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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.

Deglutition Disorders Clinical Trial

Official title:
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.

Clinical Trial 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.

Clinical Trial Description

- Design : Prospective cohort study - Setting : Hospital rehabilitation department - Inclusion criteria of the patient group : Patients scheduled for VFSS examination - Intervention - This study will be conducted after collecting basic information such as age, gender, and disease of patients who met the inclusion criteria among patients scheduled to undergo a video fluoroscopic swallowing test (VFSS test) for the diagnosis of dysphagia, and after obtaining guidance and consent through the study description will do. - Before the subject's VFSS test, "Ah for 5 seconds", after clearing the throat, "Ah for 5 seconds", and briefly cut with a slightly high sound, "Ah. oh Ah.", shut lips lightly and read "Ummm~~~~", read a short sentence. - While the subject makes the above sound, voice is recorded, video is taken, and integrated sensors such as a microphone (sound detection) sensor and surface electromyography sensor are attached to measure changes in each sensor. - After the VFSS test, participants will repeat the above sound and record the same twice. (As before the test, imaging of the patient's swallowing is also performed.) - Using voice analysis, various sensor values, and image information, a voice indicator that can predict the amount of suction and residue on the VFSS test is found. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05439447
Study type Observational
Source Seoul National University Hospital
Contact Juseok Ryu, M.D, PhD
Phone +82-31-787-7739
Email jseok337@snu.ac.kr
Status Recruiting
Phase
Start date October 7, 2022
Completion date December 31, 2024
View Details
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