| Elbow torque ellipses: investigation of the mutual influences of rotation, flexion, and extension torques. | |
| | |
MedLine Citation:
|
PMID: 22317051 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
|
Most strength tests are restricted to measuring joint torques only in main directions like flexion or pronation. However, for an advanced strength prediction model, information about maximum possible joint torques in intermediate directions also has to be known. This paper concentrates on obtaining functions for maximum joint torques in arbitrary directions in the elbow. Therefore, isometric joint torque measurements have been conducted with 20 young males applying joint torques in eight different directions in one posture (90 degrees elbow flexion, 0 degrees shoulder flexion, neutral forearm rotation). It turns out that the appearance of the resulting shape can be best predicted using ellipse segments. Furthermore, a standardized ellipse could be obtained for the measurement posture. This helps to predict maximum joint torques in any other direction by knowing only one of the main joint torques. |
| | |
Authors:
|
Fabian Guenzkofer; Heiner Bubb; Klaus Bengler |
Publication Detail:
|
Type: Journal Article |
Journal Detail:
|
Title: Work (Reading, Mass.) Volume: 41 ISSN: 1875-9270 ISO Abbreviation: Work Publication Date: 2012 Jan |
Date Detail:
|
Created Date: 2012-02-09 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 9204382 Medline TA: Work Country: Netherlands |
Other Details:
|
Languages: eng Pagination: 2260-7 Citation Subset: IM |
Affiliation:
|
Institute of Ergonomics, Technische Universität München, Boltzmannstr.15, 85747 Garching, Germany. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Features and limitations of digital human models - a new German guideline.
Next Document: Modeling human-bed interaction: the predictive value of anthropometric models in choosing the correc...