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The proposed signals are used  for electromagnetic-based stroke classification.  Six realistic head phantom computed from MRI scans, is surrounded by an antenna array of 16 dipole antennas distributed uniformly around the head. These antennas are deployed in a fixed circular array around the head, at a distance of approximately 2-3 mm from the head.

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Mobile Brain-Body Imaging (MoBI) technology was deployed at the Museo de Arte Contemporáneo (MARCO) in Monterrey, México, in an effort to collect Electroencefalographic (EEG) data from large numbers (N = ~1200) of participants and allow the study of the brain’s response to artistic stimuli, as part of the studies developed by University of Houston (TX, USA) and Tecnológico de Monterrey (MTY, México).

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The IEEE Brain Initiative is partnering with the 3rd IEEE Big Data Governance and Metadata Management Workshop (BDGMM) to host Hackathon Track #2, Brain Data Bank on Video Gaming Enhances Cognitive Skills. The BDGMM Workshop will be held in conjunction with IEEE Big Data 2018 in Seattle, Washington, and the hackathon will take place 10-11 December 2018. Cash awards will be given to top places.
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Videomicroscopic Semi-Shadow Visualization of LoC-Si (Lab-on-a-Chip_[based_on]_Silicone) test structures from Institute of Molecular Electronics (D. Shevchenko; founder of Scientific and Production Association "Microbiotechniques" Ltd.) and Russian Academy of Sciences (INEPCP RAS; ICP RAS)

 

Vis. Tech.: MBS-10 Binocular Stereoscopic Microscope; Indirect Angular Illumination.

 

Found.: Initiative project (D. Shevchenko, O. Gradov; 2015-2016)

 

Fab.: JSC “Voskhod” KRLZ*

 

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This dataset consists of raw EEG data from 48 subjects who participated in a multitasking workload experiment utilizing the SIMKAP multitasking test. The subjects’ brain activity at rest was also recorded before the test and is included as well. The Emotiv EPOC device, with sampling frequency of 128Hz and 14 channels was used to obtain the data, with 2.5 minutes of EEG recording for each case. Subjects were also asked to rate their perceived mental workload after each stage on a rating scale of 1 to 9 and the ratings are provided in a separate file.

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