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首页> 外文期刊>IEEE sensors journal >Automatic Evaluation of Mannitol Dehydration Treatments on Controlling Intracranial Pressure Using Electrical Impedance Tomography
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Automatic Evaluation of Mannitol Dehydration Treatments on Controlling Intracranial Pressure Using Electrical Impedance Tomography

机译：用电阻抗断层扫描来自动评价甘露醇脱水治疗控制颅内压

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摘要

Intracranial hypertension can potentially cause ischemia, herniation, and even death. Mannitol dehydration treatment is a common method for reducing increased intracranial pressure (ICP). However, the efficacy varies among patients and improper use of mannitol may cause severe side effects. This study aims to find ways to individually evaluate and provide guidance for mannitol dehydration treatments based on dynamic brain electrical impedance tomography (EIT). First, clustering methods were applied to analyze the relationship between EIT data and patients' different responses to mannitol. With the clustering results as well as empirical experiences, doctors could establish a rule for classifying the efficacy of mannitol dehydration treatments. Then, to rapidly categorize following EIT datasets, an automatic classifier was developed using the multiclass support vector machines (SVMs). Additionally, to enhance the accuracy of the classifier, a novel priori and principle components (PPCs) based index was introduced as the input data for training the classifier. The experimental results demonstrated that different clustering methods yielded similar results and the optimal number of clusters was three, which corresponded to three types of efficacy of mannitol. For the automatic classifier, its classification accuracy improved to 93.3% with the PPCs index. As such, it can be concluded that brain EIT promises to be an effective tool for individually evaluating the efficacy of the dehydration treatments and make guidance for rational use of mannitol.
机译：颅内高血压可能导致缺血，疝气甚至死亡。甘露醇脱水处理是减少颅内压（ICP）增加的常用方法。然而，患者的疗效变化，甘露醇的不当使用可能导致严重的副作用。本研究旨在找到基于动态脑电阻抗断层扫描（EIT）的单独评估和为甘露醇脱水治疗提供指导的方法。首先，应用聚类方法来分析EIT数据与患者对甘露醇的不同反应之间的关系。随着聚类结果以及经验经验，医生可以建立分类甘露醇脱水治疗的疗效的规则。然后，要快速分类跟随EIT数据集，可以使用多字符支持向量机（SVM）开发自动分类器。另外，为了增强分类器的准确性，引入了基于先验的先验和基本组件（PPC）的索引作为训练分类器的输入数据。实验结果表明，不同的聚类方法产生类似的结果，簇的最佳数量为三个，其对应于甘露醇的三种疗效。对于自动分类器，其分类准确性随PPCS索引提高到93.3％。因此，可以得出结论，脑EIT承诺是单独评估脱水处理的功效的有效工具，并为合理使用甘露醇进行指导。

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