Mental fatigue is an important factor of human health and safety. It is important to achieve dynamic mental fatigue detection by using electroencephalogram (EEG) signals for fatigue prevention and job performance improvement. We in our study induced subjects' mental fatigue with 30 h sleep deprivation (SD) in the experiment. We extracted EEG features, including relative power, power ratio, center of gravity frequency (CGF), and basic relative power ratio. Then we built mental fatigue prediction model by using regression analysis. And we conducted lead optimization for prediction model. Result showed that R2 of prediction model could reach to 0.932. After lead optimization, 4 leads were used to build prediction model, in which R2 could reach to 0.811. It can meet the daily application accuracy of mental fatigue prediction.
ObjectiveTo observe the relationship between the serum level changes of high-sensitivity C-reactive protein (hsCRP), interleukin (IL)-18, intercellular adhesion molecule-1(ICAM1), matrix metalloproteinase (MMP)-9 and lipoprotein-associated phospholipase A2(Lp-PLA2), and the multiple factors of acute cerebral infarction (ACI). MethodsWe chose 76 patients with ACI treated between July 2012 and June 2014 as our study subjects.On the second day (acute phase) and the 15th day (recovery phase) after onset, we checked the patients for their serum levels of hsCRP, IL-18, ICAM1, MMP-9 and Lp-PLA2.Then, multiple linear regression analysis was performed to observe the correlation of the serum level change degree of inflammatory factors with hypertension, diabetes, coronary heart disease, smoking history, carotid atherosclerotic plaque, lipid levels, infarct size and National Institute of Health Stroke Scale (NIHSS) score. ResultsThe changes of all the inflammatory factors in the acute phase and the recovery phase of cerebral infarction were not significantly related to smoking history, hypertension, coronary heart disease, low-density lipoprotein and NIHSS scores (P > 0.05).The changes of hsCRP and ICAM1 had significant correlation with cerebral infarct size, diabetes mellitus and carotid atherosclerotic plaque (P < 0.05), and the change level of Lp-PLA2 was related to diabetes mellitus, and carotid atherosclerotic plaque (P < 0.05).MMP-9 serum level change had correlation with only cerebral infarct size (P < 0.05). ConclusionsSerum level changes of inflammatory factors are related to various factors of cerebral infarction.The main factors that affecting the serum level changes are cerebral infarction area, diabetes mellitus and carotid atherosclerosis.