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Journal articles on the topic 'Eye assessment'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Wang, Yan, Guangtao Zhai, Shaoqian Zhou, Sichao Chen, Xiongkuo Min, Zhongpai Gao, and Menghan Hu. "Eye Fatigue Assessment Using Unobtrusive Eye Tracker." IEEE Access 6 (2018): 55948–62. http://dx.doi.org/10.1109/access.2018.2869624.

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2

Rowe, Fiona J., Lauren R. Hepworth, and Jamie J. Kirkham. "Development of core outcome sets for vision screening and assessment in stroke: a Delphi and consensus study." BMJ Open 9, no. 9 (September 2019): e029578. http://dx.doi.org/10.1136/bmjopen-2019-029578.

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ObjectivesVisual impairment following stroke is common with a reported incidence of visual impairment in 60% of stroke survivors. Screening for visual impairment is neither routine nor standardised. This results in a health inequality where some stroke survivors receive comprehensive vision assessment to identify any existent visual problems while others receive no vision assessment leaving them with unmet needs from undiagnosed visual problems. The aim of this study was to define two core outcome sets (COS), one for vision screening and one for full visual assessment of stroke survivors.DesignA list of potentially relevant visual assessments was created from a review of the literature. The consensus process consisted of an online 3-round Delphi survey followed by a consensus meeting of the key stakeholders.ParticipantsStakeholders included orthoptists, occupational therapists, ophthalmologists, stroke survivors and COS users such as researchers, journal editors and guideline developers.SettingUniversity.Outcome measuresCOS.ResultsFollowing the consensus process we recommend the following nine assessments for vision screening: case history, clinical observations of visual signs, visual acuity, eye alignment position, eye movement assessment, visual field assessment, visual neglect assessment, functional vision assessment and reading assessment. We recommend the following 11 assessments for full vision assessment: case history, observations, visual acuity, eye alignment position, eye movement assessment, binocular vision assessment, eye position measurement, visual field assessment, visual neglect assessment, functional vision assessment, reading assessment and quality of life questionnaires.ConclusionsCOS are defined for vision screening and full vision assessment for stroke survivors. There is potential for their use in reducing heterogeneity in routine clinical practice and for improving standardisation and accuracy of vision assessment. Future research is required to evaluate the use of these COS and for further exploration of core outcome measures.

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3

Weatherill, J. R. "Visual acuity assessment." Eye 7, no. 1 (January 1993): 26–28. http://dx.doi.org/10.1038/eye.1993.6.

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4

Gamito, Pedro, Jorge Oliveira, Diogo Morais, Matthew Pavlovic, Olivia Smyth, Inês Maia, Tiago Gomes, and Pedro J. Rosa. "Eye Movement Analysis and Cognitive Assessment." Methods of Information in Medicine 56, no. 02 (2017): 112–16. http://dx.doi.org/10.3414/me16-02-0006.

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SummaryBackground: An adequate behavioral response depends on attentional and mnesic processes. When these basic cognitive functions are impaired, the use of non-immersive Virtual Reality Applications (VRAs) can be a reliable technique for assessing the level of impairment. However, most non-immersive VRAs use indirect measures to make inferences about visual attention and mnesic processes (e.g., time to task completion, error rate).Objectives: To examine whether the eye movement analysis through eye tracking (ET) can be a reliable method to probe more effectively where and how attention is deployed and how it is linked with visual working memory during comparative visual search tasks (CVSTs) in non-immersive VRAs.Methods: The eye movements of 50 healthy participants were continuously recorded while CVSTs, selected from a set of cognitive tasks in the Systemic Lisbon Battery (SLB). Then a VRA designed to assess of cognitive impairments were randomly presented.Results: The total fixation duration, the number of visits in the areas of interest and in the interstimulus space, along with the total execution time was significantly different as a function of the Mini Mental State Examination (MMSE) scores.Conclusions: The present study demonstrates that CVSTs in SLB, when combined with ET, can be a reliable and unobtrusive method for assessing cognitive abilities in healthy individuals, opening it to potential use in clinical samples.

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5

BROWN, M. "Utility assessment and dry eye disease." Ophthalmology 111, no. 4 (April 2004): 852–53. http://dx.doi.org/10.1016/j.ophtha.2004.01.017.

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6

Rehani, M. M. "Eye dose assessment and management: overview." Radiation Protection Dosimetry 165, no. 1-4 (March 25, 2015): 276–78. http://dx.doi.org/10.1093/rpd/ncv048.

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7

Yun Lee, Y., T. Chen, and T. L. Alvarez. "Quantitative assessment of divergence eye movements." Journal of Vision 8, no. 12 (September 1, 2008): 5. http://dx.doi.org/10.1167/8.12.5.

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8

Morter, M. W. "Self-assessment on common eye conditions." Veterinary Record 169, no. 10 (September 2, 2011): 254. http://dx.doi.org/10.1136/vr.d5535.

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9

KJAERGAARD, SØREN. "Assessment of Eye Irritation in Humans." Annals of the New York Academy of Sciences 641, no. 1 Sources of In (April 1992): 187–98. http://dx.doi.org/10.1111/j.1749-6632.1992.tb16543.x.

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10

Tackley, R. M., P. J. McKenzie, A. J. Bron, and T. Leonard. "Assessment of bleeding in eye surgery." British Journal of Ophthalmology 69, no. 7 (July 1, 1985): 491–92. http://dx.doi.org/10.1136/bjo.69.7.491.

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11

YOSHIHARA, Keisuke, Tomoya SAKAI, Ippei KATO, Shinichi TANAKA, Kanako HARADA, Yasuo NODA, Takashi UETA, Fumihito ARAI, Naohiko SUGITA, and Mamoru MITSUISHI. "1P1-E04 Assessment of Eye Surgical Robotic System using Sensorized Eye Model." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2015 (2015): _1P1—E04_1—_1P1—E04_3. http://dx.doi.org/10.1299/jsmermd.2015._1p1-e04_1.

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12

Spaeth, George L., and Rohit Varma. "Assessment of the glaucomatous patient." Eye 1, no. 1 (January 1987): 29–39. http://dx.doi.org/10.1038/eye.1987.4.

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13

Brown, Nicholas A. P., Anthony J. Bron, William Ayliffe, John Sparrow, and Adrian R. Hill. "The objective assessment of cataract." Eye 1, no. 2 (March 1987): 234–46. http://dx.doi.org/10.1038/eye.1987.43.

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14

Buckley, R. J. "Assessment and management of dry eye disease." Eye 32, no. 2 (January 5, 2018): 200–203. http://dx.doi.org/10.1038/eye.2017.289.

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15

TAKIGAWA, Hiroshi, Sachiko YAMAZAKI, and Hiroshi SAKAMOTO. "Work-physiological assessment of eye-tracking task." Sangyo Igaku 30, no. 5 (1988): 355–61. http://dx.doi.org/10.1539/joh1959.30.355.

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16

Kobayashi, Noriko, Toshihiro Usui, Seiichi Arai, and Tadahiko Fukuda. "Analysis of Eye Movement in Skin Assessment." Journal of Society of Cosmetic Chemists of Japan 36, no. 1 (2002): 36–44. http://dx.doi.org/10.5107/sccj.36.36.

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17

Broughton, N., D. Fawkes, A. Brown, and D. Paul. "The‘Magic Eye®’method of rhythm assessment." Anaesthesia 67, no. 10 (September 5, 2012): 1170–71. http://dx.doi.org/10.1111/j.1365-2044.2012.07319.x.

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18

Dua, Harminder S., Darren Shu Jeng Ting, Ahmed Al Saadi, and Dalia G. Said. "Chemical eye injury: pathophysiology, assessment and management." Eye 34, no. 11 (June 22, 2020): 2001–19. http://dx.doi.org/10.1038/s41433-020-1026-6.

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19

Adhikari, Sam, and David E. Stark. "Video-based eye tracking for neuropsychiatric assessment." Annals of the New York Academy of Sciences 1387, no. 1 (January 2017): 145–52. http://dx.doi.org/10.1111/nyas.13305.

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20

Schroeder, Knut. "10-minute clinical assessment: Assessing eye injuries." InnovAiT: Education and inspiration for general practice 10, no. 6 (March 28, 2017): 368–69. http://dx.doi.org/10.1177/1755738017698999.

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21

Erdur, Sevil Karaman, Rukiye Aydin, Ali Balevi, Mustafa Ozsutcu, and Mehmet Selim Kocabora. "Dry Eye Assessment in Patients With Vitiligo." Cornea 37, no. 4 (April 2018): 412–15. http://dx.doi.org/10.1097/ico.0000000000001469.

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22

Ströher, Gylles Ricardo, Cláuda Regina de Andrade, and Gisely Luzia Ströher. "Assessment of thermal models for human eye." Heat and Mass Transfer 56, no. 7 (March 2, 2020): 2135–43. http://dx.doi.org/10.1007/s00231-020-02845-6.

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23

Fielding, W. J. "Damage assessment by eye: Some Caribbean observations." Field Crops Research 30, no. 1-2 (July 1992): 183–86. http://dx.doi.org/10.1016/0378-4290(92)90067-j.

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24

Puzienė, Viktorija, and Darius Jegelevičius. "QUALITY ASSESSMENT OF OPTIC NERVE DISK IMAGES." Mokslas - Lietuvos ateitis 2, no. 1 (February 28, 2010): 5–8. http://dx.doi.org/10.3846/mla.2010.001.

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Analysis of optic nerve disk is done for different categories of images. Optic nerve disk images of the same eye and of different eyes of good and bad quality are investigated using spectral, histogram, edge parameters. Results show that mean power spectrum is the best parameter for separating images into quality classes in the same eye image case and mean power spectrum of high frequency is the best parameter for separating images into quality classes in the different eye image case.

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25

Rathod, D., S. Pickering, and M. W. Austin. "Virtual assessment and glaucoma shared care." Eye 24, no. 6 (November 13, 2009): 1121. http://dx.doi.org/10.1038/eye.2009.273.

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26

Kulkarni, Shilpa. "Assessment of the change in the severity of dry eye diseases after prolong reading." Asian Pacific Journal of Health Sciences 6, no. 1 (March 2019): 233–36. http://dx.doi.org/10.21276/apjhs.2019.6.1.31.

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27

Rosengren, William, Marcus Nyström, Björn Hammar, Markus Rahne, Linnea Sjödahl, and Martin Stridh. "Modeling and quality assessment of nystagmus eye movements recorded using an eye-tracker." Behavior Research Methods 52, no. 4 (April 20, 2020): 1729–43. http://dx.doi.org/10.3758/s13428-020-01346-y.

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28

Mitchell, G. Lynn, Kelly K. Nichols, Barbara Caffery, Robin Chalmers, and Carolyn G. Begley. "PATIENT-REPORTED DRY EYE VERSUS DOCTOR-DIAGNOSED DRY EYE: THE ASSESSMENT OF SYMPTOMS." Cornea 19, Supplement 2 (November 2000): S106. http://dx.doi.org/10.1097/00003226-200011002-00119.

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29

Bresnick, G. H. "Assessment of the eye at risk of neovascularisation." Eye 5, no. 2 (March 1991): 198–213. http://dx.doi.org/10.1038/eye.1991.35.

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30

McNamee, Pauline, Nathalie Alépée, Els Adriaens, Daniel Bagley, Bertrand Desprez, Jalila Hibatallah, Karsten Mewes, Uwe Pfannenbecker, and Àlvar Sala. "Cosmetics Europe eye programme: Relevance to integrated approaches on testing and assessment for serious eye damage/eye irritation." Toxicology Letters 280 (October 2017): S155—S156. http://dx.doi.org/10.1016/j.toxlet.2017.07.436.

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31

Pineles, S. L., M. Y. Chang, E. L. Oltra, M. S. Pihlblad, J. P. Davila-Gonzalez, T. C. Sauer, and F. G. Velez. "Anterior segment ischemia: etiology, assessment, and management." Eye 32, no. 2 (November 17, 2017): 173–78. http://dx.doi.org/10.1038/eye.2017.248.

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32

Baazeem, Ibtehal, Hend Al-Khalifa, and Abdulmalik Al-Salman. "Cognitively Driven Arabic Text Readability Assessment Using Eye-Tracking." Applied Sciences 11, no. 18 (September 16, 2021): 8607. http://dx.doi.org/10.3390/app11188607.

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Using physiological data helps to identify the cognitive processing in the human brain. One method of obtaining these behavioral signals is by using eye-tracking technology. Previous cognitive psychology literature shows that readable and difficult-to-read texts are associated with certain eye movement patterns, which has recently encouraged researchers to use these patterns for readability assessment tasks. However, although it seems promising, this research direction has not been explored adequately, particularly for Arabic. The Arabic language is defined by its own rules and has its own characteristics and challenges. There is still a clear gap in determining the potential of using eye-tracking measures to improve Arabic text. Motivated by this, we present a pilot study to explore the extent to which eye-tracking measures enhance Arabic text readability. We collected the eye movements of 41 participants while reading Arabic texts to provide real-time processing of the text; these data were further analyzed and used to build several readability prediction models using different regression algorithms. The findings show an improvement in the readability prediction task, which requires further investigation. To the best of our knowledge, this work is the first study to explore the relationship between Arabic readability and eye movement patterns.

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33

Kartubi, Nazaroh, Assef Firnando Firmansyah, Pardi Pardi, and Caecilia Tuti Budiantari. "Preparation for Eye Lens Dose Assessment at CSTRM-NNEA." SciMedicine Journal 2, no. 1 (March 1, 2020): 30–37. http://dx.doi.org/10.28991/scimedj-2020-0201-5.

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Because of the negative impact of radiation on the eye lens and the changes recommended by the International Commission on Radiological Protection (ICRP) 103 (2007) from 150 to 20 mSv (2 rem, the Regulation of BAPETEN Head No. 4 (2013) article 56 give the instruction that Monitoring of eye lens dose should be implemented starting from March 13, 2016, more intensive around the eye lens. To prepare eye lens dose assessment, The Center for Safety Technology and Radiation Metrology (CSTRM) - NNEA study the response of TLD-700H against the X-ray: N (80), N (100) and N (120) energies (usually used in the interventional radiology). Goals and objectives of this study were to obtain the response/calibrated TLD-700H which is traceable to the international system (SI) and TLD-700H can be used for an eye lens dose assessment in Indonesia. Twenty-one TLDs were irradiated with seven dosage variations (0.1; 0.5; 1; 5; 10; 15; 20) mSv at the Secondary Standard Dosimetry Laboratory (SSDL) - Jakarta. After being stored for 24 hours, the TLD were read by using TLD-Reader. The Dosimeter Response, R against doses of X-ray were: R(N80) = 34.595x + 0.1262; R² = 0.9986; R(N100) = 24.484x + 1.1357; R² = 0.9993; and R(N120) = 27.908x - 5.1065; R² = 0.9971. R: correlation coefficient, x: doses; These calibration responses can be used for eye lens dose assessment in Indonesia.

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34

Kulkarni, Praveen, and Prashant Vishwanath. "Health technology assessment: A bird′s eye view." International Journal of Health & Allied Sciences 4, no. 1 (2015): 1. http://dx.doi.org/10.4103/2278-344x.149191.

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35

SCHIFFMAN, R. "Utility assessment and dry eye disease: author reply." Ophthalmology 111, no. 4 (April 2004): 853. http://dx.doi.org/10.1016/j.ophtha.2004.01.018.

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36

Schiffman, Rhett M., John G. Walt, Gordon Jacobsen, John J. Doyle, Gary Lebovics, and Walton Sumner. "Utility assessment among patients with dry eye disease." Ophthalmology 110, no. 7 (July 2003): 1412–19. http://dx.doi.org/10.1016/s0161-6420(03)00462-7.

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37

Brown, Gary C. "Utility Assessment Among Patients With Dry Eye Disease." Evidence-Based Eye Care 5, no. 1 (January 2004): 44–45. http://dx.doi.org/10.1097/00132578-200401000-00020.

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38

Sanchez, Roberto, Anibal de Paul, and Luis Issolio. "In vivo transmission assessment of the human eye." Journal of Vision 17, no. 7 (June 1, 2017): 46. http://dx.doi.org/10.1167/17.7.46.

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39

Snegireva, Nadja, Jon Patricios, and Karen Welman. "Eye Tracking as a Sports Concussion Assessment Tool." Medicine & Science in Sports & Exercise 49, no. 5S (May 2017): 545. http://dx.doi.org/10.1249/01.mss.0000518411.52246.0c.

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40

Marmamula, Srinivas, GullapalliN Rao, and JillE Keeffe. "Rapid assessment methods in eye care: An overview." Indian Journal of Ophthalmology 60, no. 5 (2012): 416. http://dx.doi.org/10.4103/0301-4738.100539.

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41

Kurz-Levin, Malaika M. "Clinical Variations in Assessment of Bull's-eye Maculopathy." Archives of Ophthalmology 120, no. 5 (May 1, 2002): 567. http://dx.doi.org/10.1001/archopht.120.5.567.

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42

Burroughs, John, Richard Anderson, James Patrinely, David Weinberg, John McCann, and Tristan McMullan. "Preoperative Assessment of the Eye and Periocular Region." Seminars in Plastic Surgery 21, no. 1 (February 2007): 005–17. http://dx.doi.org/10.1055/s-2007-967742.

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43

Calvo, Manuel G., and Pedro Avero. "Eye movement assessment of emotional processing in anxiety." Emotion 2, no. 2 (June 2002): 105–17. http://dx.doi.org/10.1037/1528-3542.2.2.105.

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44

Willeford, Kevin T., Kenneth J. Ciuffreda, and George Zikos. "Objective Assessment of Eye Dominance Using the VEP." Eye & Contact Lens: Science & Clinical Practice 42, no. 2 (March 2016): 129–34. http://dx.doi.org/10.1097/icl.0000000000000149.

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45

Karra, Efthimia, Ahmed Yousseif, Geoffrey E. Rose, and Stephanie E. Baldeweg. "Clinical assessment of patients with thyroid eye disease." British Journal of Hospital Medicine 77, no. 1 (January 2016): C2—C5. http://dx.doi.org/10.12968/hmed.2016.77.1.c2.

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46

Bonham, Aaron J., and Claudia González-Vallejo. "Assessment of calibration for reconstructed eye-witness memories." Acta Psychologica 131, no. 1 (May 2009): 34–52. http://dx.doi.org/10.1016/j.actpsy.2009.02.008.

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47

Yaramothu, Chang, and Tara Alvarez. "Objective Quantitative Concussion Assessment Through Vergence Eye Movements." Archives of Physical Medicine and Rehabilitation 99, no. 11 (November 2018): e143-e144. http://dx.doi.org/10.1016/j.apmr.2018.08.049.

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48

Starr, Christopher E., Reza Dana, Stephen C. Pflugfelder, Edward J. Holland, Steven Zhang, Desiree Owen, and Kim Brazzell. "Dry eye disease flares: A rapid evidence assessment." Ocular Surface 22 (October 2021): 51–59. http://dx.doi.org/10.1016/j.jtos.2021.07.001.

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49

Walkom, S. F., and D. J. Brown. "Impact of liveweight, fat and muscle sire breeding values on ewe reproduction is minimal but variable across Australian grazing systems." Animal Production Science 57, no. 9 (2017): 1952. http://dx.doi.org/10.1071/an15574.

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Australian sheep producers have the potential to improve reproductive rates through optimising ewe body condition across the production cycle. Managing ewe body condition can become costly when supplementary feeding is required due to poor pasture growth or rainfall and by using appropriate genetics, producers can theoretically reduce the flock’s dependency on supplementary feed and improve reproductive rates. Reproductive records from the Information Nucleus Flock and Sheep Genetics Merino and maternal breed datasets were analysed to examine the influence of sire breeding values for liveweight (post-weaning, yearling and adult assessments), fat and eye muscle depths (post-weaning and yearling assessments) and number of lambs weaned on reproductive performance (fertility, litter size and number of lambs born) across a variety of production environments. To determine the impact of environmental conditions on the relationship between weight, ultrasound body composition, and reproduction traits the daughters’ adjusted reproductive performances were regressed on the sire’s breeding value across flocks, within flocks and within flock × year. Irrespective of age at assessment, sire breeding values for liveweight, fat and eye muscle depths had very little association with the reproductive performance of their daughters, on average. The regressions of reproduction on weight, and fat and eye muscle depth traits varied across flocks from unfavourable to favourable estimates. The very small overall impact of weight, and fat and eye muscle depth traits, on average suggests that using sire breeding values for number of lambs weaned, which had a large impact on reproduction, will provide the most viable method to genetically improve reproductive performance within the production system in question.

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50

&NA;. "RNs and CEOs donʼt see eye to eye." Nursing 37, no. 9 (September 2007): 35. http://dx.doi.org/10.1097/01.nurse.0000287720.47669.66.

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