Biomedical and Health Sciences

This cell images dataset is collected using an ultrafast imaging system known as asymmetric-detection time-stretch optical microscopy (ATOM)  for training and evaluation. This novel imaging approach can achieve label-free and high-contrast flow imaging with good cellular resolution images at a very high speed. Each acquired image belongs to one of the four classes: THP1, MCF7, MB231 and PBMC.

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

    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.

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

    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.

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

    This dataset contains in-silico results of insulin treatment using a fully automated artificial pancreas algorithm based on reinforcement learning for FDA-approved virtual patients (C. D. Man et al., 2014) with type 1 diabetes (10 adults and 10 adolescents). 

    87 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 11/04/2019 - 03:07

    This database contains the results of an experiment were healthy subjects played 5 trials of a rehabilitation-based VR game, to experience either difficulty variations or presence variations.

    Colected results are demogrpahic information, emotional emotions after each trial and electrophysiological signals during all 5 trials.

    84 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Fri, 09/27/2019 - 08:16

    One of the materials that is commonly being used in electronics applications is paper. It is flexible, cheap, highly available, and allows for simple manufacturing when paired with methods such as screen printing or inkjet printing. Proposed below is an optogenetic device that uses paper as the sole substrate, with a screen­printed PCB with Ag/AgCl wires. This device was quick and easy to manufacture, unlike the state of the art optoelectronic devices that use polymers and rely on complex fabrication methods such as photolithography.

    16 views
  • Energy
  • Last Updated On: 
    Mon, 09/16/2019 - 18:18

    This database contains the 166 Galvanic Skin Response (GSR) signal registers collected from the subjects participating in the first experiment (EXP 1) presented in:

    R. Martinez, A. Salazar-Ramirez, A. Arruti, E. Irigoyen, J. I. Martin and J. Muguerza, "A Self-Paced Relaxation Response Detection System Based on Galvanic Skin Response Analysis," in IEEE Access, vol. 7, pp. 43730-43741, 2019. doi: 10.1109/ACCESS.2019.2908445

    181 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Tue, 09/10/2019 - 11:32

    Motor point identification is pivotal to elicit comfortable and sustained muscle contraction through functional electrical stimulation. To this purpose, anatomical charts and manual search techniques are used to extract subject-specific stimulation profile. Such information being heterogenous they lack standardization and reproducibility. To address these limitations; we aim to identify, localize, and characterize the motor points of forearm muscles across nine healthy subjects.

    253 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Sun, 09/08/2019 - 02:11

    Hyperspectral (HS) imaging presents itself as a non-contact, non-ionizing and non-invasive technique, proven to be suitable for medical diagnosis. However, the volume of information contained in these images makes difficult providing the surgeon with information about the boundaries in real-time. To that end, High-Performance-Computing (HPC) platforms become necessary. This paper presents a comparison between the performances provided by five different HPC platforms while processing a spatial-spectral approach to classify HS images, assessing their main benefits and drawbacks.

    329 views
  • Image Processing
  • Last Updated On: 
    Thu, 08/29/2019 - 05:30

    Magnetic resonance spectroscopy (MRS) data for a series of GABA phantoms specifically  designed to provide ground truth data for GABA quantification based on MRS data. The spectra were obtained using the WIP Siemens implementation svs-edit of the common edited spectroscopy MEGAPRESS sequence on a 3T Siemens Magnetom Skyra system installed in the Clinical Imaging Unit at Swansea University (UK).

    199 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Fri, 08/16/2019 - 13:54

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