Biophysiological Signals

One of the grand challenges in neuroscience is to understand the developing brain ‘in action and in context’ in complex natural settings. To address this challenge, it is imperative to acquire brain data from freely-behaving children to assay the variability and individuality of neural patterns across gender and age.

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  • Neuroscience
  • 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.

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  • 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

    The MyoUP (Myo University of Patras) database contains recordings from 8 intact subjects (3 females, 5 males; 1 left handed, 7 right handed; age 22.38 ± 1.06 years). The acquisition process was divided into three parts: 5 basic finger movements (E1), 12 isotonic and isometric hand configurations (E2), and 5 grasping hand-gestures (E3). The recording device used was the Myo Armband by Thalmic labs (8 dry sEMG channels and sampling frequency of 200Hz). The dataset was created for use in gesture recognition tasks.

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  • Biophysiological Signals
  • Last Updated On: 
    Thu, 10/10/2019 - 09:38

    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.

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

    A dataset collection program was written to obtain information about individual basic physiology, including collecting PPG waveform signals and detecting the instantaneous arterial BP at the same time. The table file contains aggregated subjects of physiological information and disease information. The information records include an identification (ID) number, sex, age, and disease. The dataset was collected from 219 adult subjects aged 21–86 years, as detailed in Fig. 10 [33]. Males accounted for 48% of the participants.

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  • Biophysiological Signals
  • Last Updated On: 
    Wed, 09/11/2019 - 02:15

    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.

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

    FRAP curve modeling using transient-sensitive analog computer unit with oscilloscopic CRT (Practicum, 2014)

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  • Neuroscience
  • Last Updated On: 
    Sat, 07/06/2019 - 07:39

    The data is obtained from electrocardiography, using flexible electrode, Ag/AgCl electrode and Metal Clamp electrode of a femal subject, age 22 years old.

    164 views
  • Sensors
  • Last Updated On: 
    Fri, 07/05/2019 - 11:42

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