Title of article
Prediction of Parkinson’s disease tremor onset using radial basis function neural networks
Author/Authors
Wu، نويسنده , , Defeng and Warwick، نويسنده , , Kevin and Ma، نويسنده , , Zi and Burgess، نويسنده , , Jonathan G. and Pan، نويسنده , , Song and Aziz، نويسنده , , Tipu Z. Aziz، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
6
From page
2923
To page
2928
Abstract
The possibility of using a radial basis function neural network (RBFNN) to accurately recognise and predict the onset of Parkinson’s disease tremors in human subjects is discussed in this paper. The data for training the RBFNN are obtained by means of deep brain electrodes implanted in a Parkinson disease patient’s brain. The effectiveness of a RBFNN is initially demonstrated by a real case study.
Keywords
Parkinson’s disease , Radial basis function neural network , Deep brain implantation
Journal title
Expert Systems with Applications
Serial Year
2010
Journal title
Expert Systems with Applications
Record number
2347633
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