Detektering av in- och utandning vil bilkörning med hjälp av Matlab

Sammanfattning: Volvo Human Monitoring (VHM) is an ongoing project at Volvo Cars where they measure, amongst other parameters, inhalation and exhalation through a device called Respiratory Inductance Plethysmograph (RIP), on drivers. RIP measures changes in the cross-sectional area of the chest and abdomen. When the driver is in motion, such as when she is turning the vehicle, the cross-sectional area changes and noise in the RIP signal may arise.The noise results in a large number of manual adjustments in the analysis of the RIP signal, which is very time consuming and the validity of the device for measuring inhalation and exhalation is questioned.The purpose of this study was to improve the efficiency of the analysis of the RIP signal. The goal was to create a new data processing tool in Matlab that automatically detects inhalation and exhalation from a RIP signal with higher validity compared to the previous data processing tool.In this study, nine tests were performed on drivers while they were driving in different scenarios such as highway, country road and in city traffic. Inhalation and exhalation was measured using a RIP, a pneumotachograph with a tightly sealed facemask and a thermocouple placed between the nose and mouth, which was used as reference to the RIP.The result of this study was a data processing tool that automatically detects inhalation and exhalation with higher validity compared to the previous data processing tool. The tool marks the sequences where the risk is high that the RIP measures inhalation and exhalation in a faulty way or removes inhalations and exhalations during these sequences, depending on the user’s preference.This study has also contributed new knowledge about an alternative device, thermocouple, for detecting inhalation and exhalation with higher validity than with the RIP while driving.