Yoosoo Jeong, Chanho Song, Seungmin Lee, Jaebum Son
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引用次数: 0
摘要
本文介绍了一种基于光学三角测量技术的非接触式无约束呼吸监测系统。该系统由一个红-绿-蓝(RGB)摄像头和一个线激光器组成,安装在人体前胸的正前方。与其他研究不同的是,这项工作的基本思想是将相机和线激光器安装在相反的方向上。通过对照相机图像应用拟议的图像处理算法,提取激光坐标,并使用光学三角测量法将其转换为世界坐标。这些转换后的世界坐标代表了人的胸廓高度。通过分析胸廓表面深度的变化来测量呼吸频率。为验证系统性能,摄像头和线激光器分别安装在床的头侧和脚侧,朝向床的中心。20 名健康志愿者被选中并接受了 100 秒的测量。评估结果表明,基于光学三角测量的图像处理方法的性能不逊于商业病人监测系统,均方根误差为 0.30rpm,最大误差为 1rpm ( p > 0.05),这意味着所提出的非接触式系统可以替代传统的医疗保健方法。
For a clinical application of optical triangulation to assess respiratory rate using an RGB camera and a line laser.
This paper presents a non-contact and unrestrained respiration monitoring system based on the optical triangulation technique. The proposed system consists of a red-green-blue (RGB) camera and a line laser installed to face the frontal thorax of a human body. The underlying idea of the work is that the camera and line laser are mounted in opposite directions, unlike other research. By applying the proposed image processing algorithm to the camera image, laser coordinates are extracted and converted to world coordinates using the optical triangulation method. These converted world coordinates represent the height of the thorax of a person. The respiratory rate is measured by analyzing changes of the thorax surface depth. To verify system performance, the camera and the line laser are installed on the head and foot sides of a bed, respectively, facing toward the center of the bed. Twenty healthy volunteers were enrolled and underwent measurement for 100s. Evaluation results show that the optical triangulation-based image processing method demonstrates non-inferior performance to a commercial patient monitoring system with a root-mean-squared error of 0.30rpm and a maximum error of 1rpm ( ), which implies the proposed non-contact system can be a useful alternative to the conventional healthcare method.
期刊介绍:
BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.