Immersive Virtual Reality Meditation in Voice Therapy
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Bradley R Hoff, MA, CCC-SLP · PRINCIPAL_INVESTIGATOR · Icahn School of Medicine at Mount Sinai, Department of Otolaryngology
- Ümit Daşdöğen, Ph.D., CCC-SLP · STUDY_DIRECTOR · Icahn School of Medicine at Mount Sinai, Department of Otolaryngology
Who to contact
This trial hasn't published a contact. View it on ClinicalTrials.gov
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Inclusion
What this trial measures
- Maximum Phonation Time (MPT)at each therapy session (approximately 1 week apart over 4 weeks)
MPT will be used to assess participants' maximum phonation time. The speech evaluator instructs the patient to take a comfortable breath and then produce the sound /a/ for as long as possible. The task is performed twice, and the maximum duration of the two measurements is used.
- Noise-to-Harmonic Ratio (NHR)Pre-intervention (within 1 week before first session) and post-intervention (within 1 week after final session
NHR is a parameter in MDVP that represents ratio of non-harmonic and harmonic waves in a certain sound wave period. NHR describes the quality of the amount of noise in the sound. Inadequate closure of the vocal cords and periodic vibrations of the vocal cords cause excessive air flow as it passes through the vocal cords, causing turbulence and noise. Normal and periodic sound signals will have a small NHR, while dysphonia sound signals will have a large NHR value.
- Cepstral Peak Prominence (CPPS)Pre-intervention (within 1 week before first session) and post-intervention (within 1 week after final session
Cepstral Peak Prominence (CPPS) is an indicator of voice quality. It is measured in decibels. An increase in CPPS value indicates an improvement in voice symptoms.
- Acoustic Vocal Quality Index (AVQI)Pre-intervention (within 1 week before first session) and post-intervention (within 1 week after final session
The acoustic voice quality index (AVQI) is a multiparametric score to quantify vocal quality. It is based on a weighted combination of 6 voice parameters: smoothed cepstral peak prominence (CPPS), harmonics-to-noise ratio (HNR), shimmer local (SL), shimmer local dB (SLdB), general slope of the spectrum (slope) and tilt of the regression line through the spectrum (tilt). The formula is constructed as 9.072 - 0.245 × CPPs - 0.161 × HNR - 0.470 × SL + 6.158 × SLdB - 0.071 × Slope - 0.170 × Tilt and ranges from 0 to 10. A lower score correlates with a better vocal quality.