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In this paper we present the initial results using an artificial neural network to predict the onset of Parkinson's Disease tremors in a human subject. Data for the network was obtained from implanted deep brain electrodes. A tuned artificial neural network was shown to be able to identify the pattern of the onset tremor from these real time recordings.


Journal article


Proceedings of the 5th IASTED International Conference on Biomedical Engineering, BioMED 2007

Publication Date



341 - 345