19th August 2012 - New research


IEEE Transactions on Biomedical Engineering [2012] 59 (5) : 1264-1271 (A.Tsanas, M.A.Little, P.E.McSharry, J. Spielman, L.O.Ramig) Complete abstract

There has been a lot of recent research into the connection between Parkinson's Disease and speech impairment. Consequently, a wide range of speech signal processing algorithms (dysphonia measures) aiming to predict Parkinson's Disease severity using speech signals have been introduced. Dysphonia is an impairment in the ability to produce vocal sounds. For more information, go to Dysphonia.

Researchers assessed how accurately such measures can be in discriminating people with Parkinson's Disease from people who do not have it. In total, the researchers computed 132 measures of dysphonia measures from sustained vowels. They then used a large database of vocal samples from different people. The researchers demonstrated that these measures of dysphonia can outperform standard methods of diagnosing Parkinson's Disease by reaching almost 99% overall classification accuracy. They achieved this by using only ten features of dysphonia. For a printable version of this article click here For more news go to Parkinson's Disease News.


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Parkinson's Disease News details all significant new research, news reports, new books, and new resources concerning Parkinson's Disease and those medical disorders that often coincide with Parkinson's Disease. It is compiled from an analysis of  all newly published research, news reports, new clinical trials, all newly published books, and new web sites. A summary and analysis of the new research are provided,  as well as links to the complete abstracts and news reports



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