基于计算机视觉的临床体外循环非侵入性、非阻塞性、多用途静脉血容量传感器

IF 2.2 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Letters Pub Date : 2025-03-17 DOI:10.1109/LSENS.2025.3551948

Ryan Kaddis;Chan-Jin Chung;Sean Murtha;Hao Jiang

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引用次数: 0

摘要

我们提出了一种基于计算机视觉的静脉血容量自动传感器系统，用于临床体外循环。一个连接到电脑的摄像头，使用定制开发的算法和软件，实时读取静脉储血池内的血量。该系统在血容量测量方面的性能已经得到了表征，实现了平均绝对百分比误差小至2.5%。通过在模拟临床环境中的全面测试，该系统已被证明对血液无侵入性，对操作人员无阻塞，并且适用于不同的储层模型。

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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A Non-intrusive, Non-obstructive, Versatile Venous Reservoir Blood Volume Sensor Based on Computer Vision for Clinical Cardiopulmonary Bypass

We present an automatic venous reservoir blood volume sensor system, based on computer vision, for clinical cardiopulmonary bypass. A camera connected to a computer reads the blood volume inside the venous reservoir in real time, using custom-developed algorithms and software. The system's performance in blood volume measurement has been characterized, achieving a mean absolute percentage error as small as 2.5%. Through comprehensive testing in a simulated clinical environment, the system has proven to be nonintrusive to blood, nonobstructive for operators, and versatile for different reservoir models.

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来源期刊

IEEE Sensors Letters Engineering-Electrical and Electronic Engineering

CiteScore

3.50

自引率

7.10%

发文量

194