[Specific features of QRS-complex identification algorithms for real-time ECG systems]
- PMID: 11837188
[Specific features of QRS-complex identification algorithms for real-time ECG systems]
Abstract
The paper reviews the existing methods for identifying QRS complexes. An attempt is made to make a well-defined classification of available algorithms in an approach to QRS detection. Emphasis is laid on the consideration of specific requirements for such algorithms by computer-aided real-time ECG systems. A task of choice of the most suitable method is formulated. An algorithm based on the well-known principles of frequency-time detection is proposed as an alternative solution of this task. The algorithm makes it possible to single out QRS complexes from real-time ECG and to effectively make a digital signal processing by available optimized libraries. The method initially used in the Matlab package has been integrated within the laboratory computerized ECG system.
Similar articles
-
A comparison of the noise sensitivity of nine QRS detection algorithms.IEEE Trans Biomed Eng. 1990 Jan;37(1):85-98. doi: 10.1109/10.43620. IEEE Trans Biomed Eng. 1990. PMID: 2303275
-
Combined entropy based method for detection of QRS complexes in 12-lead electrocardiogram using SVM.Comput Biol Med. 2008 Jan;38(1):138-45. doi: 10.1016/j.compbiomed.2007.08.003. Epub 2007 Oct 1. Comput Biol Med. 2008. PMID: 17905219
-
A real-time QRS detection method based on moving-averaging incorporating with wavelet denoising.Comput Methods Programs Biomed. 2006 Jun;82(3):187-95. doi: 10.1016/j.cmpb.2005.11.012. Epub 2006 May 22. Comput Methods Programs Biomed. 2006. PMID: 16716445
-
High-resolution electrocardiography.Crit Rev Biomed Eng. 1988;16(1):67-103. Crit Rev Biomed Eng. 1988. PMID: 3293914 Review.
-
A review of computer ECG analysis: time to evaluate and standardize.Crit Rev Med Inform. 1986;1(2):165-207. Crit Rev Med Inform. 1986. PMID: 3333022 Review.