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Identification of Parkinson’s disease tremor onset using artificial neural networks

Warwick, 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.

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Abstract/Summary

In 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.

Item Type:Conference or Workshop Item (Paper)
Divisions:Faculty of Science > School of Systems Engineering
ID Code:14921
Uncontrolled Keywords:Brain Signal Processing, Parkinson's Disease, Deep Brain Stimulation, Artificial Neural Networks

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