September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
The nGoggle: A Portable Brain-Based Method for Assessment of Visual Function Deficits in Glaucoma
Author Affiliations & Notes
  • Felipe A Medeiros
    Laboratory of Performance and Visual Function, University of California San Diego, La Jolla , California, United States
  • John K Zao
    Laboratory of Performance and Visual Function, University of California San Diego, La Jolla , California, United States
  • Yute Wang
    Laboratory of Performance and Visual Function, University of California San Diego, La Jolla , California, United States
  • Masaki Nakanishi
    Laboratory of Performance and Visual Function, University of California San Diego, La Jolla , California, United States
  • Yuan-Pin Lin
    Laboratory of Performance and Visual Function, University of California San Diego, La Jolla , California, United States
  • Alberto Diniz-Filho
    Laboratory of Performance and Visual Function, University of California San Diego, La Jolla , California, United States
  • Tzyy-Ping Jung
    Swartz Center for Computational Neuroscience, University of California San Diego, San Diego, California, United States
  • Footnotes
    Commercial Relationships   Felipe Medeiros, NeuroGoggle (P); John Zao, None; Yute Wang, None; Masaki Nakanishi, None; Yuan-Pin Lin, None; Alberto Diniz-Filho, None; Tzyy-Ping Jung, None
  • Footnotes
    Support  NIH Grant EY025056
Investigative Ophthalmology & Visual Science September 2016, Vol.57, 3940. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to Subscribers Only
      Sign In or Create an Account ×
    • Get Citation

      Felipe A Medeiros, John K Zao, Yute Wang, Masaki Nakanishi, Yuan-Pin Lin, Alberto Diniz-Filho, Tzyy-Ping Jung; The nGoggle: A Portable Brain-Based Method for Assessment of Visual Function Deficits in Glaucoma. Invest. Ophthalmol. Vis. Sci. 2016;57(12):3940.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : To describe the development of a new portable objective method for assessment of functional deficits in glaucoma. The device is armed with electrophysiological sensors, mA current stimulators and wireless fog/cloud computing support to enable portable and objective assessment of visual field defects using multifocal steady-state visual-evoked potentials (mfSSVEPs).

Methods : A prototype has been developed by adding the following sensors, actuators and processors to a Samsung Gear VR Goggle (Figure 1): Six EEG dry electrodes at Oz, O3, O4, Pz, left and right mastoids with the Reference at Fz; Three EEG/EOG/EMG electrodes at FPz and the inner corners of lower eyelids; Dual-band 602.11 a/b/g/n Wi-Fi and Bluetooth 4.0 radios; Dual-core processor running Yocto Linux with Preempt-RT patch. Artifact removal, spectral and canonical correlation analyses can be run in the embedded processor in near real time. Gaussian pseudo-random current noise of ±1mA can be injected through four electrodes at Fz, Oz, left and right mastoids. The frontend device is supported by a pervasive computing infrastructure consisting of near-end fog servers and far-end cloud computing centers. EOG captured around the perimeters of subjects’ eyes was used to monitor the dynamics of eye saccade and fixation losses. Multiple frequency-tagged flickering sectors (alternating black/white) are presented in order to elicit mfSSVEP signals. All sectors flickered concurrently at frequencies from 8 to 11.8 Hz with a step of 0.2 Hz.

Results : Figure 2 shows the waveforms and power spectra of EEG/EOG signals (10 Sec epochs) collected in an experimental subject using the prototype, indicating reliable capture of mfSSVEP and EOG signals.

Conclusions : In initial development and experimental testing, the system was able to reliably capture and analyze visually induced-mfSSVEP signals and electrooculogram signals on the fly. The portability and wireless cloud-based signal transmission capability may enable in-home and remote objective testing of visual function deficits with this system.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

 

 

×
×

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.

×