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Drowsiness control center by photoplythesmogram

机译:光电容积图控制嗜睡

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Daytime drowsiness and fatigue lead to decreased driving reliability, lower working efficiency and fatal accidents. According to recent research, heart rate variability (HRV) can be robustly calculated from the photoplethysmogram (PPG) to indicate parasympathetic nervous activity and classify drowsiness level. In this paper, a low power wireless PPG sensor has been designed. N-back M-pitch, a working memory cognitive test has been used to correlate HRV, extracted from the new sensor, with mental fatigue, indicated by lower accuracy in the test. Signal processing algorithms have been designed, which are being implemented into real time software running on Intel Tunnel Creek Atom board, to function as the drowsiness control center.
机译:白天的嗜睡和疲劳导致驾驶可靠性下降,工作效率降低和致命事故。根据最近的研究,可以从光电容积描记图(PPG)可靠地计算出心率变异性(HRV),以表明副交感神经活动和嗜睡程度。本文设计了一种低功耗无线PPG传感器。 N-back M-pitch是一种工作记忆认知测试,已用于将从新传感器中提取的HRV与心理疲劳相关联,该测试的准确性较低。设计了信号处理算法,并将其实施到运行在Intel Tunnel Creek Atom板上的实时软件中,以用作睡意控制中心。

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