NDLI: Respiration effect on single and multi lead ECG delineation strategies

Content Provider	IEEE Xplore Digital Library
Author	Noriega, M. Martínez, J.P. Laguna, P. Romero, D. Bailón, R. Almeida, R.
Copyright Year	2010
Description	Author affiliation: GTC, I3A, UZ (Martínez, J.P.; Laguna, P.; Bailón, R.) \|\| CIBER - BBN, with the GTC, I3A, UZ (Almeida, R.) \|\| Comunications and Electronical Departament of Oriente University, Santiago de Cuba (Cuba) (Noriega, M.; Romero, D.)
Abstract	The main purpose of this work is to study the influence of the mechanical effect of the respiration over T wave end delineation. The performance of automatic delineation systems based in Wavelet Transform (WT) was compared, considering single lead (SL), post processing selection rules (SLR) and multi lead (ML) approaches. The T wave locations obtained over real and simulated ECG signals were analyzed together with the respective respiratory signal (ECG-derived or simulated). The linear relation between the variations on obtained marks and the mechanical effect of the respiration was measured using spectral coherence. With respect to the ML strategy we also explored the evolution of the vectorcardiographic spatial loop using the direction of maximum projection of the WT in the region close to the T wave end (Te). The relation between this direction and the respiration is also explored. The marks obtained from the SLR and ML delineation strategies show advantage over the SL strategy based marks. The coherence around the respiratory frequency between the respiratory signal and the error in T end marks was found to be higher using SLR (a minimum of 0.92) than using ML (a maximum of 0.80). According to obtained results, the multi lead delineation presents a lower sensibility to the mechanical effect of the respiration for the T wave end delineation, particularly the obtained with ML.
Starting Page	3575
Ending Page	3578
File Size	409212
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lead Electrocardiography Coherence Signal to noise ratio Erbium Contamination
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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