ECG, EOG detection from helmet based system

In the military environment there are many harsh working conditions compare to the normal working place. Many activity can be tiring and compromise a soldier's condition and prove fatal, not only to the individual, but to the team and their operation as well. The same principles apply to the work of Are fighters and miners. Many problems in their work places are caused by worker's mistake due to their fatigue or unconsciousness behavior like a drowsiness. So to monitor and feedback to them is very essential. Despite the importance of the monitoring the health condition, device for this purpose was seldom developed yet. In the former study we proposed helmet based system for measuring biomedical signals. In this paper detecting method for ECG, EOG will be presented using helmet based system and their differences between normal and drowsiness status.

[1]  Emil Jovanov,et al.  Stress monitoring using a distributed wireless intelligent sensor system. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[2]  Y. Mendelson,et al.  Measurement reproducibility and sensor placement considerations in designing a wearable pulse oximeter for military applications , 2004, IEEE 30th Annual Northeast Bioengineering Conference, 2004. Proceedings of the.

[3]  Glenn F. Wilson,et al.  A new EOG-based eyeblink detection algorithm , 1998 .