Karhunen Loève Transform (KLT)

Segment Karhunen Loewe Transform

The KLT is a signal-dependent linear transform that is optimal for any given number of transform parameters.  It concentrates the maximum signal information in the minimum number of parameters, and it defines the domain where the signal and noise are most separated.  A significant limitation of the KLT is that it is necessary to collect a representative “training” set of the signals to be analysed, in order to derive the KLT basis functions (eigenfunctions).  Therefore, the performance of the KLT depends on how well the training set has been constructed.

                The module included in the BioSigBrowser was used to determine the basis for ST-T segments specifically to be used in ischemia detection.

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