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Feature extraction from multichannel EEG transients for clustering purposes
Lunds universitet.
Lunds universitet.
1995 (English)In: 1995 IEEE Engineering in Medicine and Biology: 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference, Montréal, Canada, September 20-23, 1995, Piscataway, NJ: IEEE Communications Society, 1995, Vol. 2, p. 915-916Conference paper, Published paper (Refereed)
Abstract [en]

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

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 1995. Vol. 2, p. 915-916
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-27774DOI: 10.1109/IEMBS.1995.579298Local ID: 14ff8370-dfd5-11dc-9e29-000ea68e967bISBN: 0-7803-2475-7 (print)OAI: oai:DiVA.org:ltu-27774DiVA, id: diva2:1000964
Conference
IEEE Engineering in Medicine and Biology, Annual International Conference : 20/09/1995 - 23/09/1995
Note
Godkänd; 1995; 20080220 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Grennberg, Anders

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