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Non-invasive Intracranial Pressure estimation using Support Vector Machine

机译:支持向量机的无创颅内压估计

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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.
机译:颅内压(ICP)测量对于许多血管性脑部疾病的诊断,监测和治疗非常重要。 ICP的标准测量是在存在颅脑损伤(TBI)的情况下,通过对头皮穿孔来侵入性地进行的。以无创方式测量ICP与许多病理相关,在这些病理中,有创测量会带来很高的风险。本文提出的方法使用动脉血压(ABP)和脑血流速度(CBFV)(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,它在实际ICP信号和估计的信号之间达到了很小的误差,从而可以在线实施ICP估计并具有足够的时间分辨率。

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