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.

中文翻译：

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多摄像机红外热像仪，用于婴儿呼吸监测

在新生儿病房中，使用胸阻抗（CI）监视呼吸，该阻抗显眼，可能对婴儿造成皮肤伤害。因此，正在研究基于红外热成像的不显眼的解决方案。这项工作提出了一种算法，可以合并多个热像仪视图并使用三个功能自动检测包含呼吸运动或流量的像素。在七个婴儿的152分钟记录中测试了该方法。我们与CI呼吸速率进行了比较，得出的平均绝对误差等于2.07次呼吸/分钟。合并这三个功能可以减少对基于频谱的功能典型的窗口大小的依赖。