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Quantitative evaluation of blinking in blepharospasm using electrooculogram-integrated smart eyeglasses.

Ayano Yoshimura1, Yuka Hosotani1, Akiko Kimura1

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Smart eyeglasses with electrooculogram (EOG) devices offer a new way to diagnose blepharospasm. EOG parameters accurately classify blepharospasm, correlating with clinical scores for objective diagnosis.

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Area of Science:

  • Ophthalmology
  • Biomedical Engineering
  • Neurology

Background:

  • Blepharospasm diagnosis relies on clinical assessment.
  • Objective diagnostic tools are needed for blepharospasm.
  • Smart eyeglasses offer a novel platform for EOG measurement.

Purpose of the Study:

  • To evaluate smart eyeglasses with integrated electrooculogram (EOG) as a quantitative diagnostic tool for blepharospasm.
  • To assess the accuracy of EOG parameters in classifying blepharospasm.
  • To correlate EOG findings with clinical blepharospasm severity scores.

Main Methods:

  • Smart eyeglasses with EOG sensors (JINS MEME ES_R) were used.
  • Participants (n=40) performed light and fast voluntary blinking tests.
  • Vertical (Vv) and horizontal (Vh) EOG components were analyzed for peak amplitude and peak-bottom ratio.

Main Results:

  • The mean amplitude of Vh was significantly higher in blepharospasm patients during both blinking types (P<0.05).
  • The peak-bottom ratio of Vv was significantly lower in blepharospasm patients during both blinking types (P<0.05).
  • EOG parameters correlated significantly with Jankovic rating scale scores (P<0.05 and P<0.01).

Conclusions:

  • Smart eyeglasses with EOG provide accurate, objective parameters for blepharospasm classification.
  • These EOG-derived metrics can aid in the diagnosis of blepharospasm.
  • This technology offers a promising non-invasive approach for blepharospasm assessment.