ArticleSleep & breathing = Schlaf & Atmung2021
Voice disorders in severe obstructive sleep apnea patients and comparison of two acoustic analysis software programs: MDVP and Praat.
Article in Sleep & breathing = Schlaf & Atmung, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 18 citations in OpenAlex.
- Vocal and Orofacial Myofunctional Characteristics of Individuals with Obstructive Sleep Apnea.Sleep science (Sao Paulo, Brazil) · 2025Article
- [Current methods of acoustic analysis of voice: a review].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2022Review
- Is There a Relationship between Voice Quality and Obstructive Sleep Apnea Severity and Cumulative Percentage of Time Spent at Saturations below Ninety Percent: Voice Analysis in Obstructive Sleep Apnea Patients.Medicina (Kaunas, Lithuania) · 2022Article
- Voice parameters for difficult mask ventilation evaluation: an observational study.Annals of translational medicine · 2021Article
- Acoustic analysis of vowels in patients with sleep apnea syndrome in sitting and supine positions.Sleep & breathing = Schlaf & Atmung · 2021Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveThe purposes of this study were to explore the effect of obstructive sleep apnea-hypopnea syndrome (OSAHS) on the voice by analyzing the acoustic parameters between patients with OSAHS and those without OSAHS and to compare acoustic analyses performed by two software programs (MDVP and Praat).
methodsPatients with OSAHS (n = 75) and normal controls (n = 46) were asked to produce a sustained sound of the vowel /i/ and were analyzed with electroglottography (EGG), MDVP, and Praat software. A self-rated scale (Voice Handicap Index, VHI-10) and acoustic parameters were compared.
resultsThere were no statistically significant differences in the fundamental frequency (F0), jitter, shimmer, noise/harmonic ratio (NHR), contact quotient perturbation (CQP), or contact index perturbation (CIP) between the patient group and the normal group. The VHI-10 values were significantly increased in patients with OSAHS. The receiver operating characteristic (ROC) analysis suggested that the shimmer obtained from MDVP and Praat possessed relatively high accuracy in differentiating patients with OSAHS from healthy individuals. The results for F0, jitter, shimmer, and NHR were significantly different between MDVP and Praat in OSAHS patients. In normal persons, there was a significant difference in NHR; however, no significant differences were found for F0, jitter, or shimmer between the two software programs. The results demonstrated that high correlations were found between values obtained by both software programs.
conclusionsPatients with OSAHS were prone to vibration irregularity, incomplete glottal closure, hoarseness, and other vocal problems. The two acoustic software programs present different values of acoustic measures. There was a strong correlation and consistency between the parameters calculated by the two software programs.
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