Clinical Analysis Methods of Voice Disorders

Ziethe, Anke; Patel, Rita R.; Eysholdt, Ulrich; Graf, Simone

doi:10.2174/157489311796904682

Cited by 23 publications

(24 citation statements)

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“…The main disadvantages of HSE are the high acquisition costs and a lower image quality than Stroboscopy 13 . Up till now, there are no standardized and widely accepted techniques or parameters for an objective evaluation of HSE videos 14 . However, several research groups have already initiated the objective evaluation of HSE data 11,13,14 …”

Section: Introductionmentioning

confidence: 99%

Analysis of Vocal Fold Function From Acoustic Data Simultaneously Recorded With High-Speed Endoscopy

et al. 2012

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SummaryAcoustic and endoscopic voice assessments are routinely performed to determine the vocal fold vibratory function as part of the voice assessment protocol in clinics. More often than not these data are separately recorded, resulting in information being obtained from two different phonation segments and an increase of time for the voice evaluation process. This study explores the use of acoustic data, simultaneously recorded during high-speed endoscopy (HSE), for the evaluation of vocal fold function.Patients and MethodsHSE and acoustic data were recorded from the subjects simultaneously during sustained phonation. The data included voices of 73 healthy subjects, 148 paresis, 210 functional dysphonias, and 119 benign lesions of vocal folds. For this study, only acoustic data were analyzed using Dr. Speech software (Tiger electronics Inc., MA). Twelve parameters were computed; 82% of the acoustic voice recordings could be analyzed. Statistical analysis was performed with SPSS 17.0.ResultsAcoustic data was easily recorded simultaneously allowing analyses of the same phonation segment to determine vocal fold function and therefore eliminating the need for another voice recording. The acoustic voice parameters differed between genders in the healthy voice group. Most of the parameters showed significant differences between healthy and pathological groups.ConclusionSimultaneously recorded endoscopic and acoustic data is valuable. Differentiation between healthy and pathological groups was possible using acoustic data only. We suggest that the synchronously recorded acoustic signal is of sufficient quality for objective analysis yielding reduced examination time.

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Section: Introductionmentioning

confidence: 99%

Analysis of Vocal Fold Function From Acoustic Data Simultaneously Recorded With High-Speed Endoscopy

et al. 2012

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“…These experimental techniques were extensively used to characterize the vocal-fold vibrations during human phonation (e.g. see a review by Ziethe et al [28]). By contrast, however, the glottal variations during different human breathing regimes have been barely investigated so far.…”

Section: Introductionmentioning

confidence: 99%

Realistic glottal motion and airflow rate during human breathing

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Boiron

et al. 2015

Medical Engineering & Physics

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“…Different methods, such as perceptual, acoustic, as well as aerodynamic and physiological evaluations, using computer and laboratory developed equipment, are used to evaluate phonation subsystem disorders (9). Of these, acoustic evaluations are widely used in non-invasive methods in clinical and research departments.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Dysphonia Severity Index and its Parameters Among Individuals with Multiple Sclerosis and Healthy Subjects

et al. 2018

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Background: Concerning demyelination's process in multiple sclerosis (MS), speech changes often occur earlier than other symptoms; thus early diagnosis of these changes is necessary. According to recent studies, phonation subsystem appears with the most symptoms compared with other subsystems, especially in the initial stages. In this study, the researchers aimed at comparing these symptoms in MS patients with healthy people using dysphonia severity index (DSI) and its parameters. Methods: This study was conducted on 40 MS patients and 20 healthy individuals in Ahvaz city. The subjects were asked to phonate vowel /a/ for calculating maximum phonation time (MPT), maximum F0, jitter, minimum intensity, and DSI score with the Praat software. For statistical analysis of data, Kolmogorov-Smirnov and independent t-test were used.

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Clinical Analysis Methods of Voice Disorders

Cited by 23 publications

References 0 publications

Analysis of Vocal Fold Function From Acoustic Data Simultaneously Recorded With High-Speed Endoscopy

Analysis of Vocal Fold Function From Acoustic Data Simultaneously Recorded With High-Speed Endoscopy

Realistic glottal motion and airflow rate during human breathing

Comparison of Dysphonia Severity Index and its Parameters Among Individuals with Multiple Sclerosis and Healthy Subjects

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