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Development of Dysphagia Evaluation Via Video Analysis Based on Deep Learning Method in Neonates and Infants and Correlation Between the Evaluation and the Development

NCT05204966 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 50

Last updated 2022-01-24

No results posted yet for this study

Summary

The purpose of this study is to develop an evaluation of dysphagia through deep learning-based video analysis in newborns and infants, and to report the correlation with future development.

Conditions

  • Dysphagia of Newborn

Interventions

DIAGNOSTIC_TEST

AI analysis

1. Bottle feeding filming \- With a camera that can measure depth, take a video of feeding milk from a bottle for 5-10 minutes. 2. NOMAS (Neonatal Oral-Motor Assessment Scale) evaluation * Evaluate NOMAS with bottle feeding video by certified evaluators. * NOMAS, developed by Marjorie Meyer Palmer in 1983, is an evaluation method for dysphagia applicable to infants under 48 weeks of PMA. 3. Implementation of video analysis using deep learning (A) Analysis method - Implement a deep learning network that sets keypoints of faces and environments related to swallowing and detects specified keypoints in units of frames. (B) Analyze the movement of key points, and figure out the correlation between swallowing states. (C) Create an input/output process that can automatically classify swallowing states with video as input.

Sponsors & Collaborators

  • Asan Medical Center

    lead OTHER

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Max Age
6 Months
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-08-02
Primary Completion
2024-12-31
Completion
2024-12-31

Countries

  • South Korea

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05204966 on ClinicalTrials.gov