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Improved QT variability quantification by multilead automatic delineation

Title
Improved QT variability quantification by multilead automatic delineation
Type
Article in International Conference Proceedings Book
Year
2005
Authors
Martinez, JP
(Author)
Other
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Rocha, AP
(Author)
FCUP
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Olmos, S
(Author)
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Laguna, P
(Author)
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Conference proceedings International
Pages: 503-506
32nd Annual Conference on Computers in Cardiology
Lyon, FRANCE, SEP 25-28, 2005
Scientific classification
FOS: Engineering and technology > Environmental biotechnology
Other information
Authenticus ID: P-000-5FE
Abstract (EN): In this work we evaluate the joint robustness of a multilead delineation and a parametric approach to study the relations between HRV and QTV The performance of the automatic system is studied over simulated 3-lead ECG signals in order to quantify the improvement allowed by the multilead delineation. Respiratory effect and contamination with realistic noise extracted from a real ECG, rescaled to obtain SNR levels from 30 to 5 dB, were also considered. Compared with same parametric methods over RR and QT series measured from a single lead based approach, the multilead delineator allows to reduce the error in QTV quantification, in particular the error bias in signals at SNR = 20 dB. It improves the joint performance facing realistic 3 lead noise at SNR >= 20 dB, remarkably around 20 dB, making it usable for ECG signals with QTV levels corresponding to a QT standard deviation >= 13 ms.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 4
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