New Technology from Tel Aviv University Monitoring Pupil Changes Non-Contact While Eyes Closed

TapTechNews September 15th news, the tech media medicalxpress released a blog post on September 9th, reporting that Tel Aviv University in Israel has developed a new technology that enables researchers to monitor the changes in pupil size and eye movement for the first time through non-contact infrared imaging while the eyes are closed.

Project Significance

Tracking the changes in pupil size will help identify the awake state in sleep, anesthesia, and intensive care, assist in monitoring the depth of sedation, detect epileptic seizures and nightmares, and identify possible pain or reactivity in post-traumatic and intensive care departments.

Project Team Members

The team is led by doctoral student Omer Ben Barak-Dror and jointly guided by Professor Yuval Nir from the Department of Biomedical Engineering and Professor Israel Gannot from the Department of Biomedical Engineering.

Other team members include Dr. Michal Tepper, Dr. Barak Hadad, Dr. Hani Barhum, and David Haggiag.

Project Introduction

The team combines short-wave infrared (SWIR) imaging with deep learning algorithms to achieve non-contact measurement of the pupil and tracking of the eye while the eyes are closed.

The team focuses on the pupil light reflex (PLR), that is, the process by which the pupil constricts upon sudden flash stimulation and then returns to the normal state. This is a basic reflex that occurs symmetrically in both eyes in a healthy population.

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Professors Nir and Gannot pointed out:

Our method can successfully track the precise dynamics of the pupil light reflex while the eyes are closed, revealing the change in pupil size after each flash for individual subjects, and can accurately estimate the direction of the line of sight with an accuracy of several degrees.

The system operates at the wavelength at which light penetrates the deepest in biological tissues. By analyzing the data using deep learning algorithms, we are able to go beyond the conventional possibilities of traditional near-infrared imaging methods.

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