May 2007
Volume 48, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2007
An Optimized Biomechanical Dual Optical Algorithm for Predictive Visual Measurements During Accommodation: Clinical Implications of the Ageing Eye
Author Affiliations & Notes
  • A. Hipsley
    Research, Ace Vision USA Inc., Silver Lake, Ohio
  • L. Camras
    Research, Ace Vision USA Inc., Silver Lake, Ohio
    Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, Nebraska
  • Footnotes
    Commercial Relationships A. Hipsley, ACE Vision Group, P; L. Camras, ACE Vision Group, P.
  • Footnotes
    Support None.
Investigative Ophthalmology & Visual Science May 2007, Vol.48, 976. doi:
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    • Get Citation

      A. Hipsley, L. Camras; An Optimized Biomechanical Dual Optical Algorithm for Predictive Visual Measurements During Accommodation: Clinical Implications of the Ageing Eye. Invest. Ophthalmol. Vis. Sci. 2007;48(13):976.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose:: To provide an interactive dynamic biomechanical dual optical mathematical model demonstrating visual changes during accommodation.

Methods:: A new model utilizing mathematic, biomedical engineering, kinesiology and biophysics applications is proposed. The effects of biomechanical connective tissue stressors on the ocular and optical system were formulated. A model for the correlation of the effects of age-related changes on this system was also analyzed. Specific focus on the ocular organ stress related to scleral structural integrity and the implications of translating / damping variations during static and dynamic phases of accommodation were studied. Parameters assessed were intraocular pressure, internal dynamic and static forces among others. A dual optical power equation was incorporated to determine the visual path variables and resultant visual performance. Biomechanical and optical dysfunction are correlated to ocular stress.

Results:: An innovative dynamic model is proposed for the optimization of visual performance predictability. Mathematical proofs with scientific application are presented introducing new perspectives for the utilization and application of algorithmic models to produce bioptic visual performance outcomes.

Conclusions:: Preliminary results utilizing a biomechanical model combined with a bioptic algorithm shows promise to be a viable model in providing a clinical interactive functional model for the purpose of enhancing predictability for rehabilitation, surgical interventions and functional visual performance outcomes in the ageing patient.

Keywords: aging: visual performance • image processing • ocular motor control 
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