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Output details

15 - General Engineering

University of Hull

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Output 40 of 55 in the submission
Article title

Predicting muscle activation patterns from motion and anatomy: modelling the skull of Sphenodon (Diapsida: Rhynchocephalia)

Type
D - Journal article
Title of journal
Journal Of The Royal Society Interface
Article number
-
Volume number
7
Issue number
42
First page of article
153
ISSN of journal
1742-5662
Year of publication
2010
URL
-
Number of additional authors
5
Additional information

This paper describes the development of a highly novel method for predicting muscle activation in musculoskeletal modelling, termed DGO (dynamic geometric optimization). The BBSRC-funded research revealed the detailed relationship between muscle anatomy and activation profile during normal jaw function. Validation against experimental data confirmed that the activation predictions were reasonable and the motion of the mandible followed that observed in vivo. The method developed here has influenced international research (e.g. http://palaeo-electronica.org/content/2013/389-allosaurus-feeding) as well as being used in many subsequent studies leading to a number of other high impact publications.

Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-