| pubmed-article:17946392 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:17946392 | lifeskim:mentions | umls-concept:C0205102 | lld:lifeskim |
| pubmed-article:17946392 | lifeskim:mentions | umls-concept:C0427008 | lld:lifeskim |
| pubmed-article:17946392 | lifeskim:mentions | umls-concept:C0034929 | lld:lifeskim |
| pubmed-article:17946392 | lifeskim:mentions | umls-concept:C0681916 | lld:lifeskim |
| pubmed-article:17946392 | lifeskim:mentions | umls-concept:C0750572 | lld:lifeskim |
| pubmed-article:17946392 | lifeskim:mentions | umls-concept:C0680844 | lld:lifeskim |
| pubmed-article:17946392 | pubmed:dateCreated | 2007-10-23 | lld:pubmed |
| pubmed-article:17946392 | pubmed:abstractText | Joint stiffness is defined as the dynamic relationship between the position of the joint and torque acting about it. Joint stiffness is composed of two components: intrinsic and reflex stiffness. Measuring the two stiffness components cannot be done simply because the two components appear and change together. A number of approaches have been used to estimate the components, but all those approaches are inherently off-line. We have developed novel algorithm that separates and estimates the two components in real-time. Intrinsic stiffness was estimated by finding the cross-correlations between the position, its derivatives and the torque. Reflex stiffness was estimated by finding the IRF between the half-wave rectified velocity and the estimated reflex torque. A novel position perturbation, consisting of pseudo random series of pulses of different lengths, was used to eliminate covariance of intrinsic and reflex stiffness estimates. Using simulated data, the real-time estimates were shown to be estimated accurately. The real-time estimation algorithm was validated by comparing the real-time estimates with estimates generated by the parallel-cascade identification, an established off-line intrinsic and reflex stiffness identification algorithm, using simulated and experimental data. The estimates produced by the two algorithms were in agreement for both simulated and experimental data. | lld:pubmed |
| pubmed-article:17946392 | pubmed:language | eng | lld:pubmed |
| pubmed-article:17946392 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17946392 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:17946392 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:17946392 | pubmed:issn | 1557-170X | lld:pubmed |
| pubmed-article:17946392 | pubmed:author | pubmed-author:KearneyRobert... | lld:pubmed |
| pubmed-article:17946392 | pubmed:author | pubmed-author:LudvigDanielD | lld:pubmed |
| pubmed-article:17946392 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:17946392 | pubmed:volume | 1 | lld:pubmed |
| pubmed-article:17946392 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:17946392 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:17946392 | pubmed:pagination | 292-5 | lld:pubmed |
| pubmed-article:17946392 | pubmed:meshHeading | pubmed-meshheading:17946392... | lld:pubmed |
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| pubmed-article:17946392 | pubmed:meshHeading | pubmed-meshheading:17946392... | lld:pubmed |
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| pubmed-article:17946392 | pubmed:meshHeading | pubmed-meshheading:17946392... | lld:pubmed |
| pubmed-article:17946392 | pubmed:year | 2006 | lld:pubmed |
| pubmed-article:17946392 | pubmed:articleTitle | Real-time estimation of intrinsic and reflex stiffness. | lld:pubmed |
| pubmed-article:17946392 | pubmed:affiliation | Dept. of Biomedical Engineering, McGill University, Montreal, QC, Canada. daniel.ludvig@mail.mcgill.ca | lld:pubmed |
| pubmed-article:17946392 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:17946392 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
