Titlebook: Brain-Computer Interfaces; Current Trends and A Aboul Ella Hassanien,Ahmad Taher Azar Book 2015 Springer International Publishing Switzerla

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書目名稱Brain-Computer Interfaces影響因子(影響力)




書目名稱Brain-Computer Interfaces影響因子(影響力)學(xué)科排名




書目名稱Brain-Computer Interfaces網(wǎng)絡(luò)公開度




書目名稱Brain-Computer Interfaces網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Brain-Computer Interfaces被引頻次




書目名稱Brain-Computer Interfaces被引頻次學(xué)科排名




書目名稱Brain-Computer Interfaces年度引用




書目名稱Brain-Computer Interfaces年度引用學(xué)科排名




書目名稱Brain-Computer Interfaces讀者反饋




書目名稱Brain-Computer Interfaces讀者反饋學(xué)科排名

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Source Localization for Brain-Computer Interfacesthe EEG signal by its spatial features. This chapter is dedicated to the essential theory related to electromagnetic source localization problem with a particular focus on the family of sparse localization approaches. First we discuss general electromagnetic head modelling methods used to solve the

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Hippocampal Theta-Based Brain Computer Interface and substantial—theta-contingent training produces a two- to four-fold increase in learning speed, accompanied by striking differences in hippocampal, prefrontal and cerebellar electrophysiological patterns. Unlike many interfaces that serve as sensory or motor prostheses, our system appears to eng

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Detection of Human Emotions Using Features Based on the Multiwavelet Transform of EEG Signalset decomposition of EEG signals. These features have been used as an input to multiclass least squares support vector machine (MC-LS-SVM) together with the radial basis function (RBF), Mexican hat wavelet, and Morlet wavelet kernel functions for classification of human emotions from EEG signals. The

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Mood Recognition System Using EEG Signal of Song Induced Activitiesucted for 25?min, with eye closed and each subject was asked to concentrate on the given tasks. In this study, we have created EEG dataset containing data of five mental tasks of ten different subjects. We determine the alpha rhythms in the left hemisphere are more predominant over the right hemisph