Correlation between Smart Mask and Knitted Coil Sensors Breathing Data

Abstract

: 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.