基于脑电图的驾驶员睡眠实时检测预警系统

2016 IEEE 19th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS) Pub Date : 2016-04-20 DOI:10.1109/DDECS.2016.7482475

Michael S. Saleab, Mohamed A. Abd El-Ghany, Ramez M. Toma, K. Hofmann

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引用次数: 5

摘要

为了保证驾驶员和驾驶员的安全，提出并实现了一种基于脑电图的驾驶员睡眠安全实时检测预警系统。该系统用于估计和测量驾驶员的注意力，驾驶员血液中的氧气百分比以及检查驾驶员是否睡眠不足。给出了氧饱和度传感器的设计与实现。此外，该系统还包含一个实时生命体征监测系统，用于测量生命体征值。该系统的准确率为96.3%，灵敏度为100%，可预测性为92.4%，特异性为93%。生命体征监测系统的准确性、可预测性和特异性分别提高了2%、3%和1%。

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Real-time sleep detection and warning system to ensure driver's safety based on EEG

A Real-Time Sleep Detection and Warning System for Driver's Safety Based on EEG is proposed and implemented to ensure the safety for the drivers and pilots. This system is implemented to estimate and measure the driver attention, the percentage of oxygen in the blood of the driver and to check if driver is failing a sleep. The design and implementation of oxygen saturation sensor is also provided. In addition this system contains a Real time vital signs monitoring system to measure the vital signs values. The proposed system achieved an Accuracy of 96.3%, 100% of sensitivity, 92.4% of Predictability and 93% Specificity. The accuracy, predictability and specificity of the vital signs monitoring system is increased by 2%, 3% and 1%, respectively.

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来源期刊

2016 IEEE 19th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)

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