Artificial Intelligence in Diagnosing Dysphagia Patients

CompletedOBSERVATIONAL
Enrollment

449

Participants

Timeline

Start Date

September 1, 2019

Primary Completion Date

September 1, 2021

Study Completion Date

October 1, 2021

Conditions
Respiration DisordersSwallowing DisorderPhonation DisorderStrokeAspiration PneumoniaAspiration; Liquids
Interventions
OTHER

Acoustic features (from signals obtained during phonation)

"Acoustic features will be obtained via phonation files.~A voice recorder application provided by Apple was used, and the sampling frequency of the sound was 44,100 Hz. The digitized cough sound signals were band-pass-filtered between 20 to 16,000 Hz to use data from the whole frequency band gathered by the iPad. In each case, the smart device was positioned 20cm from the patient"

Trial Locations (1)

Unknown

Department of Rehabilitation Medicine Bucheon St Mary's Hospital, Catholic University of Korea, College of Medicine, Bucheon-si

All Listed Sponsors
lead

The Catholic University of Korea

OTHER

NCT05098808 - Artificial Intelligence in Diagnosing Dysphagia Patients | Biotech Hunter | Biotech Hunter