A Machine Learning System for the Diagnosis of Parkinson’s Disease from Speech Signals and Its Application to Multiple Speech Signal Types
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-016-2206-3.pdf
Reference29 articles.
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2. Jankovic J.: Parkinson’s disease: clinical features and diagnosis. J. Neurol. Neurosurg. Psychiatry 79(4), 368–376 (2008). doi: 10.1136/jnnp.2007.131045
3. Singh N., Pillay V., Choonara Y.E.: Advances in the treatment of Parkinson’s disease. Prog. Neurobiol. 81(1), 29–44 (2007). doi: 10.1016/j.pneurobio.2006.11.009
4. Conditions N.C.C.f.C: Parkinson’s Disease. Royal College of Physicians, London (2006)
5. Harel B., Cannizzaro M., Snyder P.J.: Variability in fundamental frequency during speech in prodromal and incipient Parkinson’s disease: A longitudinal case study. Brain Cogn. 56(1), 24–29 (2004). doi: 10.1016/j.bandc.2004.05.002
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