Pupillometer

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Key Personnel

  • Julia Finkel, MD
  • Zenaide Quezado, MD
  • Elizabeth Bettini, MSN, PhD Candidate

The concept formation and early prototyping phases were completed in collaboration with students from American University Kogod School of Business and International Design Business Management (IDBM) program at Finland’s Aalto University.

Synopsis
This project’s goal is to develop pupillary response detection applications utilizing smart phone technology. Algorithms are being developed that use objective pupillometry measures in order to guide therapy. Control of the pupil is a complex physiology that involves multiple neuronal pathways, and pupillary behavior is the reflection of the integrity and functionality of these neurological circuits. Measurement of pupil size and dynamic response to light can reflect alterations or abnormalities in the metabolism or the structure of the central nervous system. Such determinations are important in both experimental and clinical settings. This device will enable clinicians and healthcare professionals to assess, precisely and objectively, pupil dynamic measurements and compare these parameters over time using different algorithms specific to different clinical situations. The application format on the smart phone will also enable objective generation of comparative information to facilitate the understanding of the data generated. The device also will permit certain, limited assessments by laypersons to determine the need for further medical intervention. Applications include: a) opioid management; b) traumatic brain injury assessment; c) detection of diabetic neuropathy and dysautonomia before clinically overt symptoms appear; and d)phenotyping tool for the enzyme CYP2D6. The activity of this enzyme is important in the metabolism of many important analgesics.