Norouzifard, M., Black, J., Thompson, B., Klette, R. and Turuwhenua, J. (2020) A Real-Time Eye Tracking Method for Detecting Optokinetic Nystagmus. In: Palaiahnakote, S., Sanniti di Baja, G., Wang, L., Yan, W., Eds., Pattern Recognition, ACPR 2019, Lecture Notes in Computer Science, vol 12047, Springer, Cham.
https://doi.org/10.1007/978-3-030-41299-9_12

has been cited by the following article:

• TITLE: Scaling Properties of Optokinetic Nystagmus Amplitude Sequence

  AUTHORS: Torbjørn Aasen

  KEYWORDS: Nystagmus, Optokinetic, Hurst Exponent, Information Processing

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.13 No.11, November 16, 2020

  ABSTRACT: Optokinetic nystagmus (OKN) is rhythmic eye movements, back and forth, with a slow and fast phase when the eyes are presented for full-field visual stimulus. OKN was recorded in a healthy subject for four conditions, stripes moving 30°/s left and right and 60°/s left and right. In this paper, surrogate data analysis was applied to test the Hurst exponents for increasing time horizons for the integrated OKN amplitude sequences statistically against 100 shuffled sequences (i.e., the serial dependency of the original data sequences is broken by changing the order of the sequence). The result shows that the pattern of the OKN amplitude sequence scales statistically different (p