title: [Principal component analysis of body surface potential distribution and that clinical application].
abstract: The purpose of this study was to compress a huge amount of body surface potential data with principal component analysis. The first 6 principal components were extracted from data set obtained from both 25 normal subjects and 100 patients. The factor loading from the 1st to the 3rd principal component (PC) displayed dipolar distribution and that from the 4th to the 6th PC displayed multipolar distribution. In conclusion, the principal component analysis on body surface maps successfully condensed mapped data without significant loss of total variance and it was suggested that this method may be useful for detecting the presence of multipolar distribution.
authors.affiliation: Tendo City Hospital.
authors.forename: T
authors.initials: T
authors.lastname: Endo
authors.forename: M
authors.initials: M
authors.lastname: Yamaki
mesh_terms: D018780:Body Surface Potential Mapping / Q000379:methods*; D006801:Humans; D009203:Myocardial Infarction / Q000175:diagnosis*; D014672:Vectorcardiography