Evaluation of Comfort Behavior Levels of Newborns With Artificial Intelligence Techniques
NCT ID: NCT04337229
Last Updated: 2020-04-13
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
1000 participants
INTERVENTIONAL
2020-09-30
2021-09-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
OTHER
NONE
Study Groups
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artificial intelligence techniques
Facial and body movements of newborns will be recorded by camera, and images will be processed in computer environment by using artificial intelligence techniques. As a result, it is planned to create a technology that determines the comfort level of the newborn quickly and simply and can be used by the mobile device.
Artifical intelligent
it is planned to create a technology that determines the comfort level of the newborn quickly and simply, easy to use, time-saving and can be used by the mobile device.
Interventions
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Artifical intelligent
it is planned to create a technology that determines the comfort level of the newborn quickly and simply, easy to use, time-saving and can be used by the mobile device.
Eligibility Criteria
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Inclusion Criteria
* Having a baby born at 24-42 weeks
Exclusion Criteria
* Has received analgesic, muscle relaxant or sedative drug treatment that may affect comfort and behavior (last 24 hours)
* Newborn has serious neurological damage
1 Hour
28 Days
ALL
No
Sponsors
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Eskisehir Osmangazi University
OTHER
Responsible Party
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DENİZ YİĞİT
Research Assistant
Principal Investigators
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DENİZ YİĞİT, Res.Asst.
Role: PRINCIPAL_INVESTIGATOR
ESKİŞEHİR OSMANGAZİ ÜNİVERSİTESİ SAĞLIK BİLİMLERİ FAKÜLTESİ
Central Contacts
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References
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Arroyo-Novoa CM, Figueroa-Ramos MI, Puntillo KA, Stanik-Hutt J, Thompson CL, White C, Wild LR. Pain related to tracheal suctioning in awake acutely and critically ill adults: a descriptive study. Intensive Crit Care Nurs. 2008 Feb;24(1):20-7. doi: 10.1016/j.iccn.2007.05.002. Epub 2007 Aug 6.
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Kaya, U., Yılmaz, A., & Dikmen, Y. (2019). Sağlık alanında kullanılan derin öğrenme yöntemleri. Avrupa Bilim ve Teknoloji Dergisi, (16): 792-808.
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Other Identifiers
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Ayfer ACIKGOZ
Identifier Type: OTHER
Identifier Source: secondary_id
DYIGIT
Identifier Type: -
Identifier Source: org_study_id
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