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首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Prediction of outcome in traumatic brain injury patients using long-term qEEG features
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Prediction of outcome in traumatic brain injury patients using long-term qEEG features

机译：使用长期qEEG功能预测脑外伤患者的结局

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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：患有重度颅脑外伤（TBI）的患者的治疗通常包括在重症监护病房长时间住院期间的镇静和机械通气。在这些患者中经常监测连续脑电图以检测癫痫发作。还建议脑电图对于治疗结果具有预后价值。在这项研究中，评估了186种qEEG功能预测TBI患者治疗结果的能力。这些功能基于脑电图的功率谱。该研究的基础数据包含来自北爱沙尼亚医学中心术后重症监护病房的20名患者的长期（超过24小时）记录。通过计算根据特征概率构造的接收器工作曲线下的面积进行评估时，发现12个qEEG特征具有预测价值。

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