Literature DB >> 21049179

Acoustic and hearing-perceptual voice analysis in individuals with idiopathic Parkinson's disease in "on" and "off" stages.

Luiza Lara M Santos1, Larissa Oliveira Dos Reis, Iara Bassi, Clara Guzella, Francisco Cardoso, César Reis, Ana Cristina Côrtes Gama.   

Abstract

OBJECTIVE: To evaluate the voice quality of patients with idiopathic Parkinson's disease, at the "on" and "off" moments of the disease.
METHOD: Five individuals with Parkinson's disease and five of the control group were assessed. All of them underwent the recording of voice and speech. The acoustic parameters analyzed were: fundamental frequency, jitter, shimmer, harmonic noise proportion and index of tremor, besides performing the hearing-perceptual analysis by means of GRBASI scale. The findings were analyzed using statistics through t test and the level of significance adopted was p < 0.05.
RESULTS: There was no difference in the acoustic parameters in the three analyzed groups. In the hearing-perceptual analysis, patients with idiopathic Parkinson's disease showed altered voice quality and the ones from the control group, neutral vocal quality.
CONCLUSION: Patients with idiopathic Parkinson's disease present rough, breathy and unstable vocal quality in both stages. In the acoustic analysis, there are no differences in the studied parameters.

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Year:  2010        PMID: 21049179     DOI: 10.1590/s0004-282x2010000500006

Source DB:  PubMed          Journal:  Arq Neuropsiquiatr        ISSN: 0004-282X            Impact factor:   1.420


  3 in total

Review 1.  Speech disorders in Parkinson's disease: early diagnostics and effects of medication and brain stimulation.

Authors:  L Brabenec; J Mekyska; Z Galaz; Irena Rektorova
Journal:  J Neural Transm (Vienna)       Date:  2017-01-18       Impact factor: 3.575

2.  Detecting Effect of Levodopa in Parkinson's Disease Patients Using Sustained Phonemes.

Authors:  Nemuel D Pah; Mohammod A Motin; Peter Kempster; Dinesh K Kumar
Journal:  IEEE J Transl Eng Health Med       Date:  2021-03-17       Impact factor: 3.316

3.  Complexity Measures of Voice Recordings as a Discriminative Tool for Parkinson's Disease.

Authors:  Rekha Viswanathan; Sridhar P Arjunan; Adrian Bingham; Beth Jelfs; Peter Kempster; Sanjay Raghav; Dinesh K Kumar
Journal:  Biosensors (Basel)       Date:  2019-12-20
  3 in total

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