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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/1624

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
Appears in Collections:Faculty Research and Publications (Biomed Eng)

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