Literature DB >> 28606763

Application of eye tracking in medicine: A survey, research issues and challenges.

Katarzyna Harezlak1, Pawel Kasprowski2.   

Abstract

The performance and quality of medical procedures and treatments are inextricably linked to technological development. The application of more advanced techniques provides the opportunity to gain wider knowledge and deeper understanding of the human body and mind functioning. The eye tracking methods used to register eye movement to find the direction and targets of a person's gaze are well in line with the nature of the topic. By providing methods for capturing and processing images of the eye it has become possible not only to reveal abnormalities in eye functioning but also to conduct cognitive studies focused on learning about peoples' emotions and intentions. The usefulness of the application of eye tracking technology in medicine was proved in many research studies. The aim of this paper is to give an insight into those studies and the way they utilize eye imaging in medical applications. These studies were differentiated taking their purpose and experimental paradigms into account. Additionally, methods for eye movement visualization and metrics for its quantifying were presented. Apart from presenting the state of the art, the aim of the paper was also to point out possible applications of eye tracking in medicine that have not been exhaustively investigated yet, and are going to be a perspective long-term direction of research.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Eye tracking medicine gaze

Mesh:

Year:  2017        PMID: 28606763     DOI: 10.1016/j.compmedimag.2017.04.006

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  18 in total

1.  Facial perception of infants with cleft lip and palate with/without the NAM appliance.

Authors:  A Quast; J Waschkau; J Saptschak; N Daratsianos; K Jordan; P Fromberger; J L Müller; P Meyer-Marcotty
Journal:  J Orofac Orthop       Date:  2018-09-12       Impact factor: 1.938

2.  Vision Diagnostics and Treatment System for Children with Disabilities.

Authors:  Pawel Kasprowski; Katarzyna Harezlak
Journal:  J Healthc Eng       Date:  2018-01-10       Impact factor: 2.682

3.  Neural and behavioral signature of human social perception.

Authors:  Ana Saitovitch; Hervé Lemaitre; Elza Rechtman; Alice Vinçon-Leite; Raphael Calmon; David Grévent; Volodia Dangouloff-Ros; Francis Brunelle; Nathalie Boddaert; Monica Zilbovicius
Journal:  Sci Rep       Date:  2019-06-25       Impact factor: 4.379

4.  Developing a Diagnostic Decision Support System for Benign Paroxysmal Positional Vertigo Using a Deep-Learning Model.

Authors:  Eun-Cheon Lim; Jeong Hye Park; Han Jae Jeon; Hyung-Jong Kim; Hyo-Jeong Lee; Chang-Geun Song; Sung Kwang Hong
Journal:  J Clin Med       Date:  2019-05-08       Impact factor: 4.241

5.  An Analysis of Entropy-Based Eye Movement Events Detection.

Authors:  Katarzyna Harezlak; Dariusz R Augustyn; Pawel Kasprowski
Journal:  Entropy (Basel)       Date:  2019-01-24       Impact factor: 2.524

Review 6.  The Measurement of Eye Movements in Mild Traumatic Brain Injury: A Structured Review of an Emerging Area.

Authors:  Samuel Stuart; Lucy Parrington; Douglas Martini; Robert Peterka; James Chesnutt; Laurie King
Journal:  Front Sports Act Living       Date:  2020-01-28

7.  An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control.

Authors:  Mahmoud Dahmani; Muhammad E H Chowdhury; Amith Khandakar; Tawsifur Rahman; Khaled Al-Jayyousi; Abdalla Hefny; Serkan Kiranyaz
Journal:  Sensors (Basel)       Date:  2020-07-15       Impact factor: 3.576

8.  Potential of eye tracking technology for assessment of performance and medical education in the field of anesthesia.

Authors:  Eunsoo Kim
Journal:  Korean J Anesthesiol       Date:  2018-07-30

9.  Use of information modelling techniques to understand research trends in eye gaze estimation methods: An automated review.

Authors:  Jaiteg Singh; Nandini Modi
Journal:  Heliyon       Date:  2019-12-18

Review 10.  Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review.

Authors:  Felipe Fernandes; Ingridy Barbalho; Daniele Barros; Ricardo Valentim; César Teixeira; Jorge Henriques; Paulo Gil; Mário Dourado Júnior
Journal:  Biomed Eng Online       Date:  2021-06-15       Impact factor: 2.819

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