MeganePro dataset 4 (MDS4)
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/F9R33N
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<h1> General Information </h1> The dataset contains the data of hand and phantom limb repositioning in the presence of hindering physical matter (Exercises 4-5) acquired during the <a href='http://ninaweb.hevs.ch/MeganePro'>Myo-Electricity, Gaze And Artificial-intelligence for Neurocognitive Examination & Prosthetics (MeganePro) project</a>. The data were collected to examine the changes in phantom limb sensations and eye movement patterns in reaction to a physical object invading the phenomenal space of a phantom limb. Motor imagery and motor execution were both considered. These data are relevant to the way the phantom interacts with a prosthesis, and might provide useful insights into the mechanism underlying the embodiment of an artificial limb. The data represents the first-ever attempt to characterise quantitatively phantom limb phenomena hitherto only described in self reports. The dataset includes surface electromyography (sEMG), accelerometry, gaze, and video of scene in first-person perspective. <h1> Acquisition Protocol </h1> Task 2 (indicated as exercise n.4). In amputees: <br> <ul> <li> Motor imagery of the phantom limb </li> <li> Motor execution of the phantom limb, requiring the movements of the stump </li> <li> Motor imagery of the intact hand </li> <li> Motor execution of the intact hand </li> </ul> <br> Task 2 (indicated as exercise n.4). In able-bodied participants: <ul> <li> Motor imagery of each of the two hands </li> <li> Motor execution of each of the two hands </li> </ul> <br> Task 3 (indicated as exercise n.5). Only In amputees: <br> <ul> <li> Motor imagery of the phantom limb </li> <li> Motor execution of the phantom limb, requiring the movements of the stump </li> </ul> <br> <h1> Data Information </h1> <h2> Data type </h2> <ul> <li> Surface electromyography (sEMG) </li> <li> Accelerometry </li> <li> Gaze </li> <li> Video of scene in the participant's first-person perspective </li> </ul> <h2> Data format </h2> <ul> <li> MAT-file format containing the standard data record <br></li> <li> MAT-file format containing the auxiliary data record with original sampling <br></li><li> MPEG-4 files for the video of the scene </ul>
提供机构:
Harvard Dataverse
创建时间:
2020-01-16



