In this report, we proposed a method for identifying individual characteristics in electroencephalography of the brain of people suffering from chronic migraine during cognitive load. The method is based on a recurrence analysis. The analysis was carried out separately for complex and simple stimuli during cognitive test and comparisons were made between them. This approach makes it possible to identify for each subject the connections between records in which the frequency increases at the time of the cognitive test and/or a stable pattern is formed. The proposed method has a large number of applications in medicine and neurophysiology.
We describe the features of the occurrence of the “monotony” state in practically healthy young adults. The materials of processing results of experimental data of test subjects (N = 13, aged 29 ± 4.3 years, men) are presented. Mathematical processing of the reaction time of the subjects during a long test on the perception of visual objects allowed us to identify two different response scenarios of the subjects, associated with more and less resistance to the occurrence of monotony in the process of uniform cognitive load. The differentiation of the subjects into two subgroups is confirmed by other objectively calculated characteristics (the number of erroneous decisions and average reaction time). The observed effects may be associated with the ability of the nervous system to adapt to prolonged stress.
In this work presents a study of the features of alpha rhythm formation before and after cognitive load in children aged 9-10 years. Experimental studies were conducted for two groups of children of 5 people (a group with visual disabilities up to 25%, a group with almost normal vision from 80%). In General, a decrease in the alpha-rhythm power was demonstrated for the group of disabilities children in comparison with the group of practically healthy subjects. Spatial maps of the alpha rhythm distribution are presented, showing the features of localization of this rhythm during passive wakefulness and solving cognitive tasks.
In this report we proposed a method for identifying the individual characteristics of motor activity based on the recurrence analysis as applied to the encephalography of the human brain. The analysis was carried out according to the real and imaginary movements of the subjects and compared with each other. This approach makes it possible to identify for each subject connections between channels in which the frequency increases at the moment of motor activity and/or a stable pattern corresponding to this movement is formed. The proposed method has a large number of applications in medicine and neurophysiology.
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