ArticleBioMed research international2013
Investigation of nonlinear pupil dynamics by recurrence quantification analysis.
Article in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Pupillary Hippus as a Biomarker: Spectral Signatures and Complexity Approaches in Autonomic and Clinical Contexts.Bioengineering (Basel, Switzerland) · 2025Review
- The relationship between dental occlusion and visual dysfunctions: A literature review.Journal of orthodontic science · 2025Review
- From pre-processing to advanced dynamic modeling of pupil data.Behavior research methods · 2024Article
- Linear and non linear measures of pupil size as a function of hypnotizability.Scientific reports · 2021Article
- Fluctuation in Pupil Size and Spontaneous Blinks Reflect Story Transportation.Journal of eye movement research · 2020Article
- Sympathetic and Parasympathetic Modulation of Pupillary Unrest.Frontiers in neuroscience · 2020Article
- A Cross-Recurrence Analysis of the Pupil Size Fluctuations in Steady Scotopic Conditions.Frontiers in neuroscience · 2019Article
- Estimation of Complexity of Sampled Biomedical Continuous Time Signals Using Approximate Entropy.Frontiers in physiology · 2018Article
- Dental Occlusion and Ophthalmology: A Literature Review.The open dentistry journal · 2016Article
- Prognostic value of EEG indexes for the Glasgow outcome scale of comatose patients in the acute phase.Journal of clinical monitoring and computing · 2014Article
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Authors and funding
3 authors.
Funding
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Abstract
Pupil is controlled by the autonomous nervous system (ANS). It shows complex movements and changes of size even in conditions of constant stimulation. The possibility of extracting information on ANS by processing data recorded during a short experiment using a low cost system for pupil investigation is studied. Moreover, the significance of nonlinear information contained in the pupillogram is investigated. We examined 13 healthy subjects in different stationary conditions, considering habitual dental occlusion (HDO) as a weak stimulation of the ANS with respect to the maintenance of the rest position (RP) of the jaw. Images of pupil captured by infrared cameras were processed to estimate position and size on each frame. From such time series, we extracted linear indexes (e.g., average size, average displacement, and spectral parameters) and nonlinear information using recurrence quantification analysis (RQA). Data were classified using multilayer perceptrons and support vector machines trained using different sets of input indexes: the best performance in classification was obtained including nonlinear indexes in the input features. These results indicate that RQA nonlinear indexes provide additional information on pupil dynamics with respect to linear descriptors, allowing the discrimination of even a slight stimulation of the ANS. Their use in the investigation of pathology is suggested.
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