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Academic literature on the topic 'Quick Assessment for Dysarthria'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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Journal articles on the topic "Quick Assessment for Dysarthria"

1

Noorsham, Abdul Haleem, Mohamad Muhaimin Abdullah, Sanihah Abdul Halim, Abdul Rahman Izaini Ghani, Zamzuri Idris, and Jafri Malin Abdullah. "Neurological Examination Techniques of Speech in Bahasa Malaysia for Adults: Simple Approach Practiced in Hospital Universiti Sains Malaysia." Malaysian Journal of Medical Sciences 27, no. 6 (2020): 148–82. http://dx.doi.org/10.21315/mjms2020.27.6.14.

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There are four classification levels for speech disorders namely dysphonia, dysarthria, dysprosody and dysphasia. In general, speech examination mainly focuses on three main components that are spontaneous speech, auditory comprehension, and oral motor examination. Quick bedside assessment on speech in Bahasa Malaysia is essential to assist the speech language therapist (SLT) and other physicians to determine the disorders. Speech therapy is also essential in monitoring and continuous assessment for patients with speech and language disorders such as dysphasia and dysarthria. Speech clinicians in Hospital Universiti Sains Malaysia (HUSM) have been adapting two most widely used batteries of speech assessment tools namely Western aphasia battery-revised (WAB-R) by Andrew Kertesz and Boston diagnostic aphasia examination (BDAE). These tools have been modified into simple and validated speech assessments in Bahasa Malaysia. This video manuscript will demonstrate the use of both tools in performing bedside speech assessment for patients with speech disorders. The Bahasa Malaysia speech examination should not be difficult when WAB-R and BDAE speech assessment tools are applied. The aim of this simple approach using the adapted version of BDAE and WAB-R is to assist the clinician to achieve quick and accurate diagnosis with a validated scoring system.

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Shiina, Hidetaka, and Makoto Kariyasu. "Assessment of Dysarthria." Japan Journal of Logopedics and Phoniatrics 60, no. 4 (2019): 286–94. http://dx.doi.org/10.5112/jjlp.60.286.

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Hustad, Katherine, David Beukelman, and Kathryn Yorkston. "Functional Outcome Assessment in Dysarthria." Seminars in Speech and Language 19, no. 03 (1998): 291–302. http://dx.doi.org/10.1055/s-2008-1064051.

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4

Hernandez, Abner, Sunhee Kim, and Minhwa Chung. "Prosody-Based Measures for Automatic Severity Assessment of Dysarthric Speech." Applied Sciences 10, no. 19 (2020): 6999. http://dx.doi.org/10.3390/app10196999.

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One of the first cues for many neurological disorders are impairments in speech. The traditional method of diagnosing speech disorders such as dysarthria involves a perceptual evaluation from a trained speech therapist. However, this approach is known to be difficult to use for assessing speech impairments due to the subjective nature of the task. As prosodic impairments are one of the earliest cues of dysarthria, the current study presents an automatic method of assessing dysarthria in a range of severity levels using prosody-based measures. We extract prosodic measures related to pitch, speech rate, and rhythm from speakers with dysarthria and healthy controls in English and Korean datasets, despite the fact that these two languages differ in terms of prosodic characteristics. These prosody-based measures are then used as inputs to random forest, support vector machine and neural network classifiers to automatically assess different severity levels of dysarthria. Compared to baseline MFCC features, 18.13% and 11.22% relative accuracy improvement are achieved for English and Korean datasets, respectively, when including prosody-based features. Furthermore, most improvements are obtained with a better classification of mild dysarthric utterances: a recall improvement from 42.42% to 83.34% for English speakers with mild dysarthria and a recall improvement from 36.73% to 80.00% for Korean speakers with mild dysarthria.

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Altaher, Abeer Muneer, Shin Ying Chu, Rahayu binti Mustaffa Kam, and Rogayah A. Razak. "A Report of Assessment Tools for Individuals with Dysarthria." Open Public Health Journal 12, no. 1 (2019): 384–86. http://dx.doi.org/10.2174/1874944501912010384.

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Introduction:The development of assessment tools for individuals with dysarthria has been reported in many clinical and empirical studies.Methodology:A literature review was based on online resources including Google Scholar, EBSCO, Medline, PubMed, and BIOMED Central articles and journals.Results and Conclusion:In this paper, we summarized the commonly used formal and informal assessment tools and explained the assessment procedure when managing clients with dysarthria. We aimed to share the current practice of speech-language pathologists together with the allied health service providers in the management of patients with dysarthria.

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6

Schölderle, Theresa, Elisabet Haas, and Wolfram Ziegler. "Age Norms for Auditory-Perceptual Neurophonetic Parameters: A Prerequisite for the Assessment of Childhood Dysarthria." Journal of Speech, Language, and Hearing Research 63, no. 4 (2020): 1071–82. http://dx.doi.org/10.1044/2020_jslhr-19-00114.

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Purpose The aim of this study was to collect auditory-perceptual data on established symptom categories of dysarthria from typically developing children between 3 and 9 years of age, for the purpose of creating age norms for dysarthria assessment. Method One hundred forty-four typically developing children (3;0–9;11 [years;months], 72 girls and 72 boys) participated. We used a computer-based game specifically designed for this study to elicit sentence repetitions and spontaneous speech samples. Speech recordings were analyzed using the auditory-perceptual criteria of the Bogenhausen Dysarthria Scales, a standardized German assessment tool for dysarthria in adults. The Bogenhausen Dysarthria Scales (scales and features) cover clinically relevant dimensions of speech and allow for an evaluation of well-established symptom categories of dysarthria. Results The typically developing children exhibited a number of speech characteristics overlapping with established symptom categories of dysarthria (e.g., breathy voice, frequent inspirations, reduced articulatory precision, decreased articulation rate). Substantial progress was observed between 3 and 9 years of age, but with different developmental trajectories across different dimensions. In several areas (e.g., respiration, voice quality), 9-year-olds still presented with salient developmental speech characteristics, while in other dimensions (e.g., prosodic modulation), features typically associated with dysarthria occurred only exceptionally, even in the 3-year-olds. Conclusions The acquisition of speech motor functions is a prolonged process not yet completed with 9 years. Various developmental influences (e.g., anatomic–physiological changes) shape children's speech specifically. Our findings are a first step toward establishing auditory-perceptual norms for dysarthria in children of kindergarten and elementary school age. Supplemental Material https://doi.org/10.23641/asha.12133380

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7

Brown, Katherine, and Kristie Spencer. "Dysarthria following Stroke." Seminars in Speech and Language 39, no. 01 (2018): 015–24. http://dx.doi.org/10.1055/s-0037-1608852.

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AbstractDysarthria is a common consequence of stroke and can have a detrimental influence on communication and quality of life. Speech-language pathologists (SLPs) play an important role in the evaluation and rehabilitation of stroke survivors who present with dysarthria. An understanding of the physiologic reason behind the altered speech characteristics, such as weakness or incoordination, can facilitate differential diagnosis, guide evaluation strategies, and influence treatment approaches. An initial comprehensive speech evaluation is comprised of examination of the speech mechanism, screening of speech subsystems, perceptual assessment, and intelligibility measurement. Management strategies focus on optimizing communication through compensatory strategies as well as providing physiologic support. The SLP is also responsible for educating family and staff regarding strategies that can facilitate communication.

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Bunton, Kate, Ray D. Kent, Jane F. Kent, and John C. Rosenbek. "Perceptuo-acoustic assessment of prosodic impairment in dysarthria." Clinical Linguistics & Phonetics 14, no. 1 (2000): 13–24. http://dx.doi.org/10.1080/026992000298922.

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9

Knuijt, Simone, Johanna G. Kalf, Baziel G. M. van Engelen, Bert J. M. de Swart, and Alexander C. H. Geurts. "The Radboud Dysarthria Assessment: Development and Clinimetric Evaluation." Folia Phoniatrica et Logopaedica 69, no. 4 (2017): 143–53. http://dx.doi.org/10.1159/000484556.

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10

Cummins, Fred, Anja Lowit, and Frits van Brenk. "Quantitative Assessment of Interutterance Stability: Application to Dysarthria." Journal of Speech, Language, and Hearing Research 57, no. 1 (2014): 81–89. http://dx.doi.org/10.1044/1092-4388(2013/12-0374).

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Purpose Following recent attempts to quantify articulatory impairment in speech, the present study evaluates the usefulness of a novel measure of motor stability to characterize dysarthria. Method The study included 8 speakers with ataxic dysarthria (AD), 16 speakers with hypokinetic dysarthria (HD) as a result of Parkinson's disease, and 24 unimpaired control participants. Each participant performed a series of sentence repetitions under habitual, fast, and slow speaking rate conditions. An algorithm to measure utterance-to-utterance spectro-temporal variation (UUV; Cummins, 2009) was used. Speech rate and intelligibility were also measured. Results UUV scores were significantly correlated with perceptually based intelligibility scores. There were significant differences in UUV between control speakers and the AD but not the HD groups, presumably because of differences in intelligibility in the samples used and not because of differences in pathology. Habitual speaking rate did not correlate with UUV scores. All speaker groups had greater UUV levels in the slow conditions compared with habitual and fast speaking rates. Conclusions UUV results were consistent with those of other variability indices and thus appear to capture motor control issues in a similar way. The results suggest that the UUV could be developed into an easy-to-use clinical tool that could function as a valid and reliable assessment and outcome measure.

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