Lorato Ilde, Stuijk Sander, Meftah Mohammed, Kommers Deedee, Andriessen Peter, van Pul Carola, de Haan Gerard
Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Department of Family Care Solutions, Philips Research, Eindhoven, The Netherlands.
Biomed Opt Express. 2020 Aug 3;11(9):4848-4861. doi: 10.1364/BOE.397188. eCollection 2020 Sep 1.
Respiration is monitored in neonatal wards using chest impedance (CI), which is obtrusive and can cause skin damage to the infants. Therefore, unobtrusive solutions based on infrared thermography are being investigated. This work proposes an algorithm to merge multiple thermal camera views and automatically detect the pixels containing respiration motion or flow using three features. The method was tested on 152 minutes of recordings acquired on seven infants. We performed a comparison with the CI respiration rate yielding a mean absolute error equal to 2.07 breaths/min. Merging the three features resulted in reducing the dependency on the window size typical of spectrum-based features.
在新生儿病房中，使用胸部阻抗（CI）来监测呼吸，这种方法具有侵入性，可能会对婴儿皮肤造成损伤。因此，基于红外热成像的非侵入性解决方案正在被研究。这项工作提出了一种算法，用于合并多个热成像相机视图，并使用三个特征自动检测包含呼吸运动或气流的像素。该方法在7名婴儿的152分钟记录上进行了测试。我们与CI呼吸率进行了比较，平均绝对误差为2.07次/分钟。合并这三个特征减少了对基于频谱特征典型窗口大小的依赖。
