undergraduate thesis: Effect of expiratory muscle strength training on voice quality in individuals with Parkinson's disease : a long-term average spectral analysis

TitleEffect of expiratory muscle strength training on voice quality in individuals with Parkinson's disease : a long-term average spectral analysis
Authors
Issue Date2020
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Nam, S. C. [藍思晴]. (2020). Effect of expiratory muscle strength training on voice quality in individuals with Parkinson's disease : a long-term average spectral analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
AbstractThe study investigated the effect of expiratory muscle strength training (EMST) on the phonatory function in individuals with Parkinson’s disease (PD). Data were excerpted from the existing data set of a study examining the effect of EMST on speech function in patients with Parkinson’s disease previously reported (Tong, 2018). Data of 20 participants were randomly selected, and pre-treatment and post-treatment speech samples were used for longterm average spectral (LTAS) analysis. An array of LTAS parameters including mean spectral energy (MSE), spectral tilt (ST), and first spectral peak (FSP) were extracted to objectively evaluate possible treatment effect. Results revealed no significant change in all LTAS parameters after EMST treatment, suggesting a lack of effect of EMST on the phonatory function of PD individuals. Further studies exploring the effect of EMST on severe PD individuals including the use of perceptual measures are suggested.
DegreeBachelor of Science in Speech and Hearing Sciences
SubjectVoice disorders
Parkinson's disease - Patients
Dept/ProgramSpeech and Hearing Sciences
Persistent Identifierhttp://hdl.handle.net/10722/309774

 

DC FieldValueLanguage
dc.contributor.authorNam, Sze Ching-
dc.contributor.author藍思晴-
dc.date.accessioned2022-01-05T15:07:47Z-
dc.date.available2022-01-05T15:07:47Z-
dc.date.issued2020-
dc.identifier.citationNam, S. C. [藍思晴]. (2020). Effect of expiratory muscle strength training on voice quality in individuals with Parkinson's disease : a long-term average spectral analysis. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/309774-
dc.description.abstractThe study investigated the effect of expiratory muscle strength training (EMST) on the phonatory function in individuals with Parkinson’s disease (PD). Data were excerpted from the existing data set of a study examining the effect of EMST on speech function in patients with Parkinson’s disease previously reported (Tong, 2018). Data of 20 participants were randomly selected, and pre-treatment and post-treatment speech samples were used for longterm average spectral (LTAS) analysis. An array of LTAS parameters including mean spectral energy (MSE), spectral tilt (ST), and first spectral peak (FSP) were extracted to objectively evaluate possible treatment effect. Results revealed no significant change in all LTAS parameters after EMST treatment, suggesting a lack of effect of EMST on the phonatory function of PD individuals. Further studies exploring the effect of EMST on severe PD individuals including the use of perceptual measures are suggested. -
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshVoice disorders-
dc.subject.lcshParkinson's disease - Patients-
dc.titleEffect of expiratory muscle strength training on voice quality in individuals with Parkinson's disease : a long-term average spectral analysis-
dc.typeUG_Thesis-
dc.description.thesisnameBachelor of Science in Speech and Hearing Sciences-
dc.description.thesislevelBachelor-
dc.description.thesisdisciplineSpeech and Hearing Sciences-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2020-
dc.identifier.mmsid991044457082203414-

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