Assessments Of Flight Task-load Model And Sleep Deprivation Model Due To Physiological And Psychological Methods

It's known that flight fatigue is one of the most important reasons, which cause aircraft accidents. So it's more important to assess the physiological and psychological function state of pilots to stop their missions when they are suffering flight fatigue. Our aim is to construct an effective and accurate system to assess the physiological and psychological function states of pilots, and it can realize fatigue state and alarm early. Recently, the changes of cerebral oxygenation saturation and static upright balance function under fatigue state have raised a lot of attention. We hope that we will construct new types of methods to assess flight fatigue due to our early researches and the new technologies. In this stage our researches are based on task-load mode and sleep deprivation model, we have done these researches:Part one: The choice of simulated flight taskObjective: There's no unified standard to construct task-load model, we want to select the task program which is the most close to real flight task due to experiments.Methods: 30 pilots were asked to assess the real flight tasks and different simulated tasks by NASA-TLX. We analyze the different dimensionalities of the scale.Results: Using Pearson correlation analysis, we found that human-machine functions distribution tasks have a good correlation with the real flight tasks, especially in some mental dimensions. And the grades of the tasks are in Gaussian distribution.Conclusions: According to the Pearson analysis, human-machine functions distribution tasks can best simulate the real flight tasks. And the grades of the tasks are in Gaussian distribution. So we choose human-machine functions distribution tasks to construct task-load model.Part two: Assessments of task-load model due to physiological and psychological methods.Objective: Construct task-load model, and explore the changes of cerebral oxygenation saturation and static upright balance function under fatigue state due to task-load. And explore other physiological and psychological changes in this model.Methods: 50 eligible male students were selected, and were divided into two groups: task load group and control group. The subjects in task group were asked to take a two-hour multi-task. Before and after the task load, the NASA-TLX scale, the performance of tasks, reaction task, and static upright balance function are measured. And the cerebral oxygenation saturation was monitored through the whole experiment.Results: After 2 hours task load, the most indicators of the task load group are different with these of the control group(p<0.05). In the task-load group, compared to the rest state, the NASA-TLX score(p<0.01), and the rate of error in per second of volunteers have increased significantly(p<0.01), and the accuracy in per second decreased(p<0.01), and the Balance Index-1(BI-1) which suggested the level of task load has also increased significantly(p<0.01). And the cerebral oxygenation saturation has changed compared to the rest state.Conclusions: These results show that subjects in task load have become fatigue in some extent. And the balance index-1(BI-1) which suggests the level of task load has been proved effective. And we have discussed the changes of cerebral oxygenation saturation during the experiment.Part three: Assessments of sleep deprivation model due to physiological and psychological methods.Objective: Explore the changes of cerebral oxygenation saturation and static upright balance function under fatigue state due to sleep deprivation. And explore other physiological and psychological changes in this model.Methods: 37 male students were selected, and they were asked to undergo 40 hours sleep deprivation. The experiment dates were collected at 10:00 in the first day as the rest state, and were collected every 12 hours after that. Experiment dates include the performance of tasks, reaction task, static upright balance function, and the cerebral oxygenation saturation.Results: There is no significantly difference between the rest state and other states in the performance of tasks or the cerebral oxygenation saturation. After 24 hours sleep deprivation, we found that static upright balance function has changed a lot especially in NO post, 13 indicators(F1-F8, CA?EVA?RA?SDY?UAPL) have changed compared to rest state(p<0.05). We choose 10 indicators to do Principle Component Analysis, and we get the new indicator, Balance Index-2. And the IB-2s were different between rest state and other states(p<0.01).Conclusions: Static upright balance function could reflect the sleep disorder to some extend indirectly, and may have the early warning effect on sleep disorder. These results would lay the theoretical foundation for application of static upright balance function in sleep disorder assessment.