Brain

Recent advances in scalp electroencephalography (EEG) as a neuroimaging tool have now allowed researchers to overcome technical challenges and movement restrictions typical in traditional neuroimaging studies.  Fortunately, recent mobile EEG devices have enabled studies involving cognition and motor control in natural environments that require mobility, such as during art perception and production in a museum setting, and during locomotion tasks.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    812 views

    This dataset is associated with the paper, Jackson & Hall 2016, which is open source, and can be found here: http://ieeexplore.ieee.org/document/7742994/

    The DataPort Repository contains the data used primarily for generating Figure 1.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Sat, 06/16/2018 - 23:05
    469 views

    The dataset consists of EEG recordings obtained when subjects are listening to different utterances : a, i, u, bed, please, sad. A limited number of EEG recordings where also obtained when the three vowels were corrupted by white and babble noise at an SNR of 0dB. Recordings were performed on 8 healthy subjects.

  • Brain
  • Last Updated On: 
    Mon, 08/12/2019 - 11:24
    250 views

    The provided EEG data were acquired from sixteen healthy young adults (age range 22 - 30 years) with no history of neurological, physical, or psychiatric illness. All the participants were naive BCI users who had not participated in any related experiments before. Informed consents were received from all participants.  The study has been approved by the Institutional Research Ethics Committee of Nazarbayev University.  

     

  • Medical Imaging
  • Last Updated On: 
    Sun, 05/19/2019 - 08:11
    370 views

     

    This material is associated with the PhD Thesis of Javier Olias (which is supervised by Sergio Cruces) and the article:
    EEG Signal Processing in MI-BCI Applications with Improved Covariance Matrix Estimators
    by J.Olias, R. Martin-Clemente, M.A. Sarmiento-Vega and S. Cruces,
    which was accepted in 2019 by IEEE Transactions on Neural Systems and Rehabilitation Engineering.

  • Brain
  • Last Updated On: 
    Thu, 03/14/2019 - 06:58
    316 views

    Our state of arousal can significantly affect our ability to make optimal decisions, judgments, and actions in real-world dynamic environments. The Yerkes-Dodson law, which posits an inverse-U relationship between arousal and task performance, suggests that there is a state of arousal that is optimal for behavioral performance in a given task. Here we show that we can use on-line neurofeedback to shift an individual's arousal from the right side of the Yerkes-Dodson curve to the left toward a state of improved performance.

  • Neuroscience
  • Last Updated On: 
    Mon, 03/04/2019 - 05:35
    237 views

    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. A Gaussian pulse covering the bandwidth from 0:7 to 2 GHz is emitted from each of the antennas, sequentially, while all of the antennas capture the scattered signals. Since 16 antennas were used, there are a total of 256 channel signals (i.e.

  • Biophysiological Signals
  • Last Updated On: 
    Sat, 09/21/2019 - 20:32
    162 views

    This code was used in some previous our articles, such as:

  • Image Fusion
  • Last Updated On: 
    Wed, 01/16/2019 - 03:45
    31 views

    NGM software for applied neurogoniometry. See our previous articles.

  • Image Fusion
  • Last Updated On: 
    Wed, 01/16/2019 - 03:35
    40 views

    See .doc-fie in the attachement.

  • Image Fusion
  • Last Updated On: 
    Wed, 01/16/2019 - 03:15
    31 views

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