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Björn Hammar, MD, PhD. Photo.

Björn Hammar

Specialist physician

Björn Hammar, MD, PhD. Photo.

Modeling and quality assessment of nystagmus eye movements recorded using an eye-tracker

Author

  • William Rosengren
  • Marcus Nyström
  • Björn Hammar
  • Markus Rahne
  • Linnea Sjödahl
  • Martin Stridh

Summary, in English

Mathematical modeling of nystagmus oscillations is a technique with applications in diagnostics, treatment evaluation, and acuity testing. Modeling is a powerful tool for the analysis of nystagmus oscillations but quality assessment of the input data is needed in order to avoid misinterpretation of the modeling results. In this work, we propose a signal quality metric for nystagmus waveforms, the normalized segment error (NSE). The NSE is based on the energy in the error signal between the observed oscillations and a reconstruction from a harmonic sinusoidal model called the normalized waveform model (NWM). A threshold for discrimination between nystagmus oscillations and disturbances is estimated using simulated signals and receiver operator characteristics (ROC). The ROC is optimized to find noisy segments and abrupt waveform and frequency changes in the simulated data that disturb the modeling. The discrimination threshold, 휖, obtained from the ROC analysis, is applied to real recordings of nystagmus data in order to determine whether a segment is of high quality or not. The NWM parameters from both the simulated dataset and the nystagmus recordings are analyzed for the two classes suggested by the threshold. The optimized 휖 yielded a true-positive rate and a false-positive rate of 0.97 and 0.07, respectively, for the simulated data. The results from the NWM parameter analysis show that they are consistent with the known values of the simulated signals, and that the method estimates similar model parameters when performing analysis of repeated recordings from one subject.

Department/s

  • Department of Biomedical Engineering
  • Lund University Humanities Lab
  • eSSENCE: The e-Science Collaboration
  • Ophthalmology Imaging Research Group
  • Clinical research in neuro-ophthalmology

Publishing year

2020-08

Language

English

Pages

1729-1743

Publication/Series

Behavior Research Methods

Volume

52

Issue

4

Document type

Journal article

Publisher

Springer

Topic

  • Bioinformatics (Computational Biology)
  • Medical Laboratory and Measurements Technologies

Keywords

  • Eye tracking
  • Modelling
  • Nystagmus

Status

Published

Research group

  • Ophthalmology Imaging Research Group
  • Clinical research in neuro-ophthalmology

ISBN/ISSN/Other

  • ISSN: 1554-351X