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Towards the Development and Validation of a Smartphone-Based Pupillometer for Neuro-Ophthalmological Diseases Screening

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Biomedical Engineering Systems and Technologies (BIOSTEC 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1400))

Abstract

Pupillometry allows a quantitative measurement of PLR and has been mainly used to assess patient’s consciousness and vision function. The analysis of pupil light reflex (PLR) has been showing a renewed interest since the discovery of intrinsically photosensitive retinal ganglion cells (ipRGCs), that are sensitive to the blue light, as they have an important role in pupil response to a stimulus. Some researches have studied pupillometry, particularly chromatic pupillometry that uses blue and red stimuli, to be a screening tool for neuro-ophthalmological diseases. Automated pupillometers have been widely used, however they are either not portable or expensive, reason why this technique has been mainly used in academic research. A smartphone-based pupillometer could be a promising equipment to overcome these limitations and to be a widespread screening tool, due to its low price, portability and accessibility. This work shows our latest advances towards the development and validation of an Android system for pupillometry measurements. Pupillometric data was collected with the smartphone application in a group of five healthy individuals and used to test our proposed data processing algorithms. These tests showed that the data processing methods that we are proposing, although promising, did not behave as expected, indicating that new approaches, better validations and corrections should be made in the future to get a stable software for pupil detection. Nevertheless, preliminary pupillometric data indicate that this system has the potential to work as an inexpensive, easy-to-use and portable pupillometer.

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Acknowledgments

This work is funded by National Funds through FCT - Portuguese Foundation for Science and Technology and Compta S.A. under the PhD grant with reference PD/BDE/135002/2017. A special acknowledgment to Compta S.A. team and to the Ophthalmology Department of Hospital Santa Maria for all the support given.

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Authors and Affiliations

  1. Department of Physics, Faculty of Science and Technology, NOVA University of Lisbon, Caparica Campus, 2829-516, Caparica, Portugal

    Ana Isabel Sousa & Pedro Vieira

  2. Faculty of Medicine, University of Lisbon, 1649-028, Lisbon, Portugal

    Carlos Marques Neves & Luís Abegão Pinto

Authors
  1. Ana Isabel Sousa
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  2. Carlos Marques Neves
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  3. Luís Abegão Pinto
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  4. Pedro Vieira
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Corresponding author

Correspondence to Ana Isabel Sousa .

Editor information

Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Xuesong Ye

  2. Fraunhofer Portugal Research Center for Assistive Information and Communication Solutions, Porto, Portugal

    Filipe Soares

  3. Nice Sophia Antipolis University, Nice Cedex 2, France

    Elisabetta De Maria

  4. Universidad Politécnica de Madrid, Madrid, Spain

    Pedro Gómez Vilda

  5. University of Milano-Bicocca, Milan, Italy

    Federico Cabitza

  6. Instituto de Telecomunicações, University of Lisbon, Lisbon, Portugal

    Ana Fred

  7. Universidade Nova de Lisboa, Caparica, Portugal

    Hugo Gamboa

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Sousa, A.I., Neves, C.M., Pinto, L.A., Vieira, P. (2021). Towards the Development and Validation of a Smartphone-Based Pupillometer for Neuro-Ophthalmological Diseases Screening. In: Ye, X., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2020. Communications in Computer and Information Science, vol 1400. Springer, Cham. https://doi.org/10.1007/978-3-030-72379-8_3

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  • DOI: https://doi.org/10.1007/978-3-030-72379-8_3

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  • Online ISBN: 978-3-030-72379-8

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