Electroglottographic and acoustic analysis of voice in children with vocal nodules

Szklanny, Krzysztof; Gubrynowicz, Ryszard; Ratyńska, Joanna; Chojnacka-Wądołowska, Danuta

doi:10.1016/j.ijporl.2019.03.030

Cited by 9 publications

(6 citation statements)

References 28 publications

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“…Se ha comprobado que las voces hipofuncionales tienen menos calidad resonancial [55,56], es decir que tendrían valores de CPP más bajos con respecto a voces normales [13]. En el caso de las voces hiperfuncionales, el comportamiento de esta variable dependerá del grado de aducción de los pliegues vocales (EGG) [57][58][59][60] -lo cual corresponde directamente al cierre glótico y, por tanto, también al PTP [48]-así que, es muy probable que en voces hiperfuncionales el valor del CPP esté por debajo de los de voces normales. Esto debería ser un punto para investigar en futuros estudios.…”

Section: Discussionunclassified

Parámetros vocales para definir la severidad de una disfonía

Mora

2020

Rev. Investig. Innov. Cienc. Salud

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Introducción: la severidad de una disfonía da cuenta del grado de alteración que tiene una voz en relación con todos los procesos fisiológicos involucrados con la producción del sonido. Es importante determinar el nivel de severidad a fin de establecer un programa con el conjunto de ejercicios que permitan una rehabilitación apropiada. Objetivo: comprender si el comportamiento de los diferentes parámetros aerodinámicos, electroglotográficos, acústicos y de autorreporte vocal permite o no determinar la severidad de una disfonía. Método: se evaluaron 55 sujetos con diferentes tipos de disfonía según parámetros aerodinámicos, electroglotográficos, acústicos y de autorreporte vocal. La muestra fue dividida en 3 grupos de acuerdo con el grado de gravedad de la patología. Se aplicó un análisis de varianza para comparar el comportamiento de las variables dependientes en relación con los niveles de severidad de la disfonía. Con el fin de determinar las diferencias entre estos niveles, se aplicó la prueba Post hoc (Tukey) a las variables significativas. Resultados: es posible determinar el nivel de severidad de una disfonía a partir de parámetros acústicos como el CPP, HNR y el cociente de pendiente espectral 1/5-5/8Khz. También se puede hacer por medio de cuestionarios de autorreporte vocal como el VOISS, el VHI y el VTDS.

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Section: Discussionunclassified

Parámetros vocales para definir la severidad de una disfonía

Mora

2020

Rev. Investig. Innov. Cienc. Salud

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“…This is consistent with the results of our study, as the employed acoustic and EGG parameters are state of the art. They also prove effective in the assessment of voice quality in children with vocal nodules and patients with rare genetic disorders, such as Pompe disease or MPS IV [25]- [28].…”

Section: Discussionmentioning

confidence: 99%

“…Recordings of patients with vocal nodules (group 1) from VPADB, and recordings of healthy children (group 2) from VPADB and SVD were used to carry out a perceptual assessment and to check whether it was possible to distinguish between the different degrees of deviation on the RBH scale using acoustic parameters that were effectively used in Pompe disease [25], [26], MPS [27] and vocal nodules [28]. Group 1 consisted of 57 patients with vocal nodules, aged 5-14 (with the average age of 8.7), including 30 boys and 27 girls.…”

Section: Patients Diagnosis and Recordingsmentioning

confidence: 99%

“…In the acoustic analysis we used the Peak Slope parameter and the Normalized Amplitude Quotient parameter, while in the electroglottographic analysis we used the Closed Quotient parameter. These parameters are successfully used to evaluate voice quality in children with vocal nodules and in patients with rare genetic disorders, such as Pompe disease or MPS IV (Morquio syndrome) [25]- [28]. The test results not only indicated compliance with a medical diagnosis but also enabled a more detailed analysis of the functioning of the vocal folds.…”

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confidence: 99%

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Relation of RBH Auditory-Perceptual Scale to Acoustic and Electroglottographic Voice Analysis in Children With Vocal Nodules

Szklanny

Wrzeciono

2019

IEEE Access

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The aim of this paper was to present an analysis of the feasibility of voice quality prediction on the roughness, breathiness, hoarseness (RBH) scale for children with vocal nodules on the basis of both acoustic parameters and electroglottographic (EGG) examination. The first step to achieve this goal involved the creation of a dedicated database, Voice Pathology Analysis Database (VPADB), containing voice recordings from patients, the EGG signal, medical diagnosis, and the classification of voice quality on the above-mentioned scale. The database also contains data concerning the patients' age and sex. The next step involved performing statistical analyses to test the relationship between the values of objective parameters, such as peak slope and normalized amplitude quotient, and the classification of voice quality. The study made use of voice recordings of 57 patients with vocal nodules and 37 healthy individuals. The RBH classification was carried out by two independent voice specialists. It was found that speech signal parameters can be used to predict expert evaluation with regard to roughness and hoarseness.INDEX TERMS Vocal nodules, acoustic database, voice quality, acoustic analysis, electroglottography. I. INTRODUCTION

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“…The paper [48] presents an acoustic method that enables a detection of vocal nodules and helps evaluate glottal insufficiency using acoustic and electroglottographic analysis. The obtained results are compatible with phoniatric diagnosis.…”

Section: A Comparison With Other Signal Classification Methodsmentioning

confidence: 99%

The Application of a Genetic Algorithm in the Noninvasive Assessment of Vocal Nodules in Children

Szklanny

Wrzeciono

2019

IEEE Access

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The application of IT solutions in medicine makes it possible to develop new, more accurate, and noninvasive medical diagnostics. The aim of this study was to propose this kind of solution. It enables the accurate assessment of vocal nodules in children while measuring glottal insufficiency. The input data includes voice and electroglottographic recordings of patients' voices as well as diagnoses made by practitioners. The recordings were parameterized and used to develop a classifier to assess glottal insufficiency of vocal nodules. The classifier was designed with the help of a genetic algorithm. The diagnoses established thanks to the classifier show a 92% agreement with those reached through medical examination. Such effective performance renders the classifier a useful noninvasive screening tool. We compared our method with Deep Neural Network classifier and the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) evolutionary algorithm. The solution that we propose offers a more accurate continuous diagnosis in comparison with the discrete diagnosis of a deep neural network as well as greater accuracy in relation to the CMA-ES algorithm. Another advantage of the proposed solution is the ease with which it can be implemented by healthcare professionals. A Visual Basic for the Applications (VBA) code for LibreOffice macro for the classifier is attached at the end of this paper.

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Electroglottographic and acoustic analysis of voice in children with vocal nodules

Cited by 9 publications

References 28 publications

Parámetros vocales para definir la severidad de una disfonía

Parámetros vocales para definir la severidad de una disfonía

Relation of RBH Auditory-Perceptual Scale to Acoustic and Electroglottographic Voice Analysis in Children With Vocal Nodules

The Application of a Genetic Algorithm in the Noninvasive Assessment of Vocal Nodules in Children

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