Carotid and Jugular Classification in ARTSENS
Carotid and Jugular Classification in ARTSENS
复制标题
ARTSENS 中的颈动脉和颈静脉分类
DOI：
--
复制
发表时间：
2016
影响因子：
7.7
通讯作者：
M. Sivaprakasam
中科院分区：
文献类型：
--
作者：
A. Sahani;M. Shah;J. Joseph;M. Sivaprakasam
在过去的几年里，我们的团队一直致力于开发一种低成本的设备ARTSENS，用于测量颈总动脉(CCA)的局部动脉硬度(AS)。这使用单元件超声换能器从CCA获得A模式帧。它被设计为在其操作中完全自动，以便普通医生可以使用该设备，而不需要事先了解超声模式。在动脉粥样硬化的测量过程中，将探头放置在颈总动脉上方并识别与其两壁相对应的回声位置是关键步骤。我们已经报道了一种基于CCA壁特征运动来定位CCA壁的算法。不幸的是，在仰卧位时，颈内静脉(IJV)在颈动脉三角扩张，以一种扰乱现有算法的方式跳动，导致对AS的错误测量。颈静脉脉搏(JVP)本身是诊断右侧心脏病变的重要生理信号，目前尚缺乏准确的无创性估计方法。我们将心电设备集成到ARTSENS的现有硬件中，并开发了一种基于血管生理的方法，现在可以分离CCA脉搏(CCP)和JVP。误识率低于4%。为了保留ARTSENS在没有心电的情况下进行操作的能力，我们设计了另一种方法，其中分类可以在没有心电的情况下实现，尽管误差稍高一些。这些改进使ARTSENS即使在仰卧位也能自动测量AS，并使其成为执行JVP分析的独特且方便的工具。
Over past few years our group has been working on the development of a low-cost device, ARTSENS, for measurement of local arterial stiffness (AS) of the common carotid artery (CCA). This uses a single element ultrasound transducer to obtain A-mode frames from the CCA. It is designed to be fully automatic in its operation such that, a general medical practitioner can use the device without any prior knowledge of ultrasound modality. Placement of the probe over CCA and identification of echo positions corresponding to its two walls are critical steps in the process of measurement of AS. We had reported an algorithm to locate the CCA walls based on their characteristic motion. Unfortunately, in supine position, the internal jugular vein (IJV) expands in the carotid triangle and pulsates in a manner that confounds the existing algorithm and leads to wrong measurements of the AS. Jugular venous pulse (JVP), on its own right, is a very important physiological signal for diagnosis of morbidities of the right side of the heart and there is a lack of noninvasive methods for its accurate estimation. We integrated an ECG device to the existing hardware of ARTSENS and developed a method based on physiology of the vessels, which now enable us to segregate the CCA pulse (CCP) and the JVP. False identification rate is less than 4%. To retain the capabilities of ARTSENS to operate without ECG, we designed another method where the classification can be achieved without an ECG, albeit errors are a bit higher. These improvements enable ARTSENS to perform automatic measurement of AS even in the supine position and make it a unique and handy tool to perform JVP analysis.
影响因子：
8.3
作者：
Liao, DP;Arnett, DK;Heiss, G
通讯作者：
Heiss, G