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Continuous and repetitive performance of a task is likely to induce a drop in alertness levels of an individual. Changes in Electroencephalogram (EEG) have been proposed in literature as a marker of alertness during repeated performance of a cognitive task set. The present paper investigates the increase in fatigue levels and resultant drop in alertness of subjects during continuous performance of...
This paper proposes a scheme for assessing the alertness levels of an individual using simultaneous acquisition of multimodal physiological signals and fusing the information into a single metric for quantification of alertness. The system takes electroencephalogram, high-speed image sequence, and speech data as inputs. Certain parameters are computed from each of these measures as indicators of alertness...
Continuous and repetitive performance of cognitive tasks is likely to cause a change in the alertness levels of an individual. The present paper investigates the changes in EEG as a marker of alertness during an experiment designed to induce cognitive fatigue in subjects by continuous and repetitive performance of standard neuropsychological tests. Electroencephalogram (EEG), speech data and high-speed...
Degradation in performance of human subjects due to mental or physical fatigue can be suitably predicted by the use of the electroencephalogram (EEG). Synchronization measures between EEG signals from different regions of the brain are often employed to characterize the interaction of brain areas during mental and physical activity. Analysis of fatigue induced by loss of sleep using EEG synchronization...
Synchronization measures between Electro-Encephalogram (EEG) signals from different regions of the brain characterize the integration and segregation of brain areas during any mental and physical activity. EEG can reflect both the normal and abnormal activity of the brain and is widely used as a powerful tool in the field of clinical neurophysiology. Being sensitive to decreasing alertness and decline...
Electroencephalogram (EEG) is widely used to predict performance degradation of human subjects due to mental or physical fatigue. Analysis of fatigue due to sleep deprivation using EEG synchronization is a promising field of research. The present paper analyses advancing levels of fatigue in human drivers in a sleep-deprivation experiment by studying the synchronization between EEG data recorded from...
Synchronization measures between Electro-encephalograph (EEG) signals from different regions of the brain are often employed to characterize the interaction of brain areas during mental and physical activity. This work examines the variation of alertness of human subjects due to fatigue in a sleep-deprivation experiment involving a simulated driving task using a Horizontal Visibility Graph (HVG)-based...
Coordination between brain areas has been extensively studied by analyzing the synchronization of EEG signals generated in these areas. This paper proposes a complex network structure of the brain using the Visibility Graph Similarity technique to study the change of connectivity among brain areas at various stages of an experiment involving sleep-deprived subjects. The parameters of the network have...
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