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The electro-encephalogram (EEG) is useful for clinical diagnosis and in biomedical research. EEG signals, however, especially those recorded from frontal channels, often contain strong electro-oculogram (EOG) artifacts produced by eye movements. Existing regression-based methods for removing EOG artifacts require various procedures for preprocessing and(More)
We recently proposed an adaptive filtering method for removing ocular artifacts from EEG recordings. In this study, the accuracy of this method is evaluated quantitatively using simulated data and compared with the accuracy of the time domain regression method. The results show that when transfer of ocular signal to EEG channel is frequency dependent, or(More)
This article includes a comprehensive survey of different routing protocols and mobility models used to develop Vehicular Adhoc Network(VANET). VANETs comprise of vehicle-to-vehicle and vehicle-to-infrastructure communication based on wireless local area network technologies. It is required for safety, and user application. For better visualization,(More)
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