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

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.

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Institution:
University of Oxford
Division:
MSD
Department:
Physiology Anatomy & Genetics
Role:
Author
Journal:
Proceedings of the 5th IASTED International Conference on Biomedical Engineering, BioMED 2007 More from this journal
Pages:
341-345
Publication date:
2007-01-01
Language:
English
Keywords:
Pubs id:
pubs:148835
UUID:
uuid:fe488f35-9e28-40c3-8dd8-c0fe10642b01
Local pid:
pubs:148835
Source identifiers:
148835
Deposit date:
2012-12-19

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