Journal article

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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APA Style

Pan, S., Warwick, K., Stein, J., Gasson, M., Wang, S., Aziz, T., & Burgess, J. (2007). Prediction of Parkinson's disease tremor onset using artificial neural networks. Proceedings of the 5th IASTED International Conference on Biomedical Engineering, BioMED 2007, 341–345.

MLA Style

Pan, S., et al. “Prediction of Parkinson's Disease Tremor Onset Using Artificial Neural Networks.” Proceedings of the 5th IASTED International Conference on Biomedical Engineering, BioMED 2007, 2007, pp. 341–45.

Chicago Style

Pan, S, K Warwick, J Stein, M Gasson, S Wang, T Aziz, and J Burgess. 2007. “Prediction of Parkinson's Disease Tremor Onset Using Artificial Neural Networks.” Proceedings of the 5th IASTED International Conference on Biomedical Engineering, BioMED 2007, 341–45.
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Authors

+ Pan, S More by this author

Role:: Author

+ Warwick, K More by this author

Role:: Author

+ Stein, J More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Physiology Anatomy & Genetics
Role:: Author

+ Gasson, M More by this author

Role:: Author

+ Wang, S More by this author

Role:: Author

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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:: And artificial neural networks

Parkinson's disease

DBS
Pubs id:: pubs:148835
UUID:: uuid:fe488f35-9e28-40c3-8dd8-c0fe10642b01
Local pid:: pubs:148835
Source identifiers:: 148835
Deposit date:: 2012-12-19

Terms of use

Copyright date:: 2007

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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