Development of a Smartphone-based Pupillometer for Neuro-ophthalmological Diseases Screening

Sousa, Ana Isabel; Almeida, Rui Valente de; Narciso, Maria; Crivellaro, Fernando; Marques-Neves, Carlos; Pinto, Luís Abegão; Vieira, Pedro

doi:10.5220/0008962600500056

Cited by 3 publications

(14 citation statements)

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“…Therefore, the data processing algorithms were applied to several frames from the videos acquired from the participant subjects. Basically, this work is a continuation of the work presented in [29] towards the validation of this smartphone-based pupillometer.…”

Section: Introductionmentioning

confidence: 87%

“…This project intends to validate the low cost pupillometer system developed by our team as proposed in Sousa et al [29]. The main goal is to use a medium range Android smartphone to acquire video of pupil response to a chromatic stimulus and post-process it to get the common parameters of PLR.…”

Section: Methodsmentioning

confidence: 99%

“…Recently, our team proposed an all-in-one smartphone-based pupillometer using a medium range Android device to acquire and process pupil response videos [29]. This proposed system uses the rear-facing camera and flash light of the smartphone to work as stimulus.…”

Section: Introductionmentioning

confidence: 99%

“…This first proposal of the system [29] had only some preliminary results, with the application of the pupil detection algorithm to around 40 eye images, but no further testing and validation was performed. In the present work, data from 5 healthy individuals was acquired following a chromatic pupillometry protocol based in Park et al [25] discoveries, to validate the acquisition part of the system.…”

Section: Introductionmentioning

confidence: 99%

“…In the present work, data from 5 healthy individuals was acquired following a chromatic pupillometry protocol based in Park et al [25] discoveries, to validate the acquisition part of the system. The data was then post-processed with the main goal to validate the algorithms proposed in [29] for pupil detection. This study also aims to understand the influence of CLAHE parameters in pupil detection by ElSe algorithm.…”

Section: Introductionmentioning

confidence: 99%

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

Sousa

Marques-Neves

Pinto

et al. 2021

Biomedical Engineering Systems and Technologies

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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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Section: Introductionmentioning

confidence: 87%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Sousa

Marques-Neves

Pinto

et al. 2021

Biomedical Engineering Systems and Technologies

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Smartphone-Based Pupillometer with Chromatic Stimuli to Screen Neuro-Ophthalmological Diseases

2022

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Development of a Smartphone-Based System for Intrinsically Photosensitive Retinal Ganglion Cells Targeted Chromatic Pupillometry

Sousa,

Marques-Neves,

Vieira

2024

Bioengineering

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Chromatic Pupillometry, used to assess Pupil Light Reflex (PLR) to a coloured light stimulus, has regained interest since the discovery of melanopsin in the intrinsically photosensitive Retinal Ganglion Cells (ipRGCs). This technique has shown the potential to be used as a screening tool for neuro-ophthalmological diseases; however, most of the pupillometers available are expensive and not portable, making it harder for them to be used as a widespread screening tool. In this study, we developed a smartphone-based system for chromatic pupillometry that allows targeted stimulation of the ipRGCs. Using a smartphone, this system is portable and accessible and takes advantage of the location of the ipRGCs in the perifovea. The system incorporates a 3D-printed support for the smartphone and an illumination system. Preliminary tests were carried out on a single individual and then validated on eleven healthy individuals with two different LED intensities. The average Post-Illumination Pupil Light Response 6 s after the stimuli offsets (PIPR-6s) showed a difference between the blue and the red stimuli of 9.5% for both intensities, which aligns with the studies using full-field stimulators. The results validated this system for a targeted stimulation of the ipRGCs for chromatic pupillometry, with the potential to be a portable and accessible screening tool for neuro-ophthalmological diseases.

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Development of a Smartphone-based Pupillometer for Neuro-ophthalmological Diseases Screening

Cited by 3 publications

References 0 publications

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

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

Smartphone-Based Pupillometer with Chromatic Stimuli to Screen Neuro-Ophthalmological Diseases

Development of a Smartphone-Based System for Intrinsically Photosensitive Retinal Ganglion Cells Targeted Chromatic Pupillometry

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