Assessment of Postoperative Pain in Children With Facial Expression Analysis
NCT05345275 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 83
Last updated 2022-04-25
Summary
The present study was conducted to evaluate the use of computer-aided facial expression analysis to assess postoperative pain in children. The study population consisted of patients in the age group of 7-18 years who underwent surgery at Bursa Uludağ University Faculty of Medicine Health Application and Research Hospital Pediatric Surgery Clinic between November 2019 and June 2021. The sample of the study consisted of total 83 children who agreed to participate in the study and who met the sample selection criteria. Data were collected by the researcher using the Wong Baker Faces (WBS) pain rating scale and Visual Analog Scale (VAS). Data were collected from the child, mother, nurse, and one external observer. Facial action units associated with pain were used for machine estimation. OpenFace was used to analyze the child's facial action units and Python was used for machine learning algorithms. Intraclass correlation coefficient, Kappa coefficient, and linear regression analysis were used for statistical analysis of the data. The pain score predicted by the machine and the pain score assessments of the child, mother, nurse, and observer were compared.
Conditions
- Pain, Postoperative
Interventions
- OTHER
-
The facial expressions analyzed
The facial expressions associated with pain were analyzed by the researchers in the OpenFace program. The patient's pain scores were estimated in the Python program by combining the numerical outputs of facial expression analyses with machine learning algorithms.
Sponsors & Collaborators
-
Uludag University
lead OTHER
Eligibility
- Min Age
- 7 Years
- Max Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2019-11-01
- Primary Completion
- 2021-06-30
- Completion
- 2021-06-30
Countries
- Turkey (Türkiye)
Study Locations
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