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使用便携式涡流阻尼传感器进行无创性经颅卒中分类。

Noninvasive transcranial classification of stroke using a portable eddy current damping sensor.

机构信息

Department of Medical Engineering, California Institute of Technology, Pasadena, CA, USA.

Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

出版信息

Sci Rep. 2021 May 13;11(1):10297. doi: 10.1038/s41598-021-89735-x.

Abstract

Existing paradigms for stroke diagnosis typically involve computed tomography (CT) imaging to classify ischemic versus hemorrhagic stroke variants, as treatment for these subtypes varies widely. Delays in diagnosis and transport of unstable patients may worsen neurological status. To address these issues, we describe the development of a rapid, portable, and accurate eddy current damping (ECD) stroke sensor. Copper wire was wound to create large (11.4 cm), medium (4.5 cm), and small (1.5 cm) solenoid coils with varying diameters, with each connected to an inductance-to-digital converter. Eight human participants were recruited between December 15, 2019 and March 15, 2020, including two hemorrhagic stroke, two ischemic stroke, one subarachnoid hemorrhage, and three control participants. Observers were blinded to lesion type and location. A head cap with 8 horizontal scanning paths was placed on the patient. The sensor was tangentially rotated across each row on the patient's head circumferentially. Consent, positioning, and scanning with the sensor took roughly 15 min from start to end for each participant and all scanning took place at the patient bedside. The ECD sensor accurately classified and imaged each of the varying stroke types in each patient. The sensor additionally detected ischemic and hemorrhagic lesions located deep inside the brain, and its range is selectively tunable during sensor design and fabrication.

摘要

现有的中风诊断范式通常涉及计算机断层扫描 (CT) 成像,以对缺血性和出血性中风变体进行分类,因为这些亚型的治疗方法差异很大。诊断和不稳定患者的运输延迟可能会使神经状态恶化。为了解决这些问题,我们描述了一种快速、便携且准确的涡流阻尼 (ECD) 中风传感器的开发。铜丝被缠绕以创建具有不同直径的大 (11.4 厘米)、中 (4.5 厘米) 和小 (1.5 厘米) 螺线管线圈,每个线圈都连接到一个电感数字转换器。2019 年 12 月 15 日至 2020 年 3 月 15 日期间招募了 8 名人类参与者,包括 2 名出血性中风、2 名缺血性中风、1 名蛛网膜下腔出血和 3 名对照参与者。观察者对病变类型和位置一无所知。在患者头上放置一个带有 8 个水平扫描路径的头帽。传感器沿患者头部的每个行沿圆周方向切向旋转。每个参与者的从开始到结束大约需要 15 分钟来完成传感器的同意、定位和扫描,并且所有扫描都在患者床边进行。ECD 传感器能够准确地对每个患者的不同中风类型进行分类和成像。该传感器还可以检测位于大脑深处的缺血性和出血性病变,并且在传感器设计和制造过程中可以选择性地调整其范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ac2/8119677/4f5cbf3d10be/41598_2021_89735_Fig1_HTML.jpg

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