Literature DB >> 20934943

An automated Hirschberg test for infants.

Dmitri Model1, Moshe Eizenman.   

Abstract

A novel automated method to measure eye misalignment in infants is presented. The method uses estimates of the Hirschberg ratio (HR) and angle Kappa (the angle between the visual and optical axis) for each infant to calculate the angle of eye misalignment. The HR and angle Kappa are estimated automatically from measurements of the direction of the optical axis and the coordinates of the center of the entrance pupil and corneal reflexes in each eye when infants look at a set of images that are presented sequentially on a computer monitor. The HR is determined by the slope of the line that describes the direction of the optical axis as a function of the distance between the center of the entrance pupil and the corneal reflexes. The peak of the distribution of possible angles Kappa during the image presentation determines the value of angle Kappa. Experiments with five infants showed that the 95% limits of agreement between repeated measurements of angle Kappa are ± 0.61 (°). The maximum error in the estimation of eye alignment in orthotropic infants was 0.9 (°) with 95% limits of agreement between repeated measurements of 0.75 (°).

Entities:  

Mesh:

Year:  2010        PMID: 20934943     DOI: 10.1109/TBME.2010.2085000

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  9 in total

Review 1.  Applications of augmented reality in ophthalmology [Invited].

Authors:  Güneş Aydındoğan; Koray Kavaklı; Afsun Şahin; Pablo Artal; Hakan Ürey
Journal:  Biomed Opt Express       Date:  2020-12-21       Impact factor: 3.732

2.  An Optokinetic Nystagmus Detection Method for Use With Young Children.

Authors:  Mehrdad Sangi; Benjamin Thompson; Jason Turuwhenua
Journal:  IEEE J Transl Eng Health Med       Date:  2015-03-05       Impact factor: 3.316

3.  COMPUTER BASED EYE TRACKER FOR DETECTION OF MANIFEST STRABISMUS.

Authors:  Ognjen Zrinšćak; Ivan Grubišić; Karolj Skala; Jelena Škunca Herman; Tena Križ; Renata Iveković
Journal:  Acta Clin Croat       Date:  2021-12       Impact factor: 0.932

Review 4.  Tests for detecting strabismus in children aged 1 to 6 years in the community.

Authors:  Sarah Hull; Vijay Tailor; Sara Balduzzi; Jugnoo Rahi; Christine Schmucker; Gianni Virgili; Annegret Dahlmann-Noor
Journal:  Cochrane Database Syst Rev       Date:  2017-11-06

5.  Eye-tracking-aided digital system for strabismus diagnosis.

Authors:  Zeng Hai Chen; Hong Fu; Wai Lun Lo; Zheru Chi; Bingang Xu
Journal:  Healthc Technol Lett       Date:  2018-01-26

6.  Strabismus Recognition Using Eye-Tracking Data and Convolutional Neural Networks.

Authors:  Zenghai Chen; Hong Fu; Wai-Lun Lo; Zheru Chi
Journal:  J Healthc Eng       Date:  2018-04-26       Impact factor: 2.682

7.  Development and Preliminary Evaluation of a Smartphone App for Measuring Eye Alignment.

Authors:  Shrinivas Pundlik; Matteo Tomasi; Rui Liu; Kevin Houston; Gang Luo
Journal:  Transl Vis Sci Technol       Date:  2019-02-08       Impact factor: 3.283

8.  A One-Step, Streamlined Children's Vision Screening Solution Based on Smartphone Imaging for Resource-Limited Areas: Design and Preliminary Field Evaluation.

Authors:  Shuoxin Ma; Yongqing Guan; Yazhen Yuan; Yuan Tai; Tan Wang
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-13       Impact factor: 4.773

9.  The Design of an Intelligent Robotic Wheelchair Supporting People with Special Needs, Including for Their Visual System.

Authors:  Dorian Cojocaru; Liviu Florin Manta; Cristina Floriana Pană; Andrei Dragomir; Alexandru Marin Mariniuc; Ionel Cristian Vladu
Journal:  Healthcare (Basel)       Date:  2021-12-22
  9 in total

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