EYE-TRACKING IN DIAGNOSIS OF NEURODEGENERATIVE DISEASE
Abstract
Eye-tracking allows for non-invasive examination and the same eyetrackers are becoming more available, thus its popularity in medical diagnosis and other fields of application is increasing. The paper presents the possibilities for using eye-tracking in the diagnosis neurodegenerative disease such as Parkinson or Alzheimer diseases. The autor describes the exetracking experiment, the model of fixations and saccedes detection, as well as the selected examples of eye-tracking research conducted among patients with neurodegenerative diseases.
Keywords:
eye tracking, biomedical signal processing, computer aided diagnosisReferences
Anderson T.J., MacAskill M.R.: Eye movements in patients with neurodegenerative disorders. Nature Reviews Neurology, 9(2), 2013, 74-85.
Google Scholar
Duchowski, A.: Eye tracking methodology: Theory and practice, Vol. 373, Springer Science & Business Media, 2007.
Google Scholar
Garbutt S., Matlin A., Hellmuth J., Schenk A.K., Johnson J.K., Rosen H., Boxer A.L.: Oculomotor function in frontotemporal lobar degeneration, related disorders and Alzheimer's disease. Brain, 131(5), 2008, 1268-1281.
Google Scholar
Holmqvist K., Nyström M., Andersson R., Dewhurst R., Jarodzka H, Van de Weijer J.: Eye tracking: A comprehensive guide to methods and measures. Oxford University Press, 2011.
Google Scholar
Jadanowski K., Budrewicz S., Koziorowska-Gawron E.: Zaburzenia gałkoruchowe w chorobach ośrodkowego układu nerwowego. Polski Przegląd Neurologiczny, 6(4), 2010, 202-211.
Google Scholar
Komogortsev O.V., Gobert D.V., Jayarathna S., Koh D.H., Gowda S.M.: Standardization of automated analyses of oculomotor fixation and saccadic behaviors. Biomedical Engineering, IEEE Transactions, 57(11), 2010, 2635-2645.
Google Scholar
Komogortsev O.V., Jayarathna, S., Koh D.H., Gowda S.M.: Qualitative and quantitative scoring and evaluation of the eye movement classification algorithms. Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications ACM, 2010, 65-68.
Google Scholar
Komogortsev O.V., Khan J.I.: Kalman filtering in the design of eye-gaze-guided computer interfaces. Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments, Springer Berlin Heidelberg, 2007, 679-689.
Google Scholar
Kuechenmeister C.A., Linton P. H., Mueller T.V., White H.B.: Eye Tracking in Relation to Age, Sex, and Illness. Arch Gen Psychiatry, 34(5), 1977, 578-579.
Google Scholar
Mosimann U.P., Müri R.M., Burn D.J., Felblinger J., O'Brien J.T., McKeith I.G.: Saccadic eye movement changes in Parkinson's disease dementia and dementia with Lewy bodies. Brain, 128(6), 2005, 1267-1276.
Google Scholar
Ober J., Dylak J., Gryncewicz W., Przedpelska-Ober E.: Sakkadometria–nowe możliwości oceny stanu czynnościowego ośrodkowego układu nerwowego. [Saccadometryp-new possibilities of evaluating the state of the central nervous system activity]. Nauka, 4, 2009, 109-135.
Google Scholar
Peltsch, A., Hoffman, A., Armstrong, I., Pari, G., Munoz, D.P.: Saccadic impairments in Huntington’s disease. Experimental brain research, 186(3), 2008, 457-469.
Google Scholar
Salvucci D.D., Goldberg J.H.: Identifying fixations and saccades in eye-tracking protocols. Proceedings of the 2000 symposium on Eye tracking research & applications. ACM, 2000, 71-78.
Google Scholar
Sauter D., Martin B.J., Di Renzo N., Vomscheid C.: Analysis of eye tracking movements using innovations generated by a Kalman filter. Medical and biological Engineering and Computing, 29(1), 1991, 63-69.
Google Scholar
Terao Y., Fukuda H., Yugeta A., Hikosaka O., Nomura Y., Segawa M., Ugawa Y.: Initiation and inhibitory control of saccades with the progression of Parkinson's disease–changes in three major drives converging on the superior colliculus. Neuropsychologia, 49(7), 2011, 1794-1806.
Google Scholar
Verheij S., Muilwijk D., Pel J.J., van der Cammen T.J., Mattace-Raso F.U., van der Steen J.: Visuomotor impairment in early-stage Alzheimer's disease: changes in relative timing of eye and hand movements. Journal of Alzheimer's Disease, 30(1), 2012, 131-143.
Google Scholar
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