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Multi-channel EEG recordings during 3,936 grasp and lift trials with varying weight and friction
Umeå University, Faculty of Medicine, Department of Integrative Medical Biology (IMB), Physiology. Department of Kinesiology, Faculty of Physiotherapy, University School of Physical Education, Wroclaw 51-612, Poland.
Umeå University, Faculty of Medicine, Department of Integrative Medical Biology (IMB), Physiology.ORCID iD: 0000-0001-9010-5612
2014 (English)In: Scientific Data, E-ISSN 2052-4463, Vol. 1, article id 140047Article in journal (Refereed) Published
Abstract [en]

WAY-EEG-GAL is a dataset designed to allow critical tests of techniques to decode sensation, intention, and action from scalp EEG recordings in humans who perform a grasp-and-lift task. Twelve participants performed lifting series in which the object's weight (165, 330, or 660 g), surface friction (sandpaper, suede, or silk surface), or both, were changed unpredictably between trials, thus enforcing changes in fingertip force coordination. In each of a total of 3,936 trials, the participant was cued to reach for the object, grasp it with the thumb and index finger, lift it and hold it for a couple of seconds, put it back on the support surface, release it, and, lastly, to return the hand to a designated rest position. We recorded EEG (32 channels), EMG (five arm and hand muscles), the 3D position of both the hand and object, and force/torque at both contact plates. For each trial we provide 16 event times (e.g., 'object lift-off') and 18 measures that characterize the behaviour (e. g., 'peak grip force').

Place, publisher, year, edition, pages
Nature Publishing Group, 2014. Vol. 1, article id 140047
National Category
Neurology
Identifiers
URN: urn:nbn:se:umu:diva-142769DOI: 10.1038/sdata.2014.47ISI: 000209843500043PubMedID: 25977798OAI: oai:DiVA.org:umu-142769DiVA, id: diva2:1166518
Available from: 2017-12-15 Created: 2017-12-15 Last updated: 2017-12-15Bibliographically approved

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