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Article Abstract

: This study aimed to investigate the relationships between kymographic parameters derived from high-speed videoendoscopy (HSV) and simultaneously recorded acoustic signals. The research provides insights into the vibratory dynamics of various glottal pathologies, assessed across different glottal widths, and their mutual relations with audio data. : The study included 192 participants categorized as normophonic or having functional or organic lesions (benign, premalignant, and malignant). Parameters describing vocal fold oscillations were calculated using HSV kymography for three glottal widths, along with corresponding acoustic data. Initially, linear correlations between these parameters were assessed. Next, the consistency in cycle detection and its influence on the correlation levels were evaluated. : The fundamental frequency (F0) and mean Jitter (Jita) showed the highest correlations between the HSV- and audio-determined parameters (F0: 0.97, Jita: 0.40-0.70), with even stronger correlations when the number of detected cycles was consistent (F0: 0.99, Jita: 0.68-0.98). The correlations for other parameters ranged from low to moderate, with no significant differences observed between the diagnostic subgroups (functional changes and benign and malignant glottal lesions). However, in the premalignant lesions group, high correlations (0.77-0.9) were observed between the HSV and audio parameters, but only for measures describing period perturbations. Beyond F0 and mean Jitter, consistency in cycle detection did not significantly affect correlation levels. : The simultaneous audio signal proved useful in verifying the accuracy of HSV quantification measures, particularly for F0, which showed strong agreement between the methods. Discrepancies in other parameters and low correlations between HSV-derived kymography and audio data may suggest the influence of the throat, mouth, and nose resonators, which are added to the glottal signal. While the kymographic analysis based on HSV provides detailed descriptions of vocal fold oscillations, it does not fully capture the three-dimensional structure and complex functionality of the vocal folds.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11852736PMC
http://dx.doi.org/10.3390/biomedicines13020511DOI Listing

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