An observational study in Respiration Disorders, Swallowing Disorder and Phonation Disorder, sponsored by The Catholic University of Korea. Completed at 1 site in Korea, Republic of. Open to participants aged 19 Years to 90 Years. Per ClinicalTrials.gov, last updated 2021-10-28.
Sponsored by The Catholic University of Korea · Observational
In this prospective study we extracted acoustic parameters using PRAAT from patient's attempt to phonate during the clinical evaluation using a digital smart device. From these parameters we attempted (1) to define which of the PRAAT acoustic features best help to discriminate patients with dysphagia (2) to develop algorithms using sophisticated ML techniques that best classify those i) with dysphagia and those ii ) at high risk of respiratory complications due to poor cough force.
This study was prospective study, and patients who visited the department of rehabilitation medicine in a single university-affiliated tertiary hospital with dysphagic symptoms from September 2019 to March 2021 were included.Voice recording was performed at the enrollment with blinded assessment, where the participants first visited the rehabilitation department with chief complaints of dysphagia. The cough sounds were recorded with an iPad (Apple, Cupertino, CA, USA) through an embedded microphone.
From the acoustic files we extracted fourteen voice parameters that include the average value and standard deviation of the fundamental frequency (f0), harmonic-to-noise ratio (HNR), the jitter that refers to frequency instability, and the shimmer that represents the amplitude instability of the sound signal.
Machine learning algorithms and sophisticated deep neural network analysis will be performed.
First ever stroke patients referred for swallowing disorders
Inclusion Criteria:
Exclusion Criteria:
Able to start oral feeding after assessment
Other: Acoustic features (from signals obtained during phonation)
Non oral feeding and high risk of aspiration
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
Functional Oral Intake Scale
Dysphagia severity as measured by the the Functional Oral Intake Scale obtained from standardized swallowing tests
Time frame: during the intervention
Cough strength
Spirometry values : cough strength as measured by the spirometric values during voluntary cough
Time frame: during the intervention
Plan to share: No — Data would be accessible only upon formal request to the formal PI
No publications or documents are linked to this record.
This study is completed, as verified in Oct 2021. You cannot join it, but the record below documents what was studied.
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The Catholic University of Korea