Principal component analysis and visualization in optimization and personalization of lead's set for generation of standard 12-leads ECG (CROSBI ID 537557)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tomašić, Ivan ; Skala, Karolj ; Trobec, Roman
engleski
Principal component analysis and visualization in optimization and personalization of lead's set for generation of standard 12-leads ECG
One of the most important requirements for personal and mobile ECG devices that can generate standard 12-leads ECG is minimizing number of electrodes. This paper proposes application of Principal Component Analysis (PCA) in process of determining minimal set of unipolar electrodes for generation of standard 12-lead ECG. PCA is multivariate statistical technique frequently utilized for ECG signal processing and dimension reduction. We introduce methodology that incorporates PCA and visualization to determine subset, of 31-multichannel ECG (MECG) leads set, which carries most of the system variability. For every patient a different subset of leads is defined. This subset, together with principal components, is then used to generate standard 12- leads ECG with minimum loss of diagnostic information.
Component analyses; ECG devices; ECG visualisation
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Podaci o prilogu
307-313.
2008.
objavljeno
Podaci o matičnoj publikaciji
MIRRO 2008
Biljanović, Petar ; Skala, Karolj ;
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-953-233-036-6
Podaci o skupu
31st International convention MIPRO, Grid and Visualization System Conference
predavanje
26.05.2008-30.05.2008
Opatija, Hrvatska