Biophysiological Signals

Modified characteriograph-assisted testings of spectrozonal analog lab-on-a-chip under laser beams

 

Acknowledgements:

  • “Development of the novel physical methods for complex biomedical diagnostics based on position-sensitive mapping with the angular resolution at the tissue and cellular levels using analytical labs-on-a-chip” (RFBR grant # 16-32-00914) [6 838,27 $ per year; 2016-2017];
  • “Lab-on-a-chip development for personalized diagnostics” (FASIE grant 0019125) [3 039,00 $ per year; 2016-2017].
65 views
  • Image Fusion
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Microfluidic Lab-on-a-dish (3D printing).

     

    O.V. Gradov group, INEPCP RAS, 2017-2018.

    https://vimeo.com/273508513

     

    Acknowledgements:

    45 views
  • Image Fusion
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Orientation tracking of a moving object has a widevariety of applications, including but not limited to military,surgical aid, navigation systems, mobile robots, gaming, virtualreality, and gesture recognition. In this article, a novel algorithmis presented to automatically track and quantify change ofdirection (COD) incident angles or heading angles (i.e. turningangles) of a moving athlete using the inertial sensor signals froma microtechnology unit (an inertia measurement unit (IMU))commonly used in elite sport.

    94 views
  • Sensors
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    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.

    727 views
  • Biophysiological Signals
  • Last Updated On: 
    Tue, 07/10/2018 - 02:19

    Electroencephalography (EEG) signal data was collected from twelve healthy subjects with no known musculoskeletal or neurological deficits (mean age 25.5 ± 3.7, 11 male, 1 female, 1 left handed, 11 right handed) using an EGI Geodesics© Hydrocel EEG 64-Channel spongeless sensor net. All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the University of Wisconsin-Milwaukee (17.352).

    603 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Tue, 11/12/2019 - 10:38

    The published sEMG database was captured by the Intelligent System and Biomedical Robotics Group at University of Portsmouth, leaded by Prof. Honghai Liu.

     

    Six subjects were volunteered for data capturing, and the sEMG data were captured in ten separate days. We manually separated the whole database into two parts: training dataset (the first 7 days) and testing dataset(the last 3 days). For each subject, two folders exist, one for training and the other for test. 

     

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

    Terabytes of brain EEG data are available through open sources, collected from tests associated with human cognitive capability, stroke patient recovery, class learning ability, and other social environments, over a wide range of demographics. Some also play with stimulus such as audio, music, video, lights and digital games. 

  • Neuroscience
  • Biophysiological Signals
  • Brain
  • Last Updated On: 
    Thu, 02/15/2018 - 09:50
    Citation Author(s): 
    J.A. Anguera, J. Boccanfuso, J.L. Rintoul, O. Al-Hashimi, F. Faraji, J. Janowich, E. Kong, Y.Larraburo, C. Rolle, E. Johnston and A. Gazzaley

    Terabytes of brain EEG data are available through open sources, collected from tests associated with human cognitive capability, stroke patient recovery, class learning ability, and other social environments, over a wide range of demographics. Some also play with stimulus such as audio, music, video, lights and digital games. 

  • Neuroscience
  • Biophysiological Signals
  • Brain
  • Last Updated On: 
    Wed, 10/11/2017 - 15:44
    Citation Author(s): 
    J.A. Anguera, J. Boccanfuso, J.L. Rintoul, O. Al-Hashimi, F. Faraji, J. Janowich, E. Kong, Y.Larraburo, C. Rolle, E. Johnston and A. Gazzaley

    Terabytes of brain EEG data are available through open sources, collected from tests associated with human cognitive capability, stroke patient recovery, class learning ability, and other social environments, over a wide range of demographics. Some also play with stimulus such as audio, music, video, lights and digital games.  

  • Neuroscience
  • Biophysiological Signals
  • Brain
  • Last Updated On: 
    Fri, 04/20/2018 - 15:35
    Citation Author(s): 
    To be provided

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