Blind source separation of electrocardiographic signals using system stability criteria.

Authors :: Monzon JE
Pisarello MI
Picaza CA
Source :: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2007; Vol. 2007, pp. 3493-5.
Publication Year :: 2007
Abstract: This paper presents a method for blind source separation (BSS) of electrocardiographic signals disturbed by noise, using the Lyapunov stability conditions for linear time invariant systems. We used records from the MIT Arrhythmia Database and in-vivo records from cardiac voluntary patients to test our signal extraction method. We quantitatively assessed the performance of our separation procedure. The method presented here compares favorably to other BSS algorithms.

Subjects :: Artifacts
Reproducibility of Results
Sensitivity and Specificity
Algorithms
Arrhythmias, Cardiac diagnosis
Arrhythmias, Cardiac physiopathology
Diagnosis, Computer-Assisted methods
Electrocardiography methods
Heart Rate
Pattern Recognition, Automated methods

Language :: English
ISSN :: 2375-7477
Volume :: 2007
Database :: MEDLINE
Journal :: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Publication Type :: Academic Journal
Accession number :: 18002749
Full Text :: https://doi.org/10.1109/IEMBS.2007.4353083

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