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|Title:||Compression of EEG using tensor decomposition||Authors:||Paramanathan Lakshmikanthan.||Keywords:||DRNTU::Engineering::Electrical and electronic engineering||Issue Date:||2011||Abstract:||Modem applications of EEG require acquisition, storage and transmission of large amount of EEG data. Therefore efficient data compression is a must in order to avoid the complexities in handling the EEG data recorded from multiple channels. The Tensor de- compositions have been widely used in the analysis of multidimensional data. During the last decade, the usage of tensors was extended to diverse applications including image and signal processing, feature extraction and pattern recognition of brain waves. The success- full application of tensor methods for Brain wave analysis and the natural representation of EEG provided by tensors suggested that it can be effectively used for EEG compression as well.||URI:||http://hdl.handle.net/10356/53168||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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