Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Modeling reading speed and comfort in single and multiple subretinal implants
Author Affiliations & Notes
  • Clara Zabban
    Pixium Vision, Paris, France
  • Seyda Ozcelik
    Pixium Vision, Paris, France
  • Frank G Holz
    Rheinische Friedrich-Wilhelms-Universitat Bonn, Bonn, Nordrhein-Westfalen, Germany
  • Jose Alain Sahel
    UPMC, Pittsburgh, Pennsylvania, United States
  • Ralf Hornig
    Pixium Vision, Paris, France
  • Footnotes
    Commercial Relationships   Clara Zabban Pixium Vision, Code E (Employment); Seyda Ozcelik Pixium Vision, Code F (Financial Support); Frank Holz Pixium Vision, Code C (Consultant/Contractor); Jose Sahel None; Ralf Hornig Pixium Vision, Code E (Employment), Pixium Vision, Code I (Personal Financial Interest)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 5422. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Clara Zabban, Seyda Ozcelik, Frank G Holz, Jose Alain Sahel, Ralf Hornig; Modeling reading speed and comfort in single and multiple subretinal implants. Invest. Ophthalmol. Vis. Sci. 2024;65(7):5422.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose : The subretinal PRIMA implant can provide partial vision restoration with a maximum field of view of 7 degrees. This study assesses by psychophysical testing with healthy subjects whether the visual field offered by two adjacent PRIMA implants (2x2mm in size) at different distances translates into a significant impact on the reading comfort and reading speed versus with a single implant.

Methods : The reading performance of sixteen normal-sighted volunteers was evaluated using four charts of the Bailey-Lovie test with a simulated minimized visual field to reproduce four reading conditions:
- One single implant (model 1)
- Two implants with no distance (model 2)
- Two implants separated by 0.5 mm (model 3)
- Two implants separated by 1 mm (model 4)

While reading, visual field limiters were employed to simulate the four implanted conditions: A4 opaque paper with one squared cutout, and two squared cutouts separated by 0 mm, 0.5 mm, and 1 mm respectively.
During the reading tests, the reading speed was measured, the number of misread words was recorded, and the subjective reading comfort was evaluated on a 1-10 scale.
For every parameter the median, mean, standard deviation, and p-values of the differences were calculated.
A mixed regression model was applied for reading time and comfort variables, whereas the error rate was generalized via a mixed logistic regression model.

Results : Model 2 (two implants without distance) showed the highest reading speed, 13.68 s/line, i.e., 39% higher than single implant condition.
Additionally, the same model resulted as the one providing the highest reading comfort rate, 7.27/10, i.e., 40% higher than the single chip model.
Significant differences of 35% and 36% in reading speed were observed in model 3 and model 4 with respect to model 1.
No evidence of statistical difference in error rate was obtained by all multi-chip models.

Conclusions : Although the used setup has some limitations, e.g., that subjects could freely move their focus on the presented visual field, it was demonstrated that the implantation of multiple implants can potentially improve the reading speed significantly.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

The PRIMA Bionic Vision system

The PRIMA Bionic Vision system

 

Mean reading time (s) across the four testing conditions.

Mean reading time (s) across the four testing conditions.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×