The Evaluation of Abnormal Voice Qualities in Patients with Amyotrophic Lateral Sclerosis

Tomik, Jerzy; Tomik, Barbara; Wiatr, Maciej; Składzień, Jacek; Stręk, Paweł; Szczudlik, Andrzej

doi:10.1159/000381956

Cited by 23 publications

(11 citation statements)

References 19 publications

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“…Voice hoarseness, voice roughness, and increased jitter were noticed in ALS patients. Chiaramonte et al [18] and Tomik et al [19] both evaluated the abnormal voice qualities in patients with ALS via a multidisciplinary approach, and despite the distinct methods that were used in each, both demonstrated similar results. One of the most interesting aspects identified by Tomik et al [19] was the fact that differences were detected between male and female results.…”

Section: Discussionmentioning

confidence: 99%

“…Chiaramonte et al [18] and Tomik et al [19] both evaluated the abnormal voice qualities in patients with ALS via a multidisciplinary approach, and despite the distinct methods that were used in each, both demonstrated similar results. One of the most interesting aspects identified by Tomik et al [19] was the fact that differences were detected between male and female results. In the VLS exam, while the voice range was significantly smaller among male patients with ALS, female patients showed decreased voice range with lowering of the maximum voice frequency.…”

Section: Discussionmentioning

confidence: 99%

“…From these we have made a manual analysis of the titles/abstracts; the excluded articles were merely about voice symptoms in ALS and not about using voice analysis in ALS assessment. The remaining 7 articles and related references constitute the main object of this review [16][17][18][19][20][21]25].…”

Section: Methodsmentioning

confidence: 99%

“…Early diagnosis is crucial for a better prognosis in the treatment of the disease and, to date, no other method offers such low cost and simplicity as voice-assisted diagnosis. Hence, evaluation of speech and speaking performance may be well suited for ALS early detection and monitoring [15][16][17][18][19][20][21]. In fact, in a large cohort, more than 33% of patients reported to have dysarthria problems [22].…”

Section: Diagnosis and Impact On Phonation Processmentioning

confidence: 99%

“…The problem of evaluating abnormal voice qualities in patients with ALS was also tackled in the study of Tomik et al [19]. For their study, 17 patients with ALS were evaluated using perceptual voice assessment videolaryngostroboscopy (VLS) including voice range and maximum phonation time (a clinical measurement of the longest time one can phonate a vowel, typically 25-35 for males and 15-25 for females), and objective acoustic voice analysis with IRIS software (including evaluation of jitter, shimmer, mean f 0 , and NHR (quantifies the relative amount of additive noise in relation to pure harmonic content).…”

Section: Stage 2 Definition Of Article Search and Selection Strategiesmentioning

confidence: 99%

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Voice-Based Classification of Amyotrophic Lateral Sclerosis: Where Are We and Where Are We Going? A Systematic Review

et al. 2019

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Background: Amyotrophic lateral sclerosis (ALS) is a fatal progressive motor neuron disease. People with ALS demonstrate various speech problems. Summary: We aim to provide an overview of studies concerning the diagnosis of ALS based on the analysis of voice samples. The main focus is on the feasibility of the use of voice and speech assessment as an effective method to diagnose the disease, either in clinical or pre-clinical conditions, and to monitor the disease progression. Specifically, we aim to examine current knowledge on: (a) voice parameters and the data models that can, most effectively, provide robust results; (b) the feasibility of a semi-automatic or automatic diagnosis and outcomes; and (c) the factors that can improve or restrict the use of such systems in a real-world context. Key Messages: The studies already carried out on the possibility of diagnosis of ALS using the voice signal are still sparse but all point to the importance, feasibility and simplicity of this approach. Most co-horts are small which limits the statistical relevance and makes it difficult to infer broader conclusions. The set of features used, although diverse, is quite circumscribed. ALS is difficult to diagnose early because it may mimic several other neurological diseases. Promising results were found for the automatic detection of ALS from speech samples and this can be a feasible process even in pre-symptomatic stages. Improved guidelines must be set in order to establish a robust decision model.

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Section: Discussionmentioning

confidence: 99%