Multi-Vital Signs System with Sensor Fusion

This paper proposes a scheme with sensor fusion that enhances a traditional multi-vital signs system’s performance by predicting the user’s physiological state. Detecting the user’s carbon dioxide, temperature, and humidity produced by breathing can effectively estimate whether the user has enough resting-state time before conducting measurements. Additionally, when users are not using the system, it can monitor ambient parameters, such as carbon dioxide, temperature, and humidity. More importantly, it can collect the user’s physiological state to achieve the higher performance of an intelligent multi-vital signs system.