Abstract
Up to 90 % of patients with Parkinson’s disease (PD) suffer from hypokinetic dysathria (HD) which is also manifested in the field of phonation. Clinical signs of HD like monoloudness, monopitch or hoarse voice are usually quantified by conventional clinical interpretable features (jitter, shimmer, harmonic-to-noise ratio, etc.). This paper provides large and robust insight into perceptual analysis of 5 Czech vowels of 84 PD patients and proves that despite the clinical inexplicability the perceptual features outperform the conventional ones, especially in terms of discrimination power (classification accuracy \(\mathrm{ACC} = 92\) %, sensitivity \(\mathrm{SEN} = 93\) %, specificity \(\mathrm{SPE} = 92\) %) and partial correlation with clinical scores like UPDRS (Unified Parkinson’s disease rating scale), MMSE (Mini-mental state examination) or FOG (Freezing of gait questionnaire), where \(p < 0.0001\).
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References
Arnold, C., Gehrig, J., Gispert, S., Seifried, C., Kell, C.A.: Pathomechanisms and compensatory efforts related to Parkinsonian speech. Neuroimage Clin 4, 82–97 (2014)
Bocklet, T., Noth, E., Stemmer, G., Ruzickova, H., Rusz, J.: Detection of persons with Parkinson’s disease by acoustic, vocal, and prosodic analysis. In: 2011 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 478–483 (2011)
Brodal, P.: The Central Nervous System: Structure and Function, 3rd edn. Oxford University Press, Oxford (2003)
Chenausky, K., MacAuslan, J., Goldhor, R.: Acoustic analysis of pd speech. Parkinson’s Dis. 2011, 1–13 (2011)
Eliasova, I., Mekyska, J., Kostalova, M., Marecek, R., Smekal, Z., Rektorova, I.: Acoustic evaluation of short-term effects of repetitive transcranial magnetic stimulation on motor aspects of speech in Parkinson’s disease. J. Neural Transm. 120(4), 597–605 (2013)
Mekyska, J., Smekal, Z., Kostalova, M., Mrackova, M., Skutilova, S., Rektorova, I.: Motor aspects of speech imparment in Parkinson’s disease and their assessment. Cesk. Slov. Neurol. N. 74(6), 662–668 (2011)
Orozco-Arroyave, J., Arias-Londono, J., Vargas-Bonilla, J., Noth, E.: Perceptual analysis of speech signals from people with Parkinson’s disease. Natural and Artificial Models in Computation and Biology. Lecture Notes in Computer Science, vol. 7930, pp. 201–211. Springer, Berlin Heidelberg (2013)
Rusz, J., Cmejla, R., Ruzickova, H., Ruzicka, E.: Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson’s disease. J. Acoust. Soc. Am. 129(1), 350–367 (2011)
Sapir, S., Ramig, L., Fox, C.: Speech and swallowing disorders in Parkinson disease. Curr. Opin. Otolaryngol. Head Neck Surg. 16(3), 205–210 (2008)
Skodda, S., Grnheit, W., Mancinelli, N., Schlegel, U.: Progression of voice and speech impairment in the course of Parkinson’s disease: a longitudinal study. Parkinson’s Dis. 2013, 1–8 (2013)
Skodda, S., Visser, W., Schlegel, U.: Short- and long-term dopaminergic effects on dysarthria in early Parkinson’s disease. J. Neural Transm. 117, 197–205 (2010)
Smekal, Z., Mekyska, J., Galaz, Z., Mzourek, Z., Rektorova, I., Faundez-Zanuy, M.: Analysis of phonation in patients with Parkinson’s disease using empirical mode decomposition. In: 2015 International Symposium on Signals, Circuits and Systems (ISSCS), pp. 1–4 (2015)
Tsanas, A., Little, M.A., McSharry, P.E., Ramig, L.O.: Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson’s disease symptom severity. J. R. Soc. Interface 8(59), 842–855 (2010)
Acknowledgments
Research described in this paper was financed by the National Sustainability Program under grant LO1401 and by projects NT13499 (Speech, its impairment and cognitive performance in Parkinson’s disease), COST IC1206, project “CEITEC, Central European Institute of Technology”: (CZ.1.05/1.1.00/02.0068), FEDER and Ministerio de Economía y Competitividad TEC2012-38630-C04-03.
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Mekyska, J. et al. (2016). Perceptual Features as Markers of Parkinson’s Disease: The Issue of Clinical Interpretability. In: Esposito, A., et al. Recent Advances in Nonlinear Speech Processing. Smart Innovation, Systems and Technologies, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-319-28109-4_9
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DOI: https://doi.org/10.1007/978-3-319-28109-4_9
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