ECG, EOG detection from helmet based system

Yun Seong Kim, Haet Bit Lee, Jung Soo Kim, H. Baek, M. S. Ryu, K. Park
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引用次数: 16

Abstract

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.
基于头盔系统的ECG, EOG检测
在军事环境中,与正常工作场所相比,有许多恶劣的工作条件。许多活动可能会使人疲劳,损害士兵的状况,不仅对个人,而且对整个团队和他们的行动都是致命的。同样的原则也适用于战斗人员和矿工的工作。他们工作场所的许多问题都是由于工人的疲劳或无意识行为(如困倦)造成的。所以对他们进行监控和反馈是非常必要的。尽管健康状况监测具有重要意义,但用于健康状况监测的设备却很少。在之前的研究中,我们提出了基于头盔的生物医学信号测量系统。本文将介绍基于头盔系统的心电、眼电信号的检测方法,以及它们在正常和困倦状态下的区别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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