Multivariate Analysis of Vocal Fold Vibrations on Various Voice Disorders Using High-Speed Digital Imaging

Abstract

Although many quantitative parameters have been devised to describe abnormalities in vocal fold vibration, little is known about the priority of these parameters. We conducted a prospective study using high-speed digital imaging to elucidate disease-specific key parameters (KPs) to characterize the vocal fold vibrations of individual voice disorders. From 304 patients with various voice disorders and 46 normal speakers, high-speed digital imaging of a sustained phonation at a comfortable pitch and loudness was recorded and parameters from visual-perceptual rating, laryngotopography, digital kymography, and glottal area waveform were calculated. Multivariate analysis was then applied to these parameters to elucidate the KPs to explain each voice disorder in comparison to normal subjects. Four key parameters were statistically significant for all laryngeal diseases. However, the coefficient of determination (R2) was very low (0.29). Vocal fold paralysis (8 KPs, R2 = 0.76), sulcus vocalis (4 KPs, R2 = 0.74), vocal fold scarring (1 KP, R2 = 0.68), vocal fold atrophy (6 KPs, R2 = 0.53), and laryngeal cancer (1 KP, R2 = 0.52) showed moderate-to-high R2 values. The results identified different KPs for each voice disorder; thus, disease-specific analysis is a reasonable approach.

Segmentation of Glottal Images from High-Speed Videoendoscopy Optimized by Synchronous Acoustic Recordings

“…Similarly, the results for the mean value of SQ = 0.85 ± 0.21 obtained for the healthy female subjects are consistent with our results SQ = 0.77 ± 0.21. Also, in [55], in line with the studies discussed above, an elevated mean value of the OQ obtained for the patients with voice disorders was OQ = 0.84 ± 0.16 compared to healthy subjects OQ = 0.84 ± 0.16. Interestingly, and in contrast to the reviewed studies, in a recent work reporting an open platform for laryngeal high-speed videoendoscopy [29], very high values of the OQ were obtained for healthy subjects taking a mean value of 0.998.…”

“…2. The Closing Quotient (CQ) is the ratio between the duration of the closing phase and the phonation cycle interval [54,55]:…”

“…3. The Speed Quotient (SQ) is the ratio between the duration of the opening phase (t co ) and the closing phase (t oc ) [11,55]:…”

Special Issue on Computational Methods and Engineering Solutions to Voice II

“…However, often the clinical interpretation and meaningfulness of suggested parameters is not clear or entirely understood. The paper, authored by Yamauchi et al [1], applies multivariate analysis to find key parameters reflecting specific voice disorders. They determined and described different key parameters for vocal fold paralysis, sulcus vocalis, vocal fold scarring, atrophy and laryngeal cancer, showing that different disorders are reflected in different parameters.…”

What Are the Contemporary Trends on Euphonic Voice Research? A Scientometric Analysis

“…Voice is the sound produced in the larynx by the vibration of the mucosa of the vocal folds as air from the lungs passes through the vocal tract [ 5 , 6 , 7 ], characterized by acoustic and perceptual parameters such as the pitch, intensity, vocal quality, and resonance [ 8 ]. As vocal fold vibration is the main generator of glottal sound, its evaluation is fundamental for the detection, diagnosis, and treatment of vocal pathology [ 9 ]. At an objective level, voice presents an almost periodic behavior observable in the glottal or acoustic origin signals through acoustic analysis programs such as spectrograms or cepstrograms [ 10 ].…”