Video-oculography

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Video-oculography examination in progress VIDEO-OCULOGRAFIA.jpg
Video-oculography examination in progress

Video-oculography (VOG) is a non-invasive, video-based method of measuring horizontal, vertical and torsional position components of the movements of both eyes (eye tracking) using a head-mounted mask that is equipped with small cameras. [1] VOG is usually employed for medical purposes.

Contents

Technology

The measurement of the horizontal and vertical components is well established technology which uses pupil tracking and/or corneal reflection tracking and has been widely applied, for example for tracking eye movements in reading. In contrast, the measurement of the torsional component (cyclorotation) is usually considered a computationally more difficult task. Approaches to solving this problem include, among others, polar cross correlation methods and iris pattern matching/tracking. [2] [3]

In animal studies, VOG has been used in combination with fluorescent marker arrays affixed to the eye, and it has been proposed that such an array could be embedded into a scleral lens for humans. [4]

Use

VOG techniques have been put to use in a wide field of scientific research related to visual development and cognitive science as well as to pathologies of the eyes and of the visual system.[ citation needed ]

For example, miniaturized ocular-videography systems are used to analyze eye movements in freely moving rodents. [5]

VOG can be used in eye examinations for quantitative assessments of ocular motility, binocular vision, vergence, cyclovergence, stereoscopy and disorders related to eye positioning such as nystagmus and strabismus.[ citation needed ]

It has also been proposed for assessing linear and torsional eye movements in vestibular patients [6] [7] and for early stroke recognition. [6] [8]

References

  1. Gambhir, Akshat; Boppaiah, K. s; Subbaiah, M. Shruthi; M, Pooja; P, Kiran (2015-06-06). "Video Oculographic System using Real-Time Video Processing". International Journal of Computer Applications. 119 (22): 15–18.
  2. Kai Schreiber; T. Haslwanter (April 2004). "Improving calibration of 3-D video oculography systems". IEEE Transactions on Biomedical Engineering. 51 (4): 676–679. doi:10.1109/TBME.2003.821025. PMID   15072222. S2CID   1536160.
  3. See also the brief review on p. 142 of: Americo A. Migliaccio; Hamish G. McDougall; Lloyd B. Minor; Charles C. Della Santina (2005). "Inexpensive system for real-time 3-dimensional video-oculography using a fluorescent marker array". Journal of Neuroscience Methods. 143 (2): 141–150. doi:10.1016/j.jneumeth.2004.09.024. PMC   2767269 . PMID   15814146.
  4. Americo A. Migliaccio; Hamish G. McDougall; Lloyd B. Minor; Charles C. Della Santina (2005). "Inexpensive system for real-time 3-dimensional video-oculography using a fluorescent marker array". Journal of Neuroscience Methods. 143 (2): 141–150. doi:10.1016/j.jneumeth.2004.09.024. PMC   2767269 . PMID   15814146.
  5. Damian J. Wallace; David S. Greenberg; Juergen Sawinski; Stefanie Rulla; Giuseppe Notaro; Jason N. D. Kerr (6 June 2013). "Rats maintain an overhead binocular field at the expense of constant fusion". Nature. 498 (498): 65–69. doi:10.1038/nature12153. PMID   23708965. S2CID   4337069.
  6. 1 2 Newman-Toker D.E.; Saber Tehrani A.S.; Mantokoudis G.; Pula J.H.; Guede C.I.; Kerber K.A.; Blitz A.; Ying S.H.; Hsieh Y.H.; Rothman R.E.; Hanley D.F.; Zee D.S.; Kattah J.C. (April 2013). "Quantitative video-oculography to help diagnose stroke in acute vertigo and dizziness: toward an ECG for the eyes". Stroke. 44 (4): 1158–1161. doi: 10.1161/STROKEAHA.111.000033 . PMC   8448203 . PMID   23463752.
  7. Richard E. Gans (May 2001). "Video-oculography: A new diagnostic technology for vestibular patients". The Hearing Journal. 54 (5): 40. doi: 10.1097/01.HJ.0000294840.79013.39 . S2CID   76364474.
  8. Hopkins Stroke Detector Uses Video-Oculography for Faster Diagnosis Archived 2021-05-06 at the Wayback Machine , medgadget.com, 7 March 2013 (downloaded 11 July 2013)