LEADER 02022oam 2200433zu 450 001 9910140994503321 005 20241212220043.0 010 $a9781424473199 010 $a1424473195 035 $a(CKB)2670000000082956 035 $a(SSID)ssj0000506970 035 $a(PQKBManifestationID)12184834 035 $a(PQKBTitleCode)TC0000506970 035 $a(PQKBWorkID)10546424 035 $a(PQKB)11631998 035 $a(NjHacI)992670000000082956 035 $a(EXLCZ)992670000000082956 100 $a20160829d2010 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2010 Computing in Cardiology 210 31$a[Place of publication not identified]$cI E E E$d2010 215 $a1 online resource 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781424473182 311 08$a1424473187 330 $aMultilead signals reflecting electrical activity of the heart and hemodynamics give comprehensive but usually redundant representation of the processes. Therefore fragments of transient corruption or loss of the data in one or more leads can be restored substituting them by the signals reconstructed using information carried by the other leads. Principal component analysis used for reduction of dimensionality in representation of the physiological processes. It concentrates essential information represented by multilead signal into few principal components which could form a set of basis functions for optimal representation and reconstruction of the original signals. The idea of the method is to calculate these components from normal fragment of the multilead signal and use them for reconstruction of missing lead in the corrupted fragment of it. 606 $aCardiology$vCongresses 615 0$aCardiology 676 $a616.12 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910140994503321 996 $a2010 Computing in Cardiology$92515669 997 $aUNINA