Journal article
A radial basis function neural network for single sweep detection of somatosensory evoked potentials
Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp 427-430
09 Jul 2007
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.
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Details
- Title
- A radial basis function neural network for single sweep detection of somatosensory evoked potentials
- Creators
- Anna Caterina Merzagora (Author) - Politecnico di MilanoFrancesco Bracchi (Author) - University of MilanSergio Cerutti (Author) - Politecnico di MilanoLorenzo Rossi (Author) - Politecnico di MilanoAnna Maria Bianchi (Author) - Politecnico di MilanoAlberto Gaggiani (Author) - University of Milan
- Publication Details
- Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp 427-430
- Conference
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 26th (Shanghai, China, 21 Mar 2005)
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Number of pages
- 4
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering and Science
- Other Identifier
- 991014632313804721