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Fatigue detection method and system integrating electroencephalogram, electro-oculogram and heart rate

A fatigue detection and EEG technology, applied in the field of fatigue detection, can solve the problems such as the inability to continuously monitor the fatigue detection method and the low accuracy, and achieve the effect of accurate fatigue detection results, convenient collection and improved accuracy.

Pending Publication Date: 2022-03-29
SHANDONG INST OF ADVANCED TECH CHINESE ACAD OF SCI CO LTD
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Problems solved by technology

[0004] The purpose of the present invention is to provide a fatigue detection method and system that integrates EEG, EEG, and heart rate, so as to realize continuous monitoring of fatigue driving, improve the accuracy of fatigue detection, and solve the problem that existing fatigue detection methods cannot continuously monitor, low accuracy problem

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  • Fatigue detection method and system integrating electroencephalogram, electro-oculogram and heart rate
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  • Fatigue detection method and system integrating electroencephalogram, electro-oculogram and heart rate

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Embodiment 1

[0060] Such as figure 1 with figure 2 As shown, this embodiment proposes a fatigue detection method that integrates EEG, EEG, and heart rate, and the method specifically includes the following steps:

[0061] Step S1 , collecting forehead single-channel EEG signal EEGraw and forehead photoplethysmography PPG signal. Specifically include:

[0062] The forehead single-channel EEG signal EEGraw collector and the forehead photoplethysmography PPG signal collector are integrated into the same headband, and the single-channel EEG signal EEGraw and photoplethysmography PPG of the forehead of the user to be detected are simultaneously and synchronously collected signal, so that the signal collection process is more convenient and fast, and the way of collecting multiple signals through the integrated headband does not need to collect multiple times for the same object to be detected, which can realize continuous monitoring of fatigue driving and solve the existing problems Fatigue...

Embodiment 2

[0101] Such as Figure 4 As shown, this embodiment proposes a fatigue detection system that integrates EEG, EEG, and heart rate. The functions of each module of the system are the same as the steps of the method in Embodiment 1 and correspond one-to-one. The system specifically includes:

[0102] The EEG signal EEGraw and pulse wave PPG signal acquisition module M1 is used to collect the forehead single-channel EEG signal EEGraw and the forehead photoplethysmography PPG signal;

[0103] The EEG signal EEGraw and the pulse wave PPG signal preprocessing module M2 are used to preprocess the forehead single-channel EEG signal EEGraw and the forehead photoplethysmography PPG signal respectively to obtain the EEG signal EEG_ clean and pulse signal PPG_ clean ;

[0104] Frontal electroencephalogram signal EEG and forehead electrooculogram signal EOG acquisition module M3, for obtaining from the electroencephalogram signal EEG_ clean Separate the frontal electroencephalogram signal...

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Abstract

The invention relates to a fatigue detection method and system fusing electroencephalogram, electro-oculogram and heart rate, and belongs to the field of fatigue detection.The method comprises the steps that firstly, a forehead single-channel electroencephalogram signal and a forehead photoelectric volume pulse wave signal are collected, the pulse rate PR is extracted from the forehead photoelectric volume pulse wave signal, then a forehead electro-oculogram signal is separated from the forehead single-channel electroencephalogram signal, and the pulse rate PR is extracted from the forehead electro-oculogram signal; and finally, inputting the calculated energy ratio representing the electroencephalogram information, the calculated blinking frequency information representing the electro-oculogram signal and the calculated energy ratio representing the heart rate signal into a fatigue detection regression model to output a fatigue degree value, so that combined detection of the electroencephalogram signal, the electro-oculogram signal and the heart rate signal is realized. The fatigue detection accuracy can be effectively improved through multi-dimensional evaluation of the fatigue degree; meanwhile, the three kinds of physiological information can be obtained synchronously at the same time, collection is convenient and fast, continuous monitoring of fatigue driving can be achieved, and the problems that an existing fatigue detection method cannot conduct continuous monitoring and is low in accuracy are solved.

Description

technical field [0001] The invention relates to the field of fatigue detection, in particular to a fatigue detection method and system integrating EEG, electrooculogram and heart rate. Background technique [0002] Fatigue detection is of great significance in various fields such as driving, working at heights, flying, and mine operations. Existing fatigue detection methods mainly include subjective evaluation method and objective evaluation method. The subjective evaluation method is mainly carried out through questionnaire survey method. This method is easily affected by individual subjective consciousness, and the evaluation standards are not uniform, resulting in low fatigue detection accuracy. . The objective evaluation method uses electronic information auxiliary equipment to collect characteristic information reflecting human fatigue, and establishes a fatigue detection model to realize fatigue detection, mainly including methods based on facial vision, methods based...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/369A61B5/398A61B5/024
CPCA61B5/369A61B5/398A61B5/02416
Inventor 彭福来陈财苏明鑫王星维张昔坤李光林王琳张浩诗
Owner SHANDONG INST OF ADVANCED TECH CHINESE ACAD OF SCI CO LTD
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