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.