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Evaluating Instability on Phonation in Parkinson’s Disease and Aging Speech
- Source :
- From Bioinspired Systems and Biomedical Applications to Machine Learning ISBN: 9783030196509, IWINAC (2)
- Publication Year :
- 2019
- Publisher :
- Springer International Publishing, 2019.
-
Abstract
- Speech is controlled by axial neuromotor systems, highly sensible to certain neurodegenerative illnesses as Parkinson’s Disease (PD). Patients suffering PD present important alterations in speech, which manifest in phonation, articulation, prosody and fluency. Usually phonation and articulation alterations are estimated using different statistical frameworks and methods. The present study introduces a new paradigm based on Information Theory fundamentals to use common statistical tools to differentiate and score PD speech on phonation and articulation estimates. A study describing the performance of a methodology based on this common framework on a database including 16 PD patients, 16 age-paired healthy controls (HC) and 16 mid-age normative subjects (NS) is presented. The results point out to the clear separation between PD patients and HC subjects with respect to NS, but an unclear differentiation between PD and HC. The most important conclusion is that special effort is needed to establish differentiating features between PD, and organic laryngeal, from aging speech.
- Subjects :
- medicine.medical_specialty
Parkinson's disease
Important conclusion
Computer science
02 engineering and technology
Common framework
Audiology
medicine.disease
03 medical and health sciences
Fluency
0302 clinical medicine
0202 electrical engineering, electronic engineering, information engineering
medicine
020201 artificial intelligence & image processing
Phonation
Prosody
Articulation (phonetics)
030217 neurology & neurosurgery
Subjects
Details
- ISBN :
- 978-3-030-19650-9
- ISBNs :
- 9783030196509
- Database :
- OpenAIRE
- Journal :
- From Bioinspired Systems and Biomedical Applications to Machine Learning ISBN: 9783030196509, IWINAC (2)
- Accession number :
- edsair.doi...........f961647325e1779197814909f73c485f
- Full Text :
- https://doi.org/10.1007/978-3-030-19651-6_33