Fatigue brain electrical characteristic research method based on different experiment difficulties

Abstract

The invention discloses a fatigue brain electrical characteristic research method based on different experiment difficulties. Mental fatigue is a gradual and cumulative phenomenon, and generally shows weakening of physiological activities of the human body. Fatigue brain electricity under different states is induced by setting two groups of Stroop experiments with different difficulties, and characteristic analysis is carried out on brain electrical signals in a waking state and in a fatigue state in the two groups of experiments by using wavelet packet decomposition and a sample entropy algorithm. Experimental results show that the relative energy of alpha waves and theta waves is increased from the waking state to the fatigue state, the relative energy of beta waves is obviously reduced (P<0.05), the ratio (P<0.05) of parameters alpha / beta and (alpha+theta) / beta is gradually increased along with deepening of fatigue, and sample entropy values of encephalic regions are in decreasing tendency; compared with the experiment group with high difficulty, parameter changes in low-difficulty tasks are more obvious, and therefore the parameters alpha / beta and (alpha+theta) / beta can serve as potential indicators for measuring mental fatigue and meanwhile can verify that proper increase of experiment difficulty can prevent generation of metal fatigue to a certain extent.

Description

Technical field [0001] The invention designs a method for studying the characteristics of fatigue EEG based on different experimental difficulties. Specifically, it refers to the design of two groups of psychological experiments of different difficulties to induce fatigue EEG in the human body, and analyze the change trend of fatigue EEG under different experimental difficulties. This invention belongs to the combination of cognitive neuroscience and information technology, and belongs to digital signal processing. Technical field. Background technique [0002] Physiological and mental fatigue has now become an important problem in cities, seriously threatening people's physical health and safety of life and property. In traffic driving, aerospace activities, human-machine system monitoring and other tasks, the momentary distraction, slow response or insufficient coordination caused by the mental fatigue of the controller may lead to extremely serious accidents. Therefore, the ...

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Problems solved by technology

However, the disadvantage of these methods is that they are only suitable for analyzing stationary signals, and have great limitations for analyzing non-stationary signals such as EEG signals.

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