Título: Mapping of electrical potentials from the chest surface - preprocessing and visualization
Mapping of Electrical Potentials from the Chest Surface - Preprocessing and Visualization
Autores: Chudacek, Vaclav; CZECH TECHNICAL UNIVERSITY IN PRAGUE
Huptych, Michal; CZECH TECHNICAL UNIVERSITY IN PRAGUE
Lhotska, Lenka; CZECH TECHNICAL UNIVERSITY IN PRAGUE
Kittnar, Otomar
Fecha: 2011-06-28
Publicador: Advances in Electrical and Electronic Engineering
Fuente:
Tipo:

Tema: ECG processing; electric field; surface potential mapping.
ECG processing; electric field; surface potential mapping.
Descripción: The aim of the paper is to present current research activity in the area of computer supported ECG processing. Analysis of heart electric field based on standard 12lead system is at present the most frequently used method of heart diseasediagnostics. However body surface potential mapping (BSPM) that measures electric potentials from several tens to hundreds of electrodes placed on thorax surface has in certain cases higher diagnostic value given by data collection in areas that are inaccessible for standard 12lead ECG. For preprocessing, wavelet transform is used; it allows detect significant values on the ECG signal. Several types of maps, namely immediate potential, integral, isochronous, and differential.
The aim of the paper is to present current research activity in the area of computer supported ECG processing. Analysis of heart electric field based on standard 12lead system is at present the most frequently used method of heart diseasediagnostics. However body surface potential mapping (BSPM) that measures electric potentials from several tens to hundreds of electrodes placed on thorax surface has in certain cases higher diagnostic value given by data collection in areas that are inaccessible for standard 12lead ECG. For preprocessing, wavelet transform is used; it allows detect significant values on the ECG signal. Several types of maps, namely immediate potential, integral, isochronous, and differential.
Idioma: cs

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