Evaluation of Comfort Behavior Levels of Newborns With Artificial Intelligence Techniques

Sponsor
Eskisehir Osmangazi University (Other)
Overall Status
Unknown status
CT.gov ID
NCT04337229
Collaborator
(none)
1,000
1
12

Study Details

Study Description

Brief Summary

This study; It will be carried out with the aim of developing the artificial intelligence method, which allows automatic determination of comfort levels of newborns.

Condition or Disease Intervention/Treatment Phase
  • Other: Artifical intelligent
N/A

Detailed Description

This study; It will be carried out with the aim of developing the artificial intelligence method, which allows automatic determination of comfort levels of newborns. 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.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
1000 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Intervention Model Description:
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.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.
Masking:
None (Open Label)
Masking Description:
Researchers and family of newborns will know about all the details of the study. Verbal and written permission will be obtained from families.
Primary Purpose:
Other
Official Title:
Evaluation of Comfort Behavior Levels of Newborns With Artificial Intelligence Techniques
Anticipated Study Start Date :
Sep 1, 2020
Anticipated Primary Completion Date :
Dec 1, 2020
Anticipated Study Completion Date :
Sep 1, 2021

Arms and Interventions

Arm Intervention/Treatment
Experimental: 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.

Other: 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.

Outcome Measures

Primary Outcome Measures

  1. Images of the newborn [12 hours for each newborn]

    Images will be taken to transfer behaviors of newborns to the computer. Attention will be paid to making face and body movements visible while taking the image.The camera will take 12 hours of view of each newborn.However, this period can be shortened as a result of preliminary work.

Secondary Outcome Measures

  1. Artificial intelligence techniques [Approximately 1 week for each newborn]

    The images of the newborn will be transferred to the computer. The images will be processed by a specialist on computer using artificial intelligence techniques.

Eligibility Criteria

Criteria

Ages Eligible for Study:
1 Hour to 28 Days
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Parents' acceptance of their baby's participation in the study

  • Having a baby born at 24-42 weeks

Exclusion Criteria:
  • Having a baby born before 24 weeks of gestation or after 42 weeks of gestation.

  • Has received analgesic, muscle relaxant or sedative drug treatment that may affect comfort and behavior (last 24 hours)

  • Newborn has serious neurological damage

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • Eskisehir Osmangazi University

Investigators

  • Principal Investigator: DENİZ YİĞİT, Res.Asst., ESKİŞEHİR OSMANGAZİ ÜNİVERSİTESİ SAĞLIK BİLİMLERİ FAKÜLTESİ

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
DENİZ YİĞİT, Research Assistant, Eskisehir Osmangazi University
ClinicalTrials.gov Identifier:
NCT04337229
Other Study ID Numbers:
  • DYIGIT
  • Ayfer ACIKGOZ
First Posted:
Apr 7, 2020
Last Update Posted:
Apr 13, 2020
Last Verified:
Apr 1, 2020
Individual Participant Data (IPD) Sharing Statement:
Yes
Plan to Share IPD:
Yes
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by DENİZ YİĞİT, Research Assistant, Eskisehir Osmangazi University

Study Results

No Results Posted as of Apr 13, 2020