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Blinking clinical trials

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NCT ID: NCT04828187 Completed - Deep Learning Clinical Trials

Development and Validation of Deep Neural Networks for Blinking Identification and Classification

Start date: October 1, 2020
Phase:
Study type: Observational [Patient Registry]

Primary objective of this study is the development and validation of a system of deep neural networks which automatically detects and classifies blinks as "complete" or "incomplete" in image sequences.

NCT ID: NCT02851654 Completed - Dry Eye Syndromes Clinical Trials

Interest of Eye Movement Measurements in the Comprehension of Dry Eyes Symptoms

BOSO
Start date: November 5, 2014
Phase:
Study type: Observational

Dry eye syndrome is a benign situation however its impact on patient's quality of live and on health system is not trivial. One problem is the lack of correlation between patient's symptoms and physical sign observed on slit lamp examination. Eye blinking is a parameter of increased interest in this pathology particularly its frequency. To date no treatment of dry eye syndrome has a proven impact on eye blinking frequency. However recording of blinks has mostly been performed on short duration (3 to 5 minutes) and the distribution of intervals between 2 blinks is not gaussian but exponential. In this study, it is proposed to use modern eye-movement recorder to measure the blink frequency on longer duration (12 minutes) while reading on a screen computer and during a face-to-face interview before and after treatment of meibomian gland dysfunction responsible of moderate to severe dry eye syndrome.