Juan Ye
Hangzhou, Zhejiang, 310000, China
Location status: Recruiting
NCT Number: NCT04921020
This study plans to assess eyelid topology (such as margin reflex distance, eyelid contour, and corneal exposure area) and blinking (such as frequency, velocity, and duration), using deep learning method to automatically extract eyelid topological features, and to predict subtypes of levator function, using deep learning method to extract blinking features, in order to provide new ideas and means to assess eyelid topology and kinetics.
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Request InfoAll sexes
Observational
Hangzhou, Zhejiang, 310000, China
Location status: Recruiting
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
variable ptosis (e.g., myasthenia gravis), entropion, ectropion, enophthalmos, exophthalmos, strabismus, and abnormalities of pupil
Facial photographs and blinking videos are taken
Time frame: through study completion, 5 years
Palpebral fissure length [Margin reflex distance 1, Margin reflex distance 2], Lid length [Upper lid length, Lower lid length], Multiple mid-pupil lid distances
Time frame: through study completion, 5 years
Palpebral fissure area [Medial area, Corneal area, Lateral area]
Time frame: through study completion, 5 years
Levator function is classified into three categories: good, fair and poor
Contact information is provided by the study sponsor or research team.
Juan Ye
CONTACT
Lixia Lou
CONTACT
Second Affiliated Hospital, School of Medicine, Zhejiang University
Other
Department of Ophthalmology
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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