Avoiding Spurious Submovement Decompositions Ii: a Scattershot Algorithm.
From: Cybernetic Systems Integration Department, Intelligent Systems and Robotics Center, Sandia National Laboratories, Albuquerque, NM, USA. brrohre@sandia.gov
Biological cybernetics
- Publish Date: May 2006
- ISSN: 0340-1200
- Volume: 94
- Issue: 5
- Pages: 409-14
- Medium: Print
- Language: English
- Citation (JAMA): Rohrer Brandon, Hogan Neville, et al. Avoiding Spurious Submovement Decompositions Ii: a Scattershot Algorithm.. May 2006;94:409-14
Abstract
Evidence for the existence of discrete submovements underlying continuous human movement has motivated many attempts to “extract” them. Although they produce visually convincing results, all of the methodologies that have been employed are prone to produce spurious decompositions. In previous work, a branch-and-bound algorithm for submovement extraction, capable of global nonlinear minimization, and hence, capable of avoiding spurious decompositions, was presented [Rohrer and Hogan (Biol Cybern 39:190-199, 2003)]. Here, we present a scattershot-type global nonlinear minimization algorithm that requires approximately four orders of magnitude less time to compute. A sensitivity analysis reveals that the scattershot algorithm can reliably detect changes in submovement parameters over time, e.g., over the course of neuromotor recovery.
Mesh Headings (Keywords): Algorithms, Biomechanics, Humans, Models, Neurological, Models, Theoretical, Motor Activity, Nonlinear Dynamics, Psychomotor Performance, Sensitivity and Specificity
Check for Full Text / PubMed Unique Identifier (PMID): 16570179
This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.
Linked medical terms appearing on this page are added by Healia to help readers find more information and are not part of the original PubMed document.
The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.