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A Study on Building a Voice Cohort for the Development of a Non-face-to-face Machine Learning Diagnostic and Monitoring Platform Using Voice Analysis and Various Sensors in Patients With Dysphagia.

NCT05439447 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 259

Last updated 2026-02-25

No results posted yet for this study

Summary

Collection of basic data for real-time analysis and monitoring by measuring what changes in voice occur according to the state of dysphagia using voice analysis and various sensors.

Conditions

  • Deglutition Disorders

Interventions

DIAGNOSTIC_TEST

Voice recording and sensor-based data collection

Pre- and post-swallowing voice recordings (sustained phonation "ah" for 5 seconds, short phonation, humming, and sentence reading) were collected using a microphone (AKG C 411L) attached to suprahyoid muscles. For VFSS patients, recordings were performed before and after VFSS examination. For healthy controls, recordings were performed before and after yogurt intake. No therapeutic intervention was performed.

Sponsors & Collaborators

  • Seoul National University Hospital

    lead OTHER

Principal Investigators

  • Juseok Ryu, M.D, PhD · Seoul National University Bundang Hospital

Eligibility

Min Age
19 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-04-07
Primary Completion
2024-12-18
Completion
2024-12-18

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 NCT05439447 on ClinicalTrials.gov