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Assessment of pupillary light reflex using a smartphone application
Young Duck Shin1, Jin Ho Bae1, Eun Jung Kwon1
1Department of Anesthesiology and Pain Medicine, College of Medicine, Chungbuk National University, Cheongju, Chungcheongbuk-do 361-763, Republic of Korea.
Experimental and Therapeutic Medicine
|July 23, 2016
Summary
A new smartphone application accurately measures pupillary light reflex, showing no significant difference compared to traditional penlight methods. This portable app offers objective medical evidence for assessing brain injury indicators.
Area of Science:
- Neurology
- Medical Technology
- Ophthalmology
Background:
- Pupillary light reflex is a critical indicator of neurological function, especially in unconscious patients.
- Assessing pupillary light reflex traditionally relies on manual methods, which can be subjective.
Purpose of the Study:
- To develop and validate a smartphone application for measuring pupillary light reflex.
- To determine the agreement between pupillary light reflex measurements obtained via smartphone application (APP) and a penlight (PEN).
Main Methods:
- A smartphone application was developed to capture sequential pupil images using the camera flash.
- Pupillary light reflex was assessed in 30 healthy subjects using both the APP and a PEN.
- Agreement was analyzed using bias, limits of agreement, and intraclass correlation (ICC).
Main Results:
- No statistically significant difference was found between the APP and PEN methods for pupil size and response.
- Bias was 0.1 mm and limits of agreement were ±1.5 mm compared to the PEN.
- The intraclass correlation coefficient (ICC) was 0.93, indicating high agreement.
Conclusions:
- The smartphone application demonstrates reliable and comparable results to the penlight method for assessing pupillary light reflex.
- The APP offers advantages in portability, objectivity, and potential use as medical evidence.
- This technology has the potential to improve neurological assessment in various clinical settings.
