Concentration Ability Impaired Clinical Trial
Official title:
Ocular Parameters Assessment With a Deep Neural Network in Patients With Sleep Apnea
The aim of this study is to assess the ocular parameters of drowsiness in patients with diagnosed Obstructive Sleep Apnea Syndrome through objective methods of ocular imaging and subjective evaluation methods (questionnaire)
This is a single-center prospective comparative observational study. One hundred patients with drowsiness that will be examined in the Sleep Clinic of Alexandroupolis University Hospital, aged between18-70 years old, with Distance Uncorrected Visual Acuity ≥ (dUVA): 5/10 will be recruited. They will be separated into two groups, one consisting of patients with diagnosed Obstructive Sleep Apnea and one without this diagnosis, according to the Epworth Sleepiness Scale - ESS, which is a valid tool for quantifying daily sleepiness. A 10-minute video in a foreign language (not English or Greek) with greek subtitles will be presented to them and a questionnaire will follow to assess the level of concentration during the video (the subtitles are crucial to understanding the video's plot). The video will be displayed in a 11.6" screen with resolution of 1920x1080 pixels, at 70 cm patient-to-screen distance. The patients' eyes will be recorded during the video with a Raspberry Pi Camera Module IR-CUT v2 (5MP,1080p) with 2 IR LED lights, connected to a Raspberry Pi 3 model v1.2, operating at the original resolution of 1080×1920, at 20 cm patient-to-camera distance and an algorithm will be developed to analyze the following parameters: 1. The complete and incomplete blinks defined by the "length of palpebral fissure-to-iris diameter" ratio, 3. Length of palpebral fissure of both eyes. ;
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