Feature Enhancement of Vectorcardiograms by Linear Normalization

Vectorcardiography is an important area of human and machine pattern recognition. The wide range of interclass variation in observed VCGs is attributed to variations in body structure. IntraManuscript received November 30, 1970; revised April 2, 1971. This research was conducted at Carnegie-Mellon University, Pittsburgh, Pa., and was supported by the National Institute of General Medical Sciences, Department of Health, Education, and Welfare under PHS Training Grant 5 TOI GMO 1455. A preliminary version of this correspondence was presented at the IEEE Symposium on Feature Extraction and Selection in Pattern Recognition, Argonne, Ill., October 5-7, 1970. class differences can be minimized and interclass differences maximized if a linear normalization procedure is used to eliminate variations due to individual body differences.