| pubmed-article:19163007 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:19163007 | lifeskim:mentions | umls-concept:C0026649 | lld:lifeskim |
| pubmed-article:19163007 | lifeskim:mentions | umls-concept:C0018563 | lld:lifeskim |
| pubmed-article:19163007 | lifeskim:mentions | umls-concept:C0014406 | lld:lifeskim |
| pubmed-article:19163007 | lifeskim:mentions | umls-concept:C1158478 | lld:lifeskim |
| pubmed-article:19163007 | lifeskim:mentions | umls-concept:C1705422 | lld:lifeskim |
| pubmed-article:19163007 | lifeskim:mentions | umls-concept:C1553497 | lld:lifeskim |
| pubmed-article:19163007 | pubmed:dateCreated | 2009-2-16 | lld:pubmed |
| pubmed-article:19163007 | pubmed:abstractText | It has been shown that Brain-Computer Interfaces (BCIs) involving closed-loop control of an external device, while receiving visual feedback, allows subjects to adaptively correct errors and improve the accuracy of control. Although closed-loop cortical control of gross arm movements has been demonstrated, closed-loop decoding of more dexterous movements such as individual fingers has not been shown. Neural recordings were obtained from rhesus monkeys in three different experiments involving individuated flexion/extension of each finger, wrist rotation, and dexterous grasps. Separate decoding filters were implemented in Matlab's Simulink environment to independently decode this suite of dexterous movements in real-time. Average real-time decoding accuracies of 80% was achieved for all dexterous tasks with as few as 15 neurons for individual finger flexion/extension, 41 neurons for wrist rotation, and 79 neurons for grasps. In lieu of the availability of advanced multi-fingered prosthetic hands, real-time visual feedback of the decoded output was provided through actuation of a virtual prosthetic hand in a Virtual Integration Environment. This work lays the foundation for future closed-loop experiments with monkeys in the loop and dexterous control of an actual prosthetic limb. | lld:pubmed |
| pubmed-article:19163007 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19163007 | pubmed:language | eng | lld:pubmed |
| pubmed-article:19163007 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19163007 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:19163007 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:19163007 | pubmed:issn | 1557-170X | lld:pubmed |
| pubmed-article:19163007 | pubmed:author | pubmed-author:ThakorNitish... | lld:pubmed |
| pubmed-article:19163007 | pubmed:author | pubmed-author:SchieberMarc... | lld:pubmed |
| pubmed-article:19163007 | pubmed:author | pubmed-author:HeJipingJ | lld:pubmed |
| pubmed-article:19163007 | pubmed:author | pubmed-author:AggarwalVikra... | lld:pubmed |
| pubmed-article:19163007 | pubmed:author | pubmed-author:SinghalGirish... | lld:pubmed |
| pubmed-article:19163007 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:19163007 | pubmed:volume | 2008 | lld:pubmed |
| pubmed-article:19163007 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:19163007 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:19163007 | pubmed:pagination | 1703-6 | lld:pubmed |
| pubmed-article:19163007 | pubmed:dateRevised | 2009-11-19 | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:meshHeading | pubmed-meshheading:19163007... | lld:pubmed |
| pubmed-article:19163007 | pubmed:year | 2008 | lld:pubmed |
| pubmed-article:19163007 | pubmed:articleTitle | Towards closed-loop decoding of dexterous hand movements using a virtual integration environment. | lld:pubmed |
| pubmed-article:19163007 | pubmed:affiliation | Department of Biomedical Engineering at The Johns Hopkins University, Baltimore, MD, USA. vaggarwal@jhu.edu | lld:pubmed |
| pubmed-article:19163007 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:19163007 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
| pubmed-article:19163007 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
