Biophysiological Signals

Segmented EEG Data from 12 Subjects during Left and Right Bicep Flexion

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).

Categories:: Biomedical and Health Sciences
Neuroscience
Biophysiological Signals
Brain
Signal Processing
Digital signal processing

1337 Views

ISRMyo-I

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.

Categories:: Biomedical and Health Sciences
Biophysiological Signals

480 Views

IEEE Brain Data Bank Challenge - Glasgow, Scotland

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

Submitted On:

Fri, 08/04/2017 - 19:26

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