The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Suitability of dysphonia measurements for telemonitoring of Parkinson’s disease
Open accessAbstract
We present an assessment of the practical value of existing traditional and non-standard measures for discriminating healthy people from people with Parkinson?s disease (PD) by detecting dysphonia. We introduce a new measure of dysphonia, Pitch Period Entropy (PPE), which is robust to many uncontrollable confounding effects including noisy acoustic environments and normal, healthy variations in voice frequency. We collected sustained phonations from 31 people, 23 with PD. We then selected 10 highly uncorrelated measures, and an exhaustive search of all possible combinations of these measures finds four that in combination lead to overall correct classification performance of 91.4%, using a kernel support vector machine. In conclusion, we find that non-standard methods in combination with traditional harmonics-to-noise ratios are best able to separate healthy from PD subjects. The selected non-standard methods are robust to many uncontrollable variations in acoustic environment and individual subjects, and are thus well-suited to telemonitoring applications.
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Cites
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2005) · doi:10.1002/047174882x · Cited by 13,791
Parkinsonism: onset, progression, and mortality
Hoehn, M. M., & Yahr, M. D. (1967) · Neurology · doi:10.1212/wnl.17.5.427 · Cited by 12,107
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Wang, J., Lan, C., Liu, C., Ouyang, Y., Qin, T., Lu, W., Chen, Y., Zeng, W., & Yu, P. (2022) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2022.3178128 · Cited by 1,046
Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson’s Disease
Tsanas, A., Little, M. A., McSharry, P. E., Spielman, J., & Ramig, L. O. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2183367 · Cited by 732
Self-citationHlavnička, J., Čmejla, R., Tykalová, T., Šonka, K., Růžička, E., & Rusz, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-00047-5 · Cited by 326
Kubota, K. J., Chen, J. A., & Little, M. A. (2016) · Movement Disorders · doi:10.1002/mds.26693 · Cited by 210
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Metadata
- Authors
- Little, M., McSharry, P., Hunter, E., Spielman, J., & Ramig, L.
- Venue
- Nature Precedings
- Published
- 2008-09-12
- Volume
- 56
- Issue
- 4
- Pages
- 1015-1022
- ISSN
- 1756-0357 (ISSN-L)
- OpenAlex
- W2100534701
- Cited by
- 1,188
- References
- 2
- Type
- posted content
- Language
- en
- Open access
- diamond
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- Little, M., McSharry, P., Hunter, E., Spielman, J., & Ramig, L. (2008). Suitability of dysphonia measurements for telemonitoring of Parkinson’s disease. Nature Precedings. https://doi.org/10.1038/npre.2008.2298.1
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