Psychological fatigue includes mental fatigue and burnout. In order to investigate the impact of psychological fatigue on athletes' response monitoring, event-related potentials technique is typically used, and the most critical indicator is error-related negativity. Two experiments were carried out to explore cause-effect relationships of psychological fatigue and response monitoring. The event-related potentials data processing was based on Artificial Intelligence computing methods, including wavelet transform, grayscale transformation and other algorithms. The first experiment was done to explain mental fatigue and response monitoring. 15 participants operated continuously 60 min Flanker task, and then operated 15 min task accompanied by light music. From the results of behavioral performances, the fatigue period compared with the fatigue-free period showed significant differences, including reaction time (p = 0.029) and correct rate (p = 0.046). From the results of error-related negativity, the amplitude of the fatigue-free period was bigger than that of the music adjustment period, the latter was bigger than that of the fatigue period (p < 0.001). The second experiment was conducted to explore burnout and response monitoring. Twenty-four participants were separated averagely into two groups. One group was burnout group, the other group was no burnout group. They both operated 15 min task. From the results of behavioral performances, no burnout group was better than burnout group. From the results of error-related negativity, no burnout group’s amplitude was bigger than that of burnout group, but the difference was marginally significant. The conclusions are as follows: Artificial intelligence technology is feasible for processing event-related potentials data. Psychological fatigue weakens athletes’ response monitoring ability, and the effect of mental fatigue is significant. In future researches, the following topics should be concerned, including the mediating or moderating effects of third variables, different ways of recovering from mental fatigue, computer data simulator and date accuracy, brain-computer interfaces and error-related negativity, etc.

Under two situations of static empty gun preview and simulated competition, the validity of self-suggestion language “preloading compaction,” which suggests attentional withdrawal, was verified, respectively. Methods. The experiments in the two parts were designed in a single factor group. The participants (Chinese disabled biathletes) fired 20 times (4 groups in total, 5 times in each group) both in pretest and posttest, and they used self-suggestion before each group of firing in posttest. Optoelectronic shooting device based on wireless laser transceiver technology was selected to collect the shooting technical indicators, scores, and other information. The operation evaluation form reflected the subjective feelings of the participants, and the heart rate was measured by the chest band. Results. By the method of big data analysis, under the condition of static empty gun preview, the results showed that there was an extremely significant difference between shooting score and quality of triggering. All the marks on the operation evaluation form improved after the intervention. In the mock competition situation, shooting score has highly significant differences with quality of triggering and relative triggering value and significant difference with aiming ability. The marks of the operation evaluation form have been improved; the heart rate of firing all decreased in different degrees. Conclusions. The attentional withdrawal has positive effects on the shooting scores, technical indicators of optoelectronic shooting device, subjective feelings, and heart rate of disabled biathletes under the two conditions. TIRE (the timing of firing) is the most sensitive indicator and can be used as the focus of future training and scientific research.

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Psychological fatigue, including mental fatigue and burnout, is a phenomenon that psychological function cannot remain the former level of mental activity. Athletes’ response monitoring ability decreases is up for debate under mental fatigue or burnout circumstances. In Event-related potentials studies, the amplitude of error related negativity decreases. Two experiments were carried out to explore cause-effect relationships of psychological fatigue and response monitoring. The experimental data processing was based on Artificial Intelligence computing methods, including wavelet transform, gray scale transformation and other algorithms. The first experiment was done to explain mental fatigue and response monitoring, 15 participants operated continuously 60 minutes Flanker task, and then operated 15 minutes task accompanied by light music. From the results of behavioral performances, the fatigue period compared with the fatigue-free period showed significant differences, including reaction time(p=0.029) and correct rate(p=0.046). From the results of error related negativity, the amplitude of the fatigue-free period was bigger than that of the music intervention period, the latter was bigger than that of the fatigue period (p<0.001). The second experiment was done to explore burnout and response monitoring, 24 participants were separated averagely into two groups. One group was burnout group, the other group was no burnout group. They operated 15 minutes task. From the results of behavioral performances, no burnout group was better than burnout group. From the results of error related negativity, no burnout group’s amplitude was bigger than that of burnout group, but the difference was marginally significant. The conclusions are as follows: Psychological fatigue (mental fatigue and burnout) weakens athletes’ response monitoring ability, and the effect of mental fatigue is significant.

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