Results 51 to 60 of about 3,785,318 (292)

Turkish Validity and Reliability Study of the Speech, Spatial and Qualities of Hearing Scale

open access: yesTurkish Archives of Otorhinolaryngology, 2021
Objective:The Speech, Spatial and Qualities of Hearing Scale (SSQ) is a self-report scale that evaluates hearing in complex daily life situations in the areas of hearing quality, speech perception, and spatial perception.
Nurcan Kılıç   +4 more
doaj   +1 more source

Risk Factors for Voice Disorders among Fado Singers: A Cross-Sectional Study

open access: yesJournal of Otorhinolaryngology, Hearing and Balance Medicine, 2023
Fado is an urban Portuguese musical style rooted in popular culture. Previously found data suggests that Fado singers may have an increased risk of developing voice disorders.
Pedro Pestana   +2 more
doaj   +1 more source

Voice Disorders: Etiology and Diagnosis [PDF]

open access: yesJournal of Voice, 2016
Voice disorders affect adults and children and have different causes in different age groups. The aim of the study is to present the etiology and diagnosis dysphonia in a large population of patients with this voice disorder.for dysphonia of a large population of dysphonic patients.We evaluated 2019 patients with dysphonia who attended the Voice ...
Regina Helena Garcia Martins   +5 more
openaire   +3 more sources

Relevant Work Factors Associated with Voice Disorders in Early Childhood Teachers: A Comparison between Kindergarten and Elementary School Teachers in Yancheng, China

open access: yesInternational Journal of Environmental Research and Public Health, 2020
Background: Early childhood teachers consist of kindergarten and elementary school teachers in the lower grades. Young children at school may increase the vocal load of these teachers.
Yaping Tao   +3 more
semanticscholar   +1 more source

Meta-analysis of voice disorders databases and applied machine learning techniques.

open access: yesMathematical biosciences and engineering : MBE, 2020
Background and Objective: Voice disorders are pathological conditions that directly affect voice production. Computer based diagnosis may play a major role in the early detection and in tracking and even development of efficient pathological speech ...
S. Syed, Munaf Rashid, S. Hussain
semanticscholar   +1 more source

Understanding the nature of apraxia of speech: Theory, analysis, and treatment

open access: yesNeuropsychological Trends, 2010
Researchers have interpreted the behaviours of individuals with acquired apraxia of speech (AOS) as impairment of linguistic phonological processing, motor control, or both.
Kirrie J. Ballard   +2 more
doaj   +1 more source

Acoustic parameters for the evaluation of voice quality in patients with voice disorders.

open access: yesAnnals of Palliative Medicine, 2020
BACKGROUND To investigate the value of the standard deviation of the fundamental frequency (F0 SD), jitter, and shimmer for the evaluation of voice quality and the description of vocal characteristics in patients with voice disorders.
Gelin Li   +4 more
semanticscholar   +1 more source

LSVT LOUD and LSVT BIG: Behavioral Treatment Programs for Speech and Body Movement in Parkinson Disease

open access: yesParkinson's Disease, 2012
Recent advances in neuroscience have suggested that exercise-based behavioral treatments may improve function and possibly slow progression of motor symptoms in individuals with Parkinson disease (PD).
Cynthia Fox   +3 more
doaj   +1 more source

Maximal mouth opening in infants and toddlers with spinal muscular atrophy: a prospective controlled study

open access: yesOrphanet Journal of Rare Diseases
Background Bulbar function is frequently impaired in patients with spinal muscular atrophy (SMA). Although extremely important for the patient’s quality of life, it is difficult to address therapeutically. Due to bulbar dysfunction, maximum mouth opening
Jana Zang   +8 more
doaj   +1 more source

Beyond averaging: A transformer approach to decoding event related brain potentials

open access: yesNeuroImage
The objective of this study is to assess the potential of a transformer-based deep learning approach applied to event-related brain potentials (ERPs) derived from electroencephalographic (EEG) data. Traditional methods involve averaging the EEG signal of
Philipp Zelger   +6 more
doaj   +1 more source

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