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- Wahlberg, Patrik, et al.
(författare)
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Feature extraction from multichannel EEG transients for clustering purposes
- 1995
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Ingår i: 1995 IEEE Engineering in Medicine and Biology. - Piscataway, NJ : IEEE Communications Society. - 0780324757 ; , s. 915-916
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Konferensbidrag (refereegranskat)abstract
- This paper treats the problem of clustering multichannel EEG transients occurring in epilepsy, so called spikes. The authors present a new method for feature extraction which is an expansion along an orthonormal set of matrices, obtained from truncated SVD and Gram-Schmidt orthogonalization. The method is compared to a method used earlier where each channel was Hermite function expanded. The result is that using the same expansion order the new method represents a set of spikes with higher fidelity than the Hermite function method. The output from the feature extraction is a vector for each spike in a set. The vectors from a set is clustered with the standard NM algorithm. Two sets of spikes have been investigated, both being clustered in appearance
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