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使用支持向量机进行无创颅内压估计。

Non-invasive intracranial pressure estimation using support vector machine.

作者信息

Chacón Max, Pardo Carlos, Puppo Corina, Curilem Millaray, Landerretche Jean

机构信息

Informatics Engineering Department of Universidad de Santiago de Chile (USACH), Av. Ecuador 3659, Est. Central, Chile. max.chacon@@usach.cl

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:996-9. doi: 10.1109/IEMBS.2010.5627816.

Abstract

Intracranial Pressure (ICP) measurements are of great importance for the diagnosis, monitoring and treatment of many vascular brain disturbances. The standard measurement of the ICP is performed invasively by the perforation of the cranial scalp in the presence of traumatic brain injury (TBI). Measuring the ICP in a noninvasive way is relevant for a great number of pathologies where the invasive measurement represents a high risk. The method proposed in this paper uses the Arterial Blood Pressure (ABP) and the Cerebral Blood Flow Velocity (CBFV) - which may be obtained by means of non-invasive methods - to estimate the ICP. A non-linear Support Vector Machine was used and reached a low error between the real ICP signal and the estimated one, allowing an on-line implementation of the ICP estimation, with an adequate temporal resolution.

摘要

颅内压(ICP)测量对于许多脑血管疾病的诊断、监测和治疗至关重要。在创伤性脑损伤(TBI)情况下,通过颅骨头皮穿孔以侵入性方式进行ICP的标准测量。对于大量存在侵入性测量具有高风险的病症,以非侵入性方式测量ICP具有重要意义。本文提出的方法利用动脉血压(ABP)和脑血流速度(CBFV)——这可以通过非侵入性方法获得——来估计ICP。使用了非线性支持向量机,在真实ICP信号和估计信号之间达到了低误差,从而能够以足够的时间分辨率在线实现ICP估计。

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