2019
DOI: 10.3758/s13428-018-1178-5
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An automated segmentation approach to calibrating infantile nystagmus waveforms

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 … Show more

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Cited by 12 publications
(9 citation statements)
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“…In infantile nystagmus, drift and saccades alternate in a highly heterogeneous fashion and often vary extensively both within and between individuals. Recently, a calibration method has been suggested based on the automatic extraction of foveation periods according to relative velocity within the nystagmus slow phase periods, outlier correction, and waveform shape comparison (Dunn, Harris, Ennis, Margrain, Woodhouse, McIlreavy, & Erichsen, 2019;Rosengren, Nyström, Hammar, & Stridh, 2020). In the present study, we propose a different approach, one that defines the eye movements' start-and endpoints independent of the shape and uniformity of nystagmus waveforms.…”
Section: Discussionmentioning
confidence: 99%
“…In infantile nystagmus, drift and saccades alternate in a highly heterogeneous fashion and often vary extensively both within and between individuals. Recently, a calibration method has been suggested based on the automatic extraction of foveation periods according to relative velocity within the nystagmus slow phase periods, outlier correction, and waveform shape comparison (Dunn, Harris, Ennis, Margrain, Woodhouse, McIlreavy, & Erichsen, 2019;Rosengren, Nyström, Hammar, & Stridh, 2020). In the present study, we propose a different approach, one that defines the eye movements' start-and endpoints independent of the shape and uniformity of nystagmus waveforms.…”
Section: Discussionmentioning
confidence: 99%
“…Their high resolution, greater linearity, improved sampling rates and noise reduction properties are particularly important for examining nystagmus waveforms, which can vary from cycle to cycle. Advances in signal calibration of a moving eye 64 , 65 , together with new techniques for noise reduction of the data 66 , will no doubt assist in the analysis of a nystagmus time series. Moreover, targeted studies on nystagmus feature extraction 9 , 20 , 35 , 67 and modelling of nystagmus waveforms (see “ Mechanisms underlying the waveform complexity ” section) will improve our understanding of the mechanisms underpinning the oscillations.…”
Section: Discussionmentioning
confidence: 99%
“…But based on the data we recorded, the method adjustments are considered reasonable. An updated version of the method has recently been developed (Dunn et al, 2018). This method may further improve the accuracy of the algorithm.…”
Section: Discussionmentioning
confidence: 99%