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A radial basis function neural network for single-sweep detection of somatosensory evoked potentials
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/1624
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| Title: | A radial basis function neural network for single-sweep detection of somatosensory evoked potentials |
| Authors: | Merzagora, Anna Caterina
Bracchi, Francesco
Cerutti, Sergio
Rossi, Lorenzo
Bianchi, Anna Maria
Gaggiani, Alberto |
| Keywords: | Neuromonitoring
RBFNN
Single sweep SEP
SEP
Spinal cord injury |
| Issue Date: | 2004 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004: pp. 26 I 427-430. |
| Abstract: | The aim of this research is to evaluate the
effectiveness of the employment of a Gaussian Radial Basis
Function Neural Network (RBFNN) for the on-line detection of
Single Sweep Somatosensory Evoked Potentials (SswSEPs),
paying particular attention to the capability of tracking trialto-
trial variabilities. On the basis of simulations the parameters
of the network have been set and the results have then been
compared with those obtained from other methods, in
particular with the ensemble averaging, the moving window
averaging and the ARX filtering. This research shows a better
performance of the RBFNN, because it is able to follow changes
of the underlying signal even in noisy conditions and does not
require prior assumptions. |
| URI: | http://dx.doi.org/10.1109/IEMBS.2004.1403185
http://hdl.handle.net/1860/1624 |
| Appears in Collections: | Faculty Research and Publications (Biomed Eng)
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