ArticleBehavior research methods2019
An automated segmentation approach to calibrating infantile nystagmus waveforms.
Article in Behavior research methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Two-Dimensional Eye Movement Characteristics of Infantile Nystagmus in Eccentric Gaze.Investigative ophthalmology & visual science · 2026Article
- The fundamentals of eye tracking, Part 7: Determining data quality.Behavior research methods · 2026Article
- "Time to See" in Infantile Nystagmus.Investigative ophthalmology & visual science · 2026Article
- The Human Fovea Is Relatively Horizontally Elongated in Infantile Nystagmus.Investigative ophthalmology & visual science · 2025Article
- Nystagmus characteristics and their impact on pattern-reversal VEP in patients with albinism.Documenta ophthalmologica. Advances in ophthalmology · 2025Article
- Eyetracking-enhanced VEP for nystagmus.Scientific reports · 2023Article
- Eye tracking: empirical foundations for a minimal reporting guideline.Behavior research methods · 2023Review
- Eye movements elevate crowding in idiopathic infantile nystagmus syndrome.Journal of vision · 2021Article
- Analysing nystagmus waveforms: a computational framework.Scientific reports · 2021Article
- Successful visually guided eye movements following sight restoration after congenital cataracts.Journal of vision · 2020Article
- Two-Dimensional Analysis of Horizontal and Vertical Pursuit in Infantile Nystagmus Reveals Quantitative Deficits in Accuracy and Precision.Investigative ophthalmology & visual science · 2020Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infantile nystagmus (IN) describes a regular, repetitive movement of the eyes. A characteristic feature of each cycle of the IN eye movement waveform is a period in which the eyes are moving at minimal velocity. This so-called "foveation" period has long been considered the basis for the best vision in individuals with IN. In recent years, the technology for measuring eye movements has improved considerably, but there remains the challenge of calibrating the direction of gaze in tracking systems when the eyes are continuously moving. Identifying portions of the nystagmus waveform suitable for calibration typically involves time-consuming manual selection of the foveation periods from the eye trace. Without an accurate calibration, the exact parameters of the waveform cannot be determined. In this study, we present an automated method for segmenting IN waveforms with the purpose of determining the foveation positions to be used for calibration of an eye tracker. On average, the "point of regard" was found to be within 0.21° of that determined by hand-marking by an expert observer. This method enables rapid clinical quantification of waveforms and the possibility of gaze-contingent research paradigms being performed with this patient group.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.