Prediction of Parkinson's disease tremor onset using artificial neural networks

Authors:
S. Pan;K. Warwick;J. Stein;M. N. Gasson;S. Y. Wang;T. Z. Aziz;J. Burgess
Affiliations:
Department of Cybernetics, University of Reading, UK;Department of Cybernetics, University of Reading, UK;The Functional Neurosurgery Group, Department of Surgery, Radcliffe Infirmary, Oxford, UK;Department of Cybernetics, University of Reading, UK;University Laboratory of Physiology, University of Oxford, UK and The Functional Neurosurgery Group, Department of Surgery, Radcliffe Infirmary, Oxford, UK;The Functional Neurosurgery Group, Department of Surgery, Radcliffe Infirmary, Oxford, UK;Department of Cybernetics, University of Reading, UK
Venue:
BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering
Year:
2007

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Abstract

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.