Patent ID: 9504427
Filing Date: 2016-11-29
CPC Classification: A61B,G06K

Claim Text:
1. A method comprising: receiving measurement data characterizing a subset of a plurality of electrical biological signals detected by sensors; selecting a template region of the signals characterized by the measurement data; performing principal component analysis (PCA) on the measurement data to generate a virtual lead corresponding to a single channel representation of the subset of signals characterized by the measurement data and performing PCA on the selected template region to generate an optimized template corresponding to a single channel representation of the selected template region; calculating a cross correlation on the virtual lead and the optimized template to determine a strength of linear dependence between the virtual lead and the optimized template to determine regions of interest (ROIs) of the virtual lead; detecting peak correlation coefficients in the virtual lead based on the cross-correlation to identify potential ROIs; comparing the amplitude of each of the ROIs of the virtual lead with the optimized template to determine an error between the optimized template and each ROI of the virtual lead for each of the potential ROIs; and generating averaged data for the each of the plurality of signals by determining an average for each respective ROI of the virtual lead based on the error.