The impact of speech disorders quality of life: a questionnaire proposal

Lúcio, Gialile de Sá; Perilo, Tatiana Vargas de Castro; Vicente, Laélia Cristina Caseiro; Friche, Amélia Augusta de Lima

doi:10.1590/s2317-17822013.05000011

Cited by 8 publications

(6 citation statements)

References 9 publications

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“…As such, our results support less rigid recommendations for configuring facial sEMG sensors when used by healthy individuals to control a HMI. These results are encouraging for individuals requiring an alternate access method (e.g., adaptive scanners, brain interfaces, eye- or head-trackers) [46–48]. At present, one of the main clinically-used augmentative systems is eye-tracking [2, 49]; however, the calibration and setup processes for such systems are laborious, in that the level of support required to provide adequate control over the system is prohibitive [49, 50].…”

Section: Discussionmentioning

confidence: 97%

Prediction of Optimal Facial Electromyographic Sensor Configurations for Human–Machine Interface Control

Vojtech

Cler

Stepp

2018

IEEE Trans. Neural Syst. Rehabil. Eng.

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Surface electromyography (sEMG) is a promising computer access method for individuals with motor impairments. However, optimal sensor placement is a tedious task requiring trial-and-error by an expert, particularly when recording from facial musculature likely to be spared in individuals with neurological impairments. We sought to reduce the sEMG sensor configuration complexity by using quantitative signal features extracted from a short calibration task to predict human-machine interface (HMI) performance. A cursor control system allowed individuals to activate specific sEMG-targeted muscles to control an onscreen cursor and navigate a target selection task. The task was repeated for a range of sensor configurations to elicit a range of signal qualities. Signal features were extracted from the calibration of each configuration and examined via a principle component factor analysis in order to predict the HMI performance during subsequent tasks. Feature components most influenced by the energy and the complexity of the EMG signal and muscle activity between the sensors were significantly predictive of the HMI performance. However, configuration order had a greater effect on performance than the configurations, suggesting that non-experts can place sEMG sensors in the vicinity of usable muscle sites for computer access and healthy individuals will learn to efficiently control the HMI system.

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Section: Discussionmentioning

confidence: 97%

Prediction of Optimal Facial Electromyographic Sensor Configurations for Human–Machine Interface Control

Vojtech

Cler

Stepp

2018

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…In schoolchildren, malocclusion can lead to non-aesthetic traits, a poor lingual position, and, consequently, changes in speech, which can affect the quality of life. 2,3 In this context, malocclusion is an important predictor to be considered in the tongue position and speech disorders.…”

Section: Introductionmentioning

confidence: 99%

“…Between the main types of speech alterations, distortion (anterior and lateral lisp) is due to musculoskeletal, and for this reason, it is one of the interest in this study. 5 Although there are some studies in previous literature that evaluate the relationship among malocclusions with tongue position and speech distortion, 2,6,7,8,9 epidemiological studies with representative samples during mixed dentition using robust analysis methods are still scarce. 2,6,7,8,9 More studies are required to prove stronger associations between tongue-positioning and speech problems with From the lists of students, 1,559 children between 7 and 13 years old were invited to participate in the study.…”

Section: Introductionmentioning

confidence: 99%

Association between malocclusion, tongue position and speech distortion in mixed-dentition schoolchildren: an epidemiological study

et al. 2021

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Background: Malocclusions are highly prevalent in childhood and adolescence, being considered a public health problem worldwide, in addition to be considered an important predictor in the tongue position and speech disorders. Objective: Evaluate the association of malocclusions with tongue position and speech distortion in mixed-dentition schoolchildren from the south of Brazil. Methodology: This cross-sectional study was performed using a database of an epidemiological survey realized in the southern of Brazil, in 2015, for evaluating the dental and myofunctional condition of the mixed-dentition from 7-13 years' schoolchildren. The outcome variables were tongue position and speech distortion, evaluated by a trained and calibrated examiner. Characteristics regarding sociodemographic and oral health measures (Angle's classification of the malocclusion, overjet, overbite, posterior crossbite and respiratory mode) were also assessed. Poisson regression models with adjusted robust variance were used to evaluate the association among predictors variables in the outcomes. Results are presented as prevalence ratio (PR) and 95% confidence interval (95% CI). Results: A total of 547 children were evaluated. Schoolchildren who presented anterior open bite (PR 2.36 95%CI 1.59-3.49) and having oral/oral-nasal breathing (RP 2.51 95%CI 1.70-3.71) are more likely to have altered position of the tongue. Both deep bite and being male represent protection factors for the abnormal tongue position. Regarding speech distortion, deep overbite presents a protective relationship to speech distortion (PR 0.41; 95%CI 0.24-0.71), whereas schoolchildren with posterior crossbite were more likely to present this problem (PR 1.77; 95%CI 1.09-2.88). Conclusion: Anterior open bite and posterior crossbite were the malocclusions related to speech distortion and/or altered tongue position. Oral/oral-nasal breathing was also related to myofunctional changes. Deep bite malocclusion was a protective factor for both speech problems and altered tongue position when compared to a normal overbite.

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“…In Addition, speech difficulty is common, and it has an impact on psychosocial, social and academic development [4]. Also, a questionnaire on the impact of speech disorders quality of life was conducted, and it stated: "Speech difficulties can result in difficulties in the communication process, lead to social isolation, and affect quality of life" [5], so speech difficulty considered a major problem that can prevent people who have it from communicating with others, affects them academically and also their health. All people with Speech difficulty wish to have a way for their voice and speech to be understandable and clear.…”

Section: Introductionmentioning

confidence: 99%

Be My Voice Application for People with Speech Difficulties

Ali¹,

Fallatah²

2018

IJCA

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Speech Difficulties is the disability of producing speech sounds correctly or having problems with voice. The number of people that suffer from speech difficulties is about 7.5 million of different ages [1]. Speech difficulty is common and can happen out of nowhere or as a result of a medical problem. People with speech difficulties feel sad when others do not understand them or ask them to repeat what they said, sometimes it is a necessity to have someone by their side to help them in communicating. So, speech difficulty considered a major problem that has psychosocial, social and academic impact on people who have it. By using speech recognition and cloud computing to develop an android application that can translate incomprehensible speech into understandable speech and also may improve the pronunciation of words to help those people in communicating and their speech would be clear. Be my voice application will support android operating system and Arabic and English interfaces. It can help people with speech difficulties in communicating and to feel much better because it will allow people to understand them and all those people want is to be understood.

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The impact of speech disorders quality of life: a questionnaire proposal

Abstract: The questionnaire showed good reliability in identifying the impact of speech disorders on the individuals' quality of life.

Cited by 8 publications

References 9 publications

Prediction of Optimal Facial Electromyographic Sensor Configurations for Human–Machine Interface Control

Prediction of Optimal Facial Electromyographic Sensor Configurations for Human–Machine Interface Control

Association between malocclusion, tongue position and speech distortion in mixed-dentition schoolchildren: an epidemiological study

Be My Voice Application for People with Speech Difficulties

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