Design and Application of Mental Fatigue Detection System Using Non-Contact ECG and BCG Measurement

摘要

Real-time mental fatigue monitoring system is very important in reducing safety accidents caused by fatigue driving. Adding complex monitoring devices and auxiliary equipment will put pressure on and even distract the user, so the unobtrusive monitoring system is currently the research hotspot. In this system, an unobtrusive mental fatigue assessment system was designed. ECG and Ballistocardiogram (BCG) can be captured by methods based on adaptive filter with such a design. After collecting step was finished, heart rate variability (HRV) and heart rate (HR) can be used for mental fatigue analysis according to data of 1-hour duration among 5 groups. The system can accurately and stably evaluate the mental fatigue state of the person without disturbance, which has certain application significance for mental fatigue and health monitoring in various scenarios such as cabs, factories, hospitals.