Matthew Setiawan, Muhammad Adil Malik, K. Fobelets
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引用次数: 0
摘要
:我们介绍了一种从集成在针织服装中的传感器获得的数据中检测呼出气体成分的方法。我们使用缝在智能面罩中的传感器和服装中的传感器(包括两个针织呼吸感应式胸透线圈和一个加速度计)同时记录了温度、相对湿度、一氧化碳和挥发性有机化合物的数据。我们发现,从智能面罩传感器获得的信号与胸部和腹部运动的信号之间存在线性相关。我们使用平均集中数据的线性回归模型来训练一个线性模型,以便仅通过针织服装中的传感器读数来预测呼出气体中的 CO 2 和 VOC 数据。
Correlation between Smart Mask and Knitted Coil Sensors Breathing Data
: We present an approach for inspecting the composition of exhaled breath from data obtained from sensors integrated in a knitted garment. Simultaneous recordings were made for temperature, relative humidity, CO 2 and VOC, using sensors sewn in a smart mask and sensors in the garment that include two knitted respiratory inductive plethysmography coils and one accelerometer. We established that the correlation between signals obtained from the smart mask sensors and those from chest and abdomen movement is linear. A linear regression model on mean centralized data was used to train a linear model to predict CO 2 and VOC data in exhaled breath from sensor readings in the knitted garment only.