IEEE Trans Neural Syst Rehabil Eng. 2019 Sep;27(9):1931-1938. doi: 10.1109/TNSRE.2019.2932273. Epub 2019 Jul 31.
Intracranial pressure (ICP) monitoring is desirable as a first-line measure to assist decision-making in cases of increased ICP. Clinically, non-invasive ICP monitoring is also required to avoid infection and hemorrhage in patients. The relationships among the arterial blood pressure (ABP), ICP, cerebral blood flow, and its velocity ( [Formula: see text]) measured by transcranial Doppler ultrasound measurement have been reported. However, real-time non-invasive ICP estimation using these modalities is less well documented. This paper presents a novel algorithm for real-time and non-invasive ICP monitoring with [Formula: see text] and ABP, called direct-current (DC)-ICP. The technique was compared with invasive ICP for 10 acute-brain-injury patients admitted to Cheju Halla Hospital and Gangnam Severance Hospital from July 2017 to June 2018. The inter-subject correlation coefficient between true and estimate was 0.75 and the AUCs of the ROCs for prediction of increased ICP for the DC-ICP methods were 0.83. Thus, [Formula: see text] monitoring can facilitate reliable real-time ICP tracking with our novel DC-ICP algorithm, which can provide valuable information under clinical conditions.
颅内压 (ICP) 监测是一种理想的一线措施，可协助监测 ICP 升高的病例并辅助决策。临床上，为避免感染和出血，也需要对患者进行非侵入性 ICP 监测。已有研究报道了经颅多普勒超声测量的动脉血压 (ABP)、ICP、脑血流及其速度 ([Formula: see text]) 之间的关系。然而，这些方式实时、非侵入性的 ICP 估计的应用仍较少。本文提出了一种基于 [Formula: see text] 和 ABP 的实时、非侵入性 ICP 监测的新算法，称为直流 (DC)-ICP。该技术与 2017 年 7 月至 2018 年 6 月期间从济州哈雷医院和江南塞弗伦斯医院收治的 10 例急性脑损伤患者的有创 ICP 进行了比较。真实值与估计值之间的受试者间相关系数为 0.75，预测 DC-ICP 方法 ICP 升高的 ROC 的 AUC 为 0.83。因此，[Formula: see text]监测可以通过我们的新型 DC-ICP 算法来实现可靠的实时 ICP 跟踪，该算法可以在临床条件下提供有价值的信息。
