INSTITUTE OF PHYSICS PUBLISHING PHYSIOLOGICAL MEASUREMENT Physiol. Meas. 24 (2003) 1–15 PII: S0967-3334(03)58178-3 Time–frequency modelling and discrimination of noise in the electrocardiogram Piotr Augustyniak Institute of Automatics, University of Science and Technology, 30 Mickiewicza Ave. 30-059 Krakow, Poland Received 2 January 2003, in final form 9 June 2003 Published DD MMM 2003 Online at stacks.iop.org/PM/24/1 Abstract In widely spread home care applications of ECG recorders, the traditional approach to the problem of noise immunity is no longer sufficient. This paper presents a new ECG-dedicated noise removal technique based on a time– frequency noise model computed in a quasi-continuous way. Our algorithm makes use of the local bandwidth variability of cardiac electrical representation and splits the discrete time sequence into two sub-planes. The background activities of any origin (muscle, power line interference, etc) are measured in the regions of the time–frequency plane, situated above the local bandwidth of the signal. The noise estimate on each particular scale is non-uniformly sampled and needs to be extrapolated to the regions where the components of cardiac representation are normally expected. On the lower scales, the noise contribution is computed with the use of square polynomial extrapolation. The time–frequency representation of noise, partially measured and partially calculated, is arithmetically subtracted from the noisy signal, and the inverse time–frequency transform yields a noise-free cardiac representation. The algorithm was tested with the use of CSE database records with the addition of MIT-BIH database noise patterns. The static and dynamic performance of the algorithm is sufficient to ameliorate the signal-to-noise ratio by more than 11 dB. Keywords: electrocardiography, noise removal techniques, time–frequency domain 1. Introduction Noise removal is very often addressed in biomedical signal recording techniques. The primary reason is the unknown and unstable recording environment (unwanted signals, poor electrodes, 0967-3334/03/000001+15$30.00 © 2003 IOP Publishing Ltd Printed in the UK 1