Showing 221 - 240 results of 4,685 for search '"Electroencephalography', query time: 0.11s Refine Results
  1. 221

    A Modified Gated Recurrent Unit Approach for Epileptic Electroencephalography Classification by Prakash, Vinod, Kumar, Dharmender

    Published 2023
    “…Epilepsy is one of the most severe non-communicable brain disorders associated with sudden attacks. Electroencephalography (EEG), a non-invasive technique, records brain activities, and these recordings are routinely used for the clinical evaluation of epilepsy. …”
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    Effects of Near-Infrared Pulsed Light on the Attention of Human Beings Using Electroencephalography by Jih-Huah Wu, Chia-Yen Yang, Yang-Chyuan Chang, Yi-Chia Shan

    Published 2023-06-01
    “…Compared to the placebo group, the PBM stimulation has a significant change in beta activity on electroencephalography (EEG). Three types of tests, the random number test, the Stroop color-word test, and the Multiple-Dimension Attention Test (MDAT), were used to evaluate the effects of the PBM stimulation. …”
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    Neurocognitive Correlates of Clinical Decision Making: A Pilot Study Using Electroencephalography by Serkan Toy, Somayeh B. Shafiei, Sahin Ozsoy, James Abernathy, Eda Bozdemir, Kristofer K. Rau, Deborah A. Schwengel

    Published 2023-11-01
    “…This study explored electroencephalography (EEG) to examine neurocognitive correlates of clinical decision making during a simulated American Board of Anesthesiology-style standardized oral exam. …”
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  12. 232

    A Systematic Review of Electroencephalography Open Datasets and Their Usage With Deep Learning Models by Alberto Nogales, Alvaro J. Garcia-Tejedor

    Published 2023-01-01
    “…This paper identifies the primary open datasets of electroencephalography tests and how they are used in deep learning models. …”
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    Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition by Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Scott Wellington, Holly Wilson, Marcus Liwicki, Johan Eriksson

    Published 2023-06-01
    “…Multimodal datasets of brain data enable the fusion of neuroimaging modalities with complimentary properties, such as the high spatial resolution of functional magnetic resonance imaging (fMRI) and the temporal resolution of electroencephalography (EEG), and therefore are promising for decoding inner speech. …”
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