Wioletta Nowak

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The aim of this work has been to develop a new method of variability description for the spontaneous pupillary fluctuation (SPF) signal, based on the time-frequency analysis. In the work we have studied the variability of the SPF signal spectrum. Based on the KPSS (Kwiatkowski, Philips, Schmidt, Shin) test, it has been shown that the SPF signal is(More)
BACKGROUND An objective and noninvasive examination of pupil size variability can be used to assess the activity of the autonomous nervous system. We designed a system that enables binocular, fast, and accurate recordings of different types of pupil variabilities, which are synchronous with other biosignals. This type of measurement system is needed to(More)
This paper examines the possibility of detecting 2 conditions which cause vision to deteriorate: Aged-Related Macular Degeneration (AMD), and the effects of aging on eyes using the features of PLR waveforms. These features were extracted using Fourier descriptors of PLR waveform shapes, weighted amplitudes of the waveforms, and a balanced combination of(More)
PURPOSE The pupillary light reflex is a useful diagnostic tool used to assess the function of the eye and the visual system. The increased interest in testing the pupillary light reflex is the discovery that the intrinsically photosensitive retinal ganglion cells are involved in the reflex physiology. The aim of this study was to evaluate the usefulness of(More)
BACKGROUND The waveforms of the pupillary light reflex (PLR) can be analyzed in a diagnostic test that allows for differentiation between disorders affecting photoreceptors and disorders affecting retinal ganglion cells, using various signal processing techniques. This procedure has been used on both healthy subjects and patients with age-related macular(More)
The possibility of detecting Alzheimer's Disease (AD) was examined using the pupil light reflex (PLRs). PLRs for chromatic stimuli were recorded for 14 AD patients and 21 healthy participants, and some features of the waveform shapes in their PLRs were extracted. Though there were no significant differences in the features between the two participant(More)
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