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2,000 results for “Hand”
MSL MARS HAND LENS IMAGER 2 EDR IMAGE V1.0
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MSL MARS HAND LENS IMAGER 2 EDR VIDEO V1.0
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MSL MARS HAND LENS IMAGER 4 RDR IMAGE V1.0
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Stem Cell-derived Microglia Exhibit HAND Gene Expression Signature Early Upon Infection with HIV-1
GEO Series GSE248999. Homo sapiens. 69 samples. Type: Expression profiling by high throughput sequencing.
Investigating the role of weight in body representation through the Rubber Hand Illusion: when individual weight concerns matter.
<p>This dataset is associated with the article: "Investigating the role of weight in body representation through the Rubber Hand Illusion: when individual weight concerns matter."</p> <p>These data cannot be made publicly available because they include sensitive information, but they can be made available upon reasonable request of interested researchers to the Corresponding Author, who will forward a transfer agreement request to the relevant Ethical Committee.</p> <p>Requests should be addressed to Federica Scarpina (<a href="mailto:f.scarpina@auxologico.it">f.scarpina@auxologico.it</a>)</p>
Dataset related to article "Robot-assisted rehabilitation of hand function after stroke: Development of prediction models for reference to therapy"
<p>DATASET #1</p> <p>Il data set è composto da 174 osservazioni riferite ad un campione di n=174 pazienti.</p> <p>Le variabili prese in considerazione per lo studio del data set sono 21:</p> <ul> <li> <p>ID_Pazient: variabile quantitativa continua, indica il numero di identificazione del paziente</p> </li> <li> <p>Sex: variabile dicotomica, indica il sesso del paziente (Maschio=0, Femmina=1)</p> </li> <li> <p>Age: variabile quantitativa continua, indica l'età del paziente nel momento in cui è stata effettuata la valutazione</p> </li> <li> <p>EMG_Control: variabile dicotomica, indica la capacità (Si=1) o meno (No=0) del soggetto di controllare il dispositivo con i propri segnali elettromiografici</p> </li> <li> <p>Force_Control: variabile dicotomica, indica la capacità (Si=1) o meno (No=0) del paziente di controllare il dispositivo con la propria forza</p> </li> <li> <p>Month_Injury: variabile quantitativa continua, indica i mesi trascorsi dalla data in cui è avvenuto l'ictus</p> </li> <li> <p>Diagnosis: variabile dicotomica, indica la tipologia di ictus: (Ischemico=0, Emorragico =1)</p> </li> <li> <p>Hemisphere: variabile dicotomica, indica quale emisfero cerebrale è stato colpito dall'ictus (Destro=0, Sinistro=1)</p> </li> <li> <p>FM_UE: variabile quantitativa discreta, indica la misura della funzione motoria dell'arto superiore determinata somministrando la scala Fugl-Meyer Upper Extremity</p> </li> <li> <p>Sensitivity: variabile quantitativa discreta, indica la sezione per la misura della sensibilità della scala Fugl-Meyer</p> </li> <li> <p>Pain_ROM: variabile quantitativa discreta, indica la sezione per la misura di articolarità e dolore della scala Fugl-Meyer</p> </li> <li> <p>FIM: variabile quantitativa discreta, indica la misura di autonomia della persona nelle attività della vita quotidiana, determinata dalla somministrazione della scala Functional Independence Measure</p> </li> <li> <p>RPS: variabile quantitativa discreta, indica la misura della funzione di raggiungimento di un oggetto</p> </li> <li> <p>Peg_Sec: variabile quantitativa continua, indica la misura della destrezza manuale fine e coincide con il rapporto tra il numero di pioli e i secondi impiegati per inserirli in uno specifico supporto</p> </li> <li> <p>PectMaj: variabile qualitativa ordinata, indica la misura della spasticità del pettorale, secondo la Modified Ashworth Scale</p> </li> <li> <p>BicBrach: variabile qualitativa ordinata, indica la misura della spasticità del bicipite, secondo la Modified Ashworth Scale</p> </li> <li> <p>FlexCarp: variabile qualitativa ordinata, indica la misura della spasticità del flessore del carpo, secondo la Modified Ashworth Scale</p> </li> <li> <p>FlexProfDig: variabile qualitativa ordinata, indica la misura della spasticità del flessore profondo delle dita, secondo la Modified Ashworth Scale</p> </li> <li> <p>FlexSupDig: variabile qualitativa ordinata, indica la misura della spasticità del flessore superficiale delle dita, secondo la Modified Ashworth Scale</p> </li> <li> <p>Ashworth_TOT: variabile quantitativa discreta, indica la misura totale della Modified Ashworth Scale, data dalla somma delle 5 variabili precedenti</p> </li> <li> <p>BB_par: variabile quantitativa discreta, indica la misura della destrezza manuale grossolana dell'arto paretico</p> </li> </ul>
C3D Motion Capture Data of Hand Movements
<p>This C3D motion capture data supplements the article <em>"Electromyography-Based Validation of a Musculoskeletal Hand Model"</em> from Melzner and Engelhardt et al. (2021) published at the Journal of Biomechanical Engineering (https://doi.org/10.1115/1.4052115). The following manuscript describes the exact experimental set-up of the data acquisition as well as the gained motion capture data provided as C3D-files.</p> <p>If you are using the provided dataset, please reference the corresponding paper in the Journal of Biomechanical Engineering.</p>
Masks for hands in X-Ray images
<p>Semantic segmentation masks for hands on scanned X-Rays from the RSNA Bone Age dataset.</p> <p>Mask were obtained manually using thresholding and edge detection and all masks were quality checked.</p> <p>Based on this two models (Tensormask and Efficient-UNet) were trained to obtain the masks on the full RSNA Bone Age dataset.</p> <p> </p>
Painted Hand Pose dataset
<p>Hands represent an important aspect of pictorial narration but have been fairly little addressed in art history and digital humanities. Furthermore, the classification of depicted hand poses requires a specific nomenclature which has not been built yet. Based on recent art historical works on hand gestures, we present the first annotated dataset of painted hands and introduces a new classification task. The Painted Hand Pose dataset was built from the photographic collection of the Bibliotheca Hertziana - Max Planck Institute for Art History from Early Modern European paintings. It holds a total of 1'398 images dispatched into 9 categories.</p>
Drawing lines and circles in Parkinson's Disease: The lateralized symptoms interfere with the movements of the unaffected hand
<p>Dataset associated with the article:</p> <p>Scarpina F, Bruno V, Rabuffetti M, Priano L, Tagini S, Gindri P, Mauro A, Garbarini F. Drawing lines and circles in Parkinson's Disease: The lateralized symptoms interfere with the movements of the unaffected hand. <em>Neuropsychologia.</em> 2020 Dec 10;151:107718. doi: 10.1016/j.neuropsychologia.2020.107718.</p> <p> </p>
EXPRESS: The Self-perceived Body Size in Obesity: Evidence from the Implicit Representation of the Hand.
<p>Dataset associated with the article:</p> <p>Tagini S, Scarpina F, Scacchi M, Mauro A, Zampini M. EXPRESS: The Self-perceived Body Size in Obesity: Evidence from the Implicit Representation of the Hand. Q J Exp Psychol (Hove). 2020 Dec 17:1747021820985441. doi: 10.1177/1747021820985441.</p> <p> </p>
Raw data for "Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain-Computer Interface": unpublished figures and source data.
<p>Figures 1-4: Selected features (EEG-EMG and EMG-EMG couples) for movement vs rest classification (Ext R and L, Gra R and L). </p> <p>Figure 5: Distribution of Gra vs Ext classification among bands. </p> <p>Source data. </p>
Movies of a novel wireless prosthetic hand
<p>The movie showed the function of pinching, grasping, and gripping. In addition, video clips by a participant performing the 5th STEF (the Simple Test for Evaluating Hand Function): moving six wooden disks.</p>
MSL MARS HAND LENS IMAGER 2 EDR IMAGE V1.0
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MSL MARS HAND LENS IMAGER 4 RDR IMAGE V1.0
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MSL MARS HAND LENS IMAGER 4 RDR ZSTACK V1.0
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MSL MARS HAND LENS IMAGER 4 RDR VIDEO V1.0
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MSL MARS HAND LENS IMAGER 2 EDR ZSTACK V1.0
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MSL MARS HAND LENS IMAGER 2 EDR VIDEO V1.0
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The Virtual Hand Illusion in Obesity
<p>Data set associated with the article "The Virtual Hand Illusion in Obesity"</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.