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- W2164603134 abstract "The use of the wavelet transform to localize the current dipole sources from the multichannel electroencephalogram (EEG) is discussed. The wavelet approach automatically computes the critical time-slices at which the dipole sources are localized. Unlike the traditional approaches, where visually selected time-slices are used which represent only part of the information available in the data, the automatically computed time-slices are information-preserving. As a result, the EEG can be closely reconstructed using the parameters at each computed time-slice. In addition, the multiresolution framework of the wavelet transform provides a mathematical zoom lens which enables one to select major electrical sources at courser scale levels, and to observe the details at finer scale levels. >" @default.
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- W2164603134 date "2002-12-30" @default.
- W2164603134 modified "2023-09-24" @default.
- W2164603134 title "Multiresolution source localization using the wavelet transform" @default.
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- W2164603134 doi "https://doi.org/10.1109/nebc.1993.404404" @default.
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