Journal article
System identification of the human vestibulo-ocular reflex during head-free tracking
Journal of vestibular research, v 14(6), pp 419-441
2004
PMID: 15735326
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A method was developed to identify the linear, system level dynamics of the horizontal, angular vestibulo-ocular reflex (VOR) as it stabilized vision during head-free tracking of a visual target. Small amplitude, broad spectrum, stochastic torque perturbations were applied to the head while the subject tracked an unpredictable, moving target with active head and eye motions. Stochastic system identification techniques were used to design the torque and target inputs and to conduct the analysis such that the linear dynamics of the VOR, independently of the visual system's influence on eye motions, were determined. The linear analysis was limited to evaluating VOR dynamics from approximately 0.5 to 4.5 Hz. Nonlinearities in the head-neck system affected the low frequency response of the head to the torque perturbations, and the eye velocity sequence was affected by nonlinearities and degraded by noise at high frequencies. The VOR's gain was near 1.0 between about 0.5 and 2.5 Hz, and then decreased steadily to 0.85 as the frequency increased towards 4.0 Hz. The VOR phase angle was also frequency dependent and corresponded to VOR eye motions lagging the head's disturbance motion by less than 10 ms at frequencies greater than 1.0 Hz.
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Details
- Title
- System identification of the human vestibulo-ocular reflex during head-free tracking
- Creators
- James L Tangorra - Bioinstrumentation Laboratory, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. jtangor@mit.eduLynette A JonesIan W Hunter
- Publication Details
- Journal of vestibular research, v 14(6), pp 419-441
- Publisher
- Netherlands
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000227464100002
- Scopus ID
- 2-s2.0-15244357548
- Other Identifier
- 991014877941404721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Neurosciences
- Otorhinolaryngology