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Mental fatigue is often associated with continuous brain activities in our daily life. It can diminish efficiency and increase errors. However, the related physiological features are still not clear and under exploration. The present study investigated changes of inter-hemispheric synchronization in event-related potentials (ERPs) due to mental fatigue during sustained memory processing. Twenty-six...
With the rapid development of online social media, the short text has become the prevalent format for information of Internet. Due to the severe data sparsity issue, accurately discovering knowledge behind these short texts remains a critical challenge. Since regular topic models, such as the Latent Dirichlet Allocation (LDA), can not perform well on short texts, many efforts have been put on building...
The measure of Generalized Partial Directed Coherence (GPDC) and surrogate data analysis of intracranial electroencephalographic (iEEG) signals can be used to determine the functional connections between brain sites. Characteristics of the nodes of the thus derived network during seizures from 9 patients with temporal lobe epilepsy were studied using centrality measures (Degree, Eigenvector, Katz,...
A seizure prediction system has the potential to significantly help patients with epilepsy. For a seizure forecasting system to work effectively, computational algorithms must reliably identify periods with high probability of seizure occurrence. We herein report results of a classification approach based on machine learning of EEG features in the frequency domain and aimed at differentiating between...
Considering the difficulty of data processing for typical mountain area, two experiments are shown in this paper to demonstrate the key factors and the details needed to pay attention when generating DEM using SAR data. The result indicates: (1) For DEM generation, it is better to use a pair of images with a short temporal baseline, scilicet, the ERS-1/2 tandem mode is one of the best choice; (2)...
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