Identification of Parkinson’s disease tremor onset using artificial neural networksWarwick, K., Gasson, M. N., Burgess, J. and Pan, S. (2008) Identification of Parkinson’s disease tremor onset using artificial neural networks. In: UKACC International Conference on Control (CONTROL 2008), 2-4 September, Manchester, UK. Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Abstract/SummaryIn this paper we consider the possibility of using an artificial neural network to accurately identify the onset of Parkinson’s Disease tremors in human subjects. Data for the network is obtained by means of deep brain implantation in the human brain. Results presented have been obtained from a practical study (i.e. real not simulated data) but should be regarded as initial trials to be discussed further. It can be seen that a tuned artificial neural network can act as an extremely effective predictor in these circumstances.
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