NDLI: Analysis of T wave morphology parameters with signal averaging during ischemia induced by percutaneous transluminal coronary angioplasty

Content Provider	IEEE Xplore Digital Library
Author	Baglivo, F.H. Arini, P.D. Martinez, J.P. Laguna, P.
Copyright Year	2009
Description	Author affiliation: Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza, Spain (Martinez, J.P.; Laguna, P.) \|\| Facultad de Ingeniería, Universidad de Buenos Aires, Argentina (Baglivo, F.H.; Arini, P.D.)
Abstract	Electrocardiographic repolarization abnormalities can be detected by Principal Components Analysis of the T-wave. In this work we studied the effect of signal averaging on the mean value and reproducibility of the ratio of the 2nd to the 1st eigenvalue (P $^{21}CA)$ and the absolute and relative T-Wave residuum (T $^{rel}$ WR and T $^{abs}$ WR) in the ECG during ischemia induced by Percutaneous Transluminal Coronary Angioplasty. Results showed that T $^{rel}$ WR and T $^{rel}$ WR evaluated from the average of 10 complexes had lower values and higher reproducibility than those obtained from 1 complex. On the other hand P $^{21}CA$ calculated from 10 complexes did not show statistical differences versus the P $^{21}CA$ calculated on single beats. The results of this study corroborate that, with a signal averaging technique, the 2nd and the 1st eigenvalue are not affected by noise while the 4th to 8th eigenvalues are so much affected by this, suggesting the signal averaged before calculation of absolute and relative T-wave residuum.
Starting Page	689
Ending Page	692
File Size	191549
Page Count	4
File Format	PDF
ISBN	9781424472819
ISSN	02766547
e-ISBN	9781424472826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Signal analysis Morphology Ischemic pain Angioplasty Electrocardiography Arteries Eigenvalues and eigenfunctions Principal component analysis Reproducibility of results Humans
Content Type	Text
Resource Type	Article

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