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Prediction of outcome in traumatic brain injury patients using long-term qEEG features

机译:使用长期QEEG特征预测创伤性脑损伤患者的结果

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Treatment of patients suffering from severe traumatic brain injury (TBI) commonly involves sedation and mechanical ventilation during prolonged stay in the intensive care unit. Continuous EEG is often monitored in these patients to detect epileptic seizures. It has also been suggested that EEG has prognostic value regarding the outcome of the treatment. In this study the ability of 186 qEEG features to predict the outcome of the treatment of TBI patients is assessed. The features are based on the power spectrum of the EEG. The data underlying the study contains long term (over 24 h) recordings from 20 patients treated in the postoperative intensive care unit of the North Estonian Medical Center. 12 qEEG features were found to have predictive value when evaluated by calculating the area under the receiver operating curve constructed from feature probabilities.
机译:患有严重创伤性脑损伤(TBI)的患者的治疗通常涉及在重症监护单元中长时间留下的镇静和机械通气。在这些患者中经常监测连续脑电图以检测癫痫发作。还提出了EEG对治疗结果具有预后价值。在这项研究中,评估了186项QEEG特征预测TBI患者治疗结果的能力。特征基于EEG的功率谱。该研究的数据含有来自北爱沙尼亚医疗中心术后重症监护部门治疗的20名患者的长期(超过24小时)录音。通过计算由特征概率构建的接收器操作曲线下的区域计算时,发现12 QEEG特征具有预测值。

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