Smart catheter flow sensor for continuous regional cerebral blood flow monitoring

Chunyan Li, Pei-Ming Wu, Zhizhen Wu, C. Ahn, J. Hartings, R. Narayan
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引用次数: 8

Abstract

This work reports on development of a novel smart catheter flow sensor (SCF) for continuous monitoring of regional cerebral blood flow (CBF). The SCF employs a periodic heating technique rather than continuous heating and calibrates itself every 5 seconds. This approach ensures zero drift for long-term continuous monitoring and can provide reliable data with MEMS-based thin film sensors. In addition, it uses a 4-wire configuration to eliminate lead wire effect and employs ratiometric measurement to deduce the resistance of SCF. Hence, it is more precise when compared to the bridge-type thermal diffusion flow sensor. The developed SCF has a sensitivity of 2.47mV/ml/min in the range from 0 to 100ml/min with a linear correlation coefficient of R2 = 0.9969. It achieves a resolution of 0.5ml/min and an accuracy better than 3ml/min of full scale with both temperature and medium thermal conductivity compensation.
用于连续区域脑血流监测的智能导管流量传感器
本工作报道了一种新型智能导管流量传感器(SCF)的发展,用于连续监测区域脑血流(CBF)。SCF采用周期性加热技术,而不是连续加热,每5秒校准一次。这种方法保证了零漂移的长期连续监测,并可以为基于mems的薄膜传感器提供可靠的数据。此外,它采用4线结构来消除引线效应,并采用比率测量来推断SCF的电阻。因此,与桥式热扩散流量传感器相比,它的精度更高。建立的SCF在0 ~ 100ml/min范围内的灵敏度为2.47mV/ml/min,线性相关系数R2 = 0.9969。具有温度和介质导热补偿,分辨率为0.5ml/min,精度优于满量程3ml/min。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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