Acquisition and processing of the ECG signal, based on the extraction of potential intra-QRS and indices of QT variability

Abstract:

This paper reports on the design and implementation of a 12 lead high resolution electrocardiograph. The proposed equipment incorporates advanced digital techniques enabling the estimation of intra-QRS potentials. The analysis software should perform in real-time the averaging of QRS complexes as well as digital filtering for extracting the intra- QRS potentials. Additionally, the time-series corresponding to the RR intervals should be estimated and processed in the frequency and time domain. One of the contributions of this research will consist on the development of a robust technique for the estimation of QT intervals operating simultaneously on each of the recorded leads. Analysis of QT time-series intervals could be performed using either Principal Component Analysis (PCA) or wavelets, aiming at deducing quantitative indexes of heart pathologies. The proposed system is intended as tool for the early detection of Chagas disease and their stratification. For attaining this goal a fusion stage would be incorporated. During this stage the software should provide a quantitative index based on several electrocardiographic (ECG) quantitative parameters estimated from the recorded leads. © Springer-Verlag Berlin Heidelberg 2007.

Año de publicación:

2008

Keywords:

Fuente:

scopus