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Analysis of Spontaneous Eyelid Blink Dynamics Using a 240 Frames per Second Smartphone Camera
Kyle J Godfrey1, Craig Wilsen1, Kellie Satterfield1
1Division of Oculofacial Plastic and Reconstructive Surgery, Department of Ophthalmology.
Ophthalmic Plastic and Reconstructive Surgery
|March 21, 2019
Summary
Modern smartphones can analyze eyelid dynamics using 240 frames per second video, providing objective clinical data on spontaneous blinking. This technology offers a new tool for assessing blink rate, incomplete blinks, and blink velocity.
Area of Science:
- Ophthalmology and Vision Science
- Biomedical Engineering
- Medical Imaging Technology
Background:
- Eyelid dynamics analysis is crucial for diagnosing and monitoring various ocular conditions.
- Traditional videographic methods can be expensive and require specialized equipment.
- Smartphone technology offers a potential low-cost, accessible alternative for clinical measurements.
Purpose of the Study:
- To evaluate the feasibility of using native smartphone cameras at 240 frames per second (fps) for 2D videographic analysis of eyelid dynamics during spontaneous blinking.
- To assess the resolution and clarity of smartphone videography for capturing detailed blink parameters.
Main Methods:
- Prospective recording of spontaneous blinking in 10 healthy volunteers using a smartphone camera at 240 fps and 720p resolution.
- Standardized recording setup with the smartphone on a tripod at 0.5m distance, subjects viewing a nature documentary.
- Exclusion of participants with eyelid malposition, ocular surface pathology, or prior ocular surgery.
- Primary outcome measures included interblink interval, blink rate, percentage of incomplete blinks, and blink velocity.
Main Results:
- The study included 10 subjects (5 male, 5 female, average age 34).
- Mean interblink interval was 7.4 seconds, mean blink rate was 13 blinks/minute.
- Mean percentage of incomplete blinks was 49.8%, and mean blink closure velocity was 93 mm/second.
- Obtained parameters were consistent with previously published data.
Conclusions:
- Native smartphone cameras at 240 fps provide sufficient resolution and clarity for analyzing spontaneous eyelid blink dynamics.
- This technology can yield objective clinical information regarding blink rate, dynamics, and function.
- Smartphone videography presents a promising, accessible tool for ophthalmic assessments.
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