MeganePro dataset 4 (MDS4)
General Information The dataset contains the data of hand and phantom limb repositioning in the presence of hindering physical matter (Exercises 4-5) acquired during the Myo-Electricity, Gaze And Artificial-intelligence for Neurocognitive Examination & Prosthetics (MeganePro) project . The data...
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| creator | Saetta, Gianluca Cognolato, Matteo Atzori, Manfredo Faccio, Diego Giacomino, Katia Mittaz Hager, Anne-Gabrielle Tiengo, Cesare Bassetto, Franco Müller, Henning Brugger, Peter |
| description | General Information
The dataset contains the data of hand and phantom limb repositioning in the presence of hindering physical matter (Exercises 4-5) acquired during the Myo-Electricity, Gaze And Artificial-intelligence for Neurocognitive Examination & Prosthetics (MeganePro) project . 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.
Acquisition Protocol
Task 2 (indicated as exercise n.4). In amputees:
Motor imagery of the phantom limb
Motor execution of the phantom limb, requiring the movements of the stump
Motor imagery of the intact hand
Motor execution of the intact hand
Task 2 (indicated as exercise n.4). In able-bodied participants:
Motor imagery of each of the two hands
Motor execution of each of the two hands
Task 3 (indicated as exercise n.5). Only In amputees:
Motor imagery of the phantom limb
Motor execution of the phantom limb, requiring the movements of the stump
Data Information
Data type
Surface electromyography (sEMG)
Accelerometry
Gaze
Video of scene in the participant's first-person perspective
Data format
MAT-file format containing the standard data record
MAT-file format containing the auxiliary data record with original sampling
MPEG-4 files for the video of the scene |
| doi_str_mv | 10.7910/dvn/f9r33n |
| format | Dataset |
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The dataset contains the data of hand and phantom limb repositioning in the presence of hindering physical matter (Exercises 4-5) acquired during the Myo-Electricity, Gaze And Artificial-intelligence for Neurocognitive Examination & Prosthetics (MeganePro) project . 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.
Acquisition Protocol
Task 2 (indicated as exercise n.4). In amputees:
Motor imagery of the phantom limb
Motor execution of the phantom limb, requiring the movements of the stump
Motor imagery of the intact hand
Motor execution of the intact hand
Task 2 (indicated as exercise n.4). In able-bodied participants:
Motor imagery of each of the two hands
Motor execution of each of the two hands
Task 3 (indicated as exercise n.5). Only In amputees:
Motor imagery of the phantom limb
Motor execution of the phantom limb, requiring the movements of the stump
Data Information
Data type
Surface electromyography (sEMG)
Accelerometry
Gaze
Video of scene in the participant's first-person perspective
Data format
MAT-file format containing the standard data record
MAT-file format containing the auxiliary data record with original sampling
MPEG-4 files for the video of the scene</description><identifier>DOI: 10.7910/dvn/f9r33n</identifier><language>eng</language><publisher>Harvard Dataverse</publisher><subject>Arm--Amputation ; Eye tracking ; Eye-hand coordination ; Gaze ; Imagery ; Medicine, Health and Life Sciences ; Phantom Limb</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.7910/dvn/f9r33n$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Saetta, Gianluca</creatorcontrib><creatorcontrib>Cognolato, Matteo</creatorcontrib><creatorcontrib>Atzori, Manfredo</creatorcontrib><creatorcontrib>Faccio, Diego</creatorcontrib><creatorcontrib>Giacomino, Katia</creatorcontrib><creatorcontrib>Mittaz Hager, Anne-Gabrielle</creatorcontrib><creatorcontrib>Tiengo, Cesare</creatorcontrib><creatorcontrib>Bassetto, Franco</creatorcontrib><creatorcontrib>Müller, Henning</creatorcontrib><creatorcontrib>Brugger, Peter</creatorcontrib><title>MeganePro dataset 4 (MDS4)</title><description>General Information
The dataset contains the data of hand and phantom limb repositioning in the presence of hindering physical matter (Exercises 4-5) acquired during the Myo-Electricity, Gaze And Artificial-intelligence for Neurocognitive Examination & Prosthetics (MeganePro) project . 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.
Acquisition Protocol
Task 2 (indicated as exercise n.4). In amputees:
Motor imagery of the phantom limb
Motor execution of the phantom limb, requiring the movements of the stump
Motor imagery of the intact hand
Motor execution of the intact hand
Task 2 (indicated as exercise n.4). In able-bodied participants:
Motor imagery of each of the two hands
Motor execution of each of the two hands
Task 3 (indicated as exercise n.5). Only In amputees:
Motor imagery of the phantom limb
Motor execution of the phantom limb, requiring the movements of the stump
Data Information
Data type
Surface electromyography (sEMG)
Accelerometry
Gaze
Video of scene in the participant's first-person perspective
Data format
MAT-file format containing the standard data record
MAT-file format containing the auxiliary data record with original sampling
MPEG-4 files for the video of the scene</description><subject>Arm--Amputation</subject><subject>Eye tracking</subject><subject>Eye-hand coordination</subject><subject>Gaze</subject><subject>Imagery</subject><subject>Medicine, Health and Life Sciences</subject><subject>Phantom Limb</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2020</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNotzj0PgjAUheEuDgZdHJ0Y1QTppYXS0eBnAtFE9uYWWkOiaICY-O-V4HS29zyEzICuhQTql-_at7JhrB6TeWZuWJtL83RL7LA1ncvdRba98uWEjCzeWzP9r0Py_S5Pjl56PpySTeqVAmov0sh0jCXQECIrwAY64JQGEgUX1CDYSLLIQCghhsBqbYWAIg4tCOAGGXPIasj2_0XVGfVqqgc2HwVU9V7186rBy75tAjbT</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Saetta, Gianluca</creator><creator>Cognolato, Matteo</creator><creator>Atzori, Manfredo</creator><creator>Faccio, Diego</creator><creator>Giacomino, Katia</creator><creator>Mittaz Hager, Anne-Gabrielle</creator><creator>Tiengo, Cesare</creator><creator>Bassetto, Franco</creator><creator>Müller, Henning</creator><creator>Brugger, Peter</creator><general>Harvard Dataverse</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>2020</creationdate><title>MeganePro dataset 4 (MDS4)</title><author>Saetta, Gianluca ; Cognolato, Matteo ; Atzori, Manfredo ; Faccio, Diego ; Giacomino, Katia ; Mittaz Hager, Anne-Gabrielle ; Tiengo, Cesare ; Bassetto, Franco ; Müller, Henning ; Brugger, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d71n-6ba3b8ad10516f71f2b240029a7470ea1f6936e1591812fbbf771c85f1714ea33</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Arm--Amputation</topic><topic>Eye tracking</topic><topic>Eye-hand coordination</topic><topic>Gaze</topic><topic>Imagery</topic><topic>Medicine, Health and Life Sciences</topic><topic>Phantom Limb</topic><toplevel>online_resources</toplevel><creatorcontrib>Saetta, Gianluca</creatorcontrib><creatorcontrib>Cognolato, Matteo</creatorcontrib><creatorcontrib>Atzori, Manfredo</creatorcontrib><creatorcontrib>Faccio, Diego</creatorcontrib><creatorcontrib>Giacomino, Katia</creatorcontrib><creatorcontrib>Mittaz Hager, Anne-Gabrielle</creatorcontrib><creatorcontrib>Tiengo, Cesare</creatorcontrib><creatorcontrib>Bassetto, Franco</creatorcontrib><creatorcontrib>Müller, Henning</creatorcontrib><creatorcontrib>Brugger, Peter</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Saetta, Gianluca</au><au>Cognolato, Matteo</au><au>Atzori, Manfredo</au><au>Faccio, Diego</au><au>Giacomino, Katia</au><au>Mittaz Hager, Anne-Gabrielle</au><au>Tiengo, Cesare</au><au>Bassetto, Franco</au><au>Müller, Henning</au><au>Brugger, Peter</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>MeganePro dataset 4 (MDS4)</title><date>2020</date><risdate>2020</risdate><abstract>General Information
The dataset contains the data of hand and phantom limb repositioning in the presence of hindering physical matter (Exercises 4-5) acquired during the Myo-Electricity, Gaze And Artificial-intelligence for Neurocognitive Examination & Prosthetics (MeganePro) project . 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.
Acquisition Protocol
Task 2 (indicated as exercise n.4). In amputees:
Motor imagery of the phantom limb
Motor execution of the phantom limb, requiring the movements of the stump
Motor imagery of the intact hand
Motor execution of the intact hand
Task 2 (indicated as exercise n.4). In able-bodied participants:
Motor imagery of each of the two hands
Motor execution of each of the two hands
Task 3 (indicated as exercise n.5). Only In amputees:
Motor imagery of the phantom limb
Motor execution of the phantom limb, requiring the movements of the stump
Data Information
Data type
Surface electromyography (sEMG)
Accelerometry
Gaze
Video of scene in the participant's first-person perspective
Data format
MAT-file format containing the standard data record
MAT-file format containing the auxiliary data record with original sampling
MPEG-4 files for the video of the scene</abstract><pub>Harvard Dataverse</pub><doi>10.7910/dvn/f9r33n</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | DOI: 10.7910/dvn/f9r33n |
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| language | eng |
| recordid | cdi_datacite_primary_10_7910_dvn_f9r33n |
| source | DataCite |
| subjects | Arm--Amputation Eye tracking Eye-hand coordination Gaze Imagery Medicine, Health and Life Sciences Phantom Limb |
| title | MeganePro dataset 4 (MDS4) |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T09%3A32%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Saetta,%20Gianluca&rft.date=2020&rft_id=info:doi/10.7910/dvn/f9r33n&rft_dat=%3Cdatacite_PQ8%3E10_7910_dvn_f9r33n%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |