Exploring eye movements in patients with glaucoma when viewing a driving scene.

David P Crabb, Nicholas D Smith, Franziska G Rauscher, Catharine M Chisholm, John L Barbur, David F Edgar, David F Garway-Heath
Author Information
  1. David P Crabb: Department of Optometry and Visual Science, City University London, London, United Kingdom. David.Crabb.1@city.ac.uk

Abstract

BACKGROUND: Glaucoma is a progressive eye disease and a leading cause of visual disability. Automated assessment of the visual field determines the different stages in the disease process: it would be desirable to link these measurements taken in the clinic with patient's actual function, or establish if patients compensate for their restricted field of view when performing everyday tasks. Hence, this study investigated eye movements in glaucomatous patients when viewing driving scenes in a hazard perception test (HPT).
METHODOLOGY/PRINCIPAL FINDINGS: The HPT is a component of the UK driving licence test consisting of a series of short film clips of various traffic scenes viewed from the driver's perspective each containing hazardous situations that require the camera car to change direction or slow down. Data from nine glaucomatous patients with binocular visual field defects and ten age-matched control subjects were considered (all experienced drivers). Each subject viewed 26 different films with eye movements simultaneously monitored by an eye tracker. Computer software was purpose written to pre-process the data, co-register it to the film clips and to quantify eye movements and point-of-regard (using a dynamic bivariate contour ellipse analysis). On average, and across all HPT films, patients exhibited different eye movement characteristics to controls making, for example, significantly more saccades (P<0.001; 95% confidence interval for mean increase: 9.2 to 22.4%). Whilst the average region of 'point-of-regard' of the patients did not differ significantly from the controls, there were revealing cases where patients failed to see a hazard in relation to their binocular visual field defect.
CONCLUSIONS/SIGNIFICANCE: Characteristics of eye movement patterns in patients with bilateral glaucoma can differ significantly from age-matched controls when viewing a traffic scene. Further studies of eye movements made by glaucomatous patients could provide useful information about the definition of the visual field component required for fitness to drive.

References

  1. Br J Ophthalmol. 2004 Sep;88(9):1191-6 [PMID: 15317714]
  2. Psychol Sci. 2008 Oct;19(10):998-1006 [PMID: 19000210]
  3. Arch Ophthalmol. 1999 Apr;117(4):450-4 [PMID: 10206571]
  4. Optom Vis Sci. 2006 Aug;83(8):550-8 [PMID: 16909081]
  5. BMJ. 2000 Oct 21;321(7267):972-3 [PMID: 11039940]
  6. Invest Ophthalmol Vis Sci. 2006 Jul;47(7):2885-8 [PMID: 16799029]
  7. Invest Ophthalmol Vis Sci. 2008 Jul;49(7):3035-41 [PMID: 18326696]
  8. Gend Med. 2006 Jun;3(2):110-23 [PMID: 16860270]
  9. Optom Vis Sci. 2005 Jan;82(1):27-35 [PMID: 15630401]
  10. Optom Vis Sci. 2002 Nov;79(11):735-9 [PMID: 12462542]
  11. Percept Psychophys. 1997 Apr;59(3):323-46 [PMID: 9136264]
  12. Optom Vis Sci. 2001 Sep;78(9):667-75 [PMID: 11587201]
  13. Invest Ophthalmol Vis Sci. 2009 Jan;50(1):203-13 [PMID: 18806294]
  14. J Glaucoma. 2003 Apr;12(2):139-50 [PMID: 12671469]
  15. Nature. 1994 Jun 30;369(6483):742-4 [PMID: 8008066]
  16. Br J Ophthalmol. 2008 Feb;92(2):225-30 [PMID: 17962396]
  17. Ophthalmic Physiol Opt. 2005 Jul;25(4):346-56 [PMID: 15953120]
  18. Clin Exp Ophthalmol. 2003 Dec;31(6):482-6 [PMID: 14641154]
  19. Arch Ophthalmol. 1983 Mar;101(3):371-5 [PMID: 6830485]
  20. Vision Res. 2002 Mar;42(5):669-77 [PMID: 11853783]
  21. Ergonomics. 2003 May 15;46(6):629-46 [PMID: 12745692]
  22. Br Med Bull. 2008;87:163-74 [PMID: 18718902]
  23. Can J Ophthalmol. 2006 Jun;41(3):333-9 [PMID: 16767189]
  24. Ophthalmology. 2004 Dec;111(12):2265-70 [PMID: 15582084]
  25. J Glaucoma. 2005 Apr;14(2):145-50 [PMID: 15741817]
  26. Invest Ophthalmol Vis Sci. 2006 Dec;47(12):5295-302 [PMID: 17122116]
  27. Invest Ophthalmol Vis Sci. 2002 Apr;43(4):1059-67 [PMID: 11923247]
  28. Ophthalmic Epidemiol. 2006 Feb;13(1):67-80 [PMID: 16510349]
  29. Graefes Arch Clin Exp Ophthalmol. 2005 Mar;243(3):210-6 [PMID: 15806374]
  30. Ophthalmology. 2007 Dec;114(12):2232-7 [PMID: 17980433]
  31. Invest Ophthalmol Vis Sci. 2007 Mar;48(3):1149-55 [PMID: 17325158]
  32. J Neurosci Methods. 2002 Mar 15;114(2):185-95 [PMID: 11856570]
  33. Invest Ophthalmol Vis Sci. 2004 Nov;45(11):3934-9 [PMID: 15505039]
  34. Comput Biol Med. 2007 Jul;37(7):957-64 [PMID: 17010963]
  35. Invest Ophthalmol Vis Sci. 2008 Jun;49(6):2449-55 [PMID: 18515585]
  36. Eye (Lond). 2007 May;21(5):604-8 [PMID: 16485015]
  37. Vision Res. 2006 Feb;46(4):590-7 [PMID: 16005930]
  38. Optom Vis Sci. 2008 Jan;85(1):26-36 [PMID: 18174838]

MeSH Term

Aged
Algorithms
Automobile Driving
Case-Control Studies
Eye Movements
Glaucoma
Humans
Middle Aged
Pattern Recognition, Visual
Perception
Saccades
Safety
Software

Word Cloud

Created with Highcharts 10.0.0eyepatientsvisualfieldmovementsdifferentglaucomatousviewingdrivingHPTcontrolssignificantlydiseasesceneshazardtestcomponentfilmclipstrafficviewedbinocularage-matchedfilmsaveragemovementdifferglaucomasceneBACKGROUND:GlaucomaprogressiveleadingcausedisabilityAutomatedassessmentdeterminesstagesprocess:desirablelinkmeasurementstakenclinicpatient'sactualfunctionestablishcompensaterestrictedviewperformingeverydaytasksHencestudyinvestigatedperceptionMETHODOLOGY/PRINCIPALFINDINGS:UKlicenceconsistingseriesshortvariousdriver'sperspectivecontaininghazardoussituationsrequirecameracarchangedirectionslowDataninedefectstencontrolsubjectsconsideredexperienceddriverssubject26simultaneouslymonitoredtrackerComputersoftwarepurposewrittenpre-processdataco-registerquantifypoint-of-regardusingdynamicbivariatecontourellipseanalysisacrossexhibitedcharacteristicsmakingexamplesaccadesP<000195%confidenceintervalmeanincrease:92224%Whilstregion'point-of-regard'revealingcasesfailedseerelationdefectCONCLUSIONS/SIGNIFICANCE:CharacteristicspatternsbilateralcanstudiesmadeprovideusefulinformationdefinitionrequiredfitnessdriveExploring

Similar Articles

Cited By