoring cerebral function. Although various commercial aEEG recorders have been produced, a detailed aEEG algorithm currently is not available. The upper and lower margins in the aEEG tracing are the discriminating features for data inspection and tracing classification. However, most aEEG devices require that these margins be measured semi-subjectively. This paper proposes a step-by-step signal-processing method to calculate a compact aEEG tracing and the upper/lower margin using raw EEG data. The high accuracy of the algorithm was verified by comparison with a recognized commercial aEEG device based on a representative testing dataset composed of 72 aEEG data. The introduced digital algorithm achieved compact aEEG tracing with a small data size. Moreover, the algorithm precisely represented the upper and lower margins in the tracing for objective data interpretation. The described method should facilitate aEEG signal processing and further establish the clinical and experimental application of aEEG methods.展开更多
目的探讨昏迷患儿早期振幅整合脑电图(aEEG)与多导联视频脑电图(VEEG)的变化,指导对预后的判断。方法选择2016年8月至2018年2月入住昆明市儿童医院儿童重症监护病房、存在不同程度意识障碍的患儿共80例为研究对象,根据格拉斯哥昏迷评分...目的探讨昏迷患儿早期振幅整合脑电图(aEEG)与多导联视频脑电图(VEEG)的变化,指导对预后的判断。方法选择2016年8月至2018年2月入住昆明市儿童医院儿童重症监护病房、存在不同程度意识障碍的患儿共80例为研究对象,根据格拉斯哥昏迷评分法分为轻、中、重度昏迷。在发病72h内采用Nicolet one monitor脑电监护仪描记aEEG同时记录原始VEEG,将aEEG结果分为正常、轻度异常和重度异常,将VEEG结果分为正常、轻度异常、中度异常、重度异常VEEG波形,运用统计学方法进行统计。结果 aEEG分度与昏迷分度、VEEG分度存在显著的正相关(r=0.881、0.840,P<0.05),昏迷分度与预后存在相关(r=0.280,P<0.05),aEEG分度、VEEG分度与预后存在中强度相关(r=0.529、0.569,P<0.05)。aEEG异常对昏迷患儿不良预后早期评估的灵敏度为72.5%,特异度为70.0%,阳性预测值为70.7%,阴性预测值为71.8%。aEEG重度异常对昏迷患儿不良预后早期评估的灵敏度为57.5%,特异度为95.0%,阳性预测值为92.0%,阴性预测值为69.0%。结论 aEEG与昏迷分度具有良好的相关性,其中重度异常aEEG能够早期预测昏迷患儿的不良预后。展开更多
目的探讨振幅整合脑电图(aEEG)、脐血pH及新生儿Apgar评分对新生儿窒息结局的预测价值。方法回顾性分析2018年6月至2019年6月在东莞市人民医院儿科接受治疗的50例足月低Apgar评分新生儿的临床资料。比较不同aEEG异常分度新生儿的Apgar评...目的探讨振幅整合脑电图(aEEG)、脐血pH及新生儿Apgar评分对新生儿窒息结局的预测价值。方法回顾性分析2018年6月至2019年6月在东莞市人民医院儿科接受治疗的50例足月低Apgar评分新生儿的临床资料。比较不同aEEG异常分度新生儿的Apgar评分,不同Apgar评分新生儿aEEG的异常率和不同aEEG异常程度新生儿的脐动脉血气PH和剩余碱的差异。结果轻度窒息新生儿的aEEG状况明显优于重度窒息新生儿,差异有统计学意义(P<0.05);aEEG正常组新生儿的1 min Apgar评分、5 min Apgar评分和10 min Apgar评分明显高于轻度异常组和重度异常组,且轻度异常组明显高于重度异常组,差异均有统计学意义(P<0.05);1 min Apgar评分新生儿的aEEG异常率明显低于5 min和10 min Apgar评分新生儿的aEEG异常率,且5 min Apgar评分新生儿的aEEG异常率明显低于10 min Apgar评分新生儿的aEEG异常率,差异均有统计学意义(P<0.05);aEEG正常组新生儿的pH值明显高于轻度异常组和重度异常组,且轻度异常组又明显高于重度异常组,差异均有统计学意义(P<0.05);aEEG正常组新生儿的剩余碱浓度明显高于轻度异常组和重度异常组,且轻度异常组又明显高于重度异常组,差异均有统计学意义(P<0.05)。结论aEEG、脐血pH及新生儿Apgar评分对新生儿窒息结局具有较高的预测价值,可作为早期诊断新生儿窒息的依据之一。展开更多
文摘Amplitude-integrated EEG (aEEG) is a popular method for monitoring cerebral function. Although various commercial aEEG recorders have been produced, a detailed aEEG algorithm currently is not available. The upper and lower margins in the aEEG tracing are the discriminating features for data inspection and tracing classification. However, most aEEG devices require that these margins be measured semi-subjectively. This paper proposes a step-by-step signal-processing method to calculate a compact aEEG tracing and the upper/lower margin using raw EEG data. The high accuracy of the algorithm was verified by comparison with a recognized commercial aEEG device based on a representative testing dataset composed of 72 aEEG data. The introduced digital algorithm achieved compact aEEG tracing with a small data size. Moreover, the algorithm precisely represented the upper and lower margins in the tracing for objective data interpretation. The described method should facilitate aEEG signal processing and further establish the clinical and experimental application of aEEG methods.
文摘目的探讨昏迷患儿早期振幅整合脑电图(aEEG)与多导联视频脑电图(VEEG)的变化,指导对预后的判断。方法选择2016年8月至2018年2月入住昆明市儿童医院儿童重症监护病房、存在不同程度意识障碍的患儿共80例为研究对象,根据格拉斯哥昏迷评分法分为轻、中、重度昏迷。在发病72h内采用Nicolet one monitor脑电监护仪描记aEEG同时记录原始VEEG,将aEEG结果分为正常、轻度异常和重度异常,将VEEG结果分为正常、轻度异常、中度异常、重度异常VEEG波形,运用统计学方法进行统计。结果 aEEG分度与昏迷分度、VEEG分度存在显著的正相关(r=0.881、0.840,P<0.05),昏迷分度与预后存在相关(r=0.280,P<0.05),aEEG分度、VEEG分度与预后存在中强度相关(r=0.529、0.569,P<0.05)。aEEG异常对昏迷患儿不良预后早期评估的灵敏度为72.5%,特异度为70.0%,阳性预测值为70.7%,阴性预测值为71.8%。aEEG重度异常对昏迷患儿不良预后早期评估的灵敏度为57.5%,特异度为95.0%,阳性预测值为92.0%,阴性预测值为69.0%。结论 aEEG与昏迷分度具有良好的相关性,其中重度异常aEEG能够早期预测昏迷患儿的不良预后。
文摘目的探讨振幅整合脑电图(aEEG)、脐血pH及新生儿Apgar评分对新生儿窒息结局的预测价值。方法回顾性分析2018年6月至2019年6月在东莞市人民医院儿科接受治疗的50例足月低Apgar评分新生儿的临床资料。比较不同aEEG异常分度新生儿的Apgar评分,不同Apgar评分新生儿aEEG的异常率和不同aEEG异常程度新生儿的脐动脉血气PH和剩余碱的差异。结果轻度窒息新生儿的aEEG状况明显优于重度窒息新生儿,差异有统计学意义(P<0.05);aEEG正常组新生儿的1 min Apgar评分、5 min Apgar评分和10 min Apgar评分明显高于轻度异常组和重度异常组,且轻度异常组明显高于重度异常组,差异均有统计学意义(P<0.05);1 min Apgar评分新生儿的aEEG异常率明显低于5 min和10 min Apgar评分新生儿的aEEG异常率,且5 min Apgar评分新生儿的aEEG异常率明显低于10 min Apgar评分新生儿的aEEG异常率,差异均有统计学意义(P<0.05);aEEG正常组新生儿的pH值明显高于轻度异常组和重度异常组,且轻度异常组又明显高于重度异常组,差异均有统计学意义(P<0.05);aEEG正常组新生儿的剩余碱浓度明显高于轻度异常组和重度异常组,且轻度异常组又明显高于重度异常组,差异均有统计学意义(P<0.05)。结论aEEG、脐血pH及新生儿Apgar评分对新生儿窒息结局具有较高的预测价值,可作为早期诊断新生儿窒息的依据之一。
