ECG baseline wander reduction using linear phase filters
Computers and Biomedical Research
Advanced topics in signal processing
Advanced topics in signal processing
Nonlinear Time Series Analysis
Nonlinear Time Series Analysis
Projective filtering of time-aligned ECG beats for repolarization duration measurement
Computer Methods and Programs in Biomedicine
Projective filtering of time warped ECG beats
Computers in Biology and Medicine
A sequential procedure for individual identity verification using ECG
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Towards noise immune detection of fetal QRS complexes
Computer Methods and Programs in Biomedicine
Multistage approach for clustering and classification of ECG data
Computer Methods and Programs in Biomedicine
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In this paper a new version, more immune to noise, of the nonlinear projective filtering is presented. The method employs an algorithm of robust principal component analysis to signal subspaces construction and as a result it achieves high performance in real electromyographic noise environment. Two aspects of the method's action are investigated: its ability to suppress noise and its influence on the precision of the QT interval measurement. Then the method influence on evaluation of the beat-to-beat variability of the repolarization duration is presented. A comparison to the previous versions of the nonlinear projective filtering and to the classical linear one is carried out.