Prediction of Parkinson's disease tremor onset using artificial neural networks
Pan, S., Warwick, K., Stein, J., Gasson, M. N., Wang, S. Y., Aziz, T. Z. and Burgess, J. (2007) Prediction of Parkinson's disease tremor onset using artificial neural networks. In: Fifth IASTED International Conference on Biomedical Engineering, 14-16 Feb, Innsbruck, Austria, pp. 341-345. (In: Gardner, J. W. (ed.) Proceedings of the Fifth IASTED International Conference on Biomedical Engineering, Acta Press Anaheim, ISBN 9780889866485)
Full text not archived in this repository.
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.