| Simultaneous identification of oculomotor subsystems using a hybrid system approach: introducing hybrid extended least squares. | |
| | |
MedLine Citation:
|
PMID: 20172816 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
The oculomotor system plays an essential role in our daily activities. It keeps the images of the world steady on the retina and enables us to track visual targets, or switch between targets. The modeling and identification of this system is key in the diagnosis and treatment of various diseases and lesions. Today, clinical protocols incorporate mathematical techniques to test the functionality of patients' oculomotor modalities through the analysis of the patients' responses to various stimuli. We have developed a new tool for simultaneous identification of the two modes of oculomotor responses, using hybrid extended least squares (HybELS), a novel identification method tailored for hybrid autoregressive moving average with exogenous input models. Previously, modified extended least squares (MELS) was proposed for the identification of vestibular nystagmus dynamics, one mode at a time. It involved searching for segment initial conditions (ICs) to avoid biased results. HybELS identifies both modes simultaneously, and does not require estimation of ICs. Results on experimental vestibuloocular reflex (VOR) data show that HybELS proves to be more robust than MELS with respect to identification of complex models. Furthermore, it is notably less computationally expensive than MELS. In the multi-input case, HybELS outperforms other tested methods, including MELS, both in parameter estimation and prediction error. |
| | |
Authors:
|
Atiyeh Ghoreyshi; Henrietta L Galiana |
Related Documents
:
|
22053456 - An assessment of the checkpoint bioassay concept for full scale wastewater uv reactor v... 11264866 - Computation of a stabilizing set of feedback matrices of a large-scale nonlinear muscul... 17031716 - Performance enhancement for audio-visual speaker identification using dynamic facial mu... 21854626 - Developing a predictive tool for psychological well-being among chinese adolescents in ... 18531226 - Noise impact of wind farms: uncertainties due to wind data reference at 10m. 22034366 - Treenetviz: revealing patterns of networks over tree structures. |
Publication Detail:
|
Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-02-17 |
Journal Detail:
|
Title: IEEE transactions on bio-medical engineering Volume: 57 ISSN: 1558-2531 ISO Abbreviation: IEEE Trans Biomed Eng Publication Date: 2010 May |
Date Detail:
|
Created Date: 2010-07-27 Completed Date: 2010-12-15 Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 0012737 Medline TA: IEEE Trans Biomed Eng Country: United States |
Other Details:
|
Languages: eng Pagination: 1089-98 Citation Subset: IM |
Affiliation:
|
Department of Biomedical Engineering, McGill University, Montreal, QC, Canada. atiyeh.ghoreyshi@mail.mcgill.ca |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Computer Simulation Data Interpretation, Statistical Eye Movements / physiology* Humans Least-Squares Analysis Models, Biological* Motion Perception / physiology* Oculomotor Muscles / physiology* Reflex, Vestibulo-Ocular / physiology* |
| Grant Support | |
ID/Acronym/Agency:
|
//Canadian Institutes of Health Research |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: A flow quantification method using fluid dynamics regularization and MR tagging.
Next Document: Spatio-temporal data fusion for 3D+T image reconstruction in cerebral angiography.