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Classification of morphological features extracted from intracranial pressure recordings in the diagnosis of Normal Pressure Hydrocephalus (NPH)

机译:从颅内压记录中提取的形态学特征分类用于诊断常压性脑积水(NPH)

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The intracranial pressure (ICP) monitoring is a common procedure in neuro-intensive care for pathologies such traumatic brain injuries or hemorrhages, but also for chronic ones as the Normal Pressure Hydrocephalus (NPH). The only available treatment for NPH is the surgical implantation of a shunt with the aim of routing cerebrospinal fluid (CSF) away from the brain to another part of the body. In this study, using the classification software WEKA, an intensive investigation of ICP signals has been conducted. In particular we studied 14 ICP recordings of different patients who underwent an infusion test, with the aim of investigating the presence of NPH through the ICP recording. More precisely, 20 morphological features are extracted from the ICP pulsed wave, the trend have been computed and, for each one, 9 statistical functions determined. The 180 features have been selected and passed for the classification. The results obtained shows how, among the 14 patients, a number of 12 out of 14 (85.7%) have been correctly classified, looking at just 3 features. In particular 8 out of 9 not-NPH-affected patients were correctly identified (88.89%) while 4 out of 5 NPH-affected patients were correctly identified (80%).
机译:颅内压(ICP)监控是神经重症监护中常见的程序,可用于治疗诸如颅脑外伤或出血等病理情况,也可用于常压性脑积水(NPH)等慢性病。 NPH唯一可用的治疗方法是手术植入分流器,目的是将脑脊液(CSF)从大脑转移到身体的另一部分。在这项研究中,使用分类软件WEKA对ICP信号进行了深入研究。特别是,我们研究了接受输液测试的不同患者的14 ICP记录,目的是通过ICP记录调查NPH的存在。更准确地说,从ICP脉冲波中提取了20种形态特征,已计算出趋势,并为每一种确定了9种统计函数。已选择180个要素并将其传递给分类。获得的结果表明,在14例患者中,如何仅对3个特征进行了正确分类,其中14例中有12例(85.7%)被正确分类了。特别是,正确识别出9名未受NPH影响的患者中的8名(88.89%),而正确识别出5名受NPH影响的患者中的4名(80%)。

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