title: Fast and reliable QRS alignment technique for high-frequency analysis of signal-averaged ECG.
abstract: The process of QRS alignment as required in signal-averaged ECG can impose serious limitations on the spectral range of the signal output. This effect depends basically on the particular alignment technique being used and on the level and type of noise present in the recorded ECG. In clinical studies where a wide-band (1000 Hz) ECG averager is required, the conventional QRS alignment technique, based on maximum coherence matching (MCM) with a template beat, may not perform consistently well. An alternative QRS alignment technique based on the accurate detection of a single fiducial point (SFP) in the bandpass filtered (3-30 Hz) QRS complex was developed. Using computer simulation methods, a comparative assessment of the frequency bandwidths (3 dB points) offered by both MCM and SFP techniques as a function of noise level (15-100 muRMS) and type (EMG and 50 Hz interference), was carried out. The results of the comparative assessment indicated a better performance by the SFP technique in all cases of noise. Hence, the SFP technique would perform more reliably for high-frequency analysis of a noisy ECG, especially when 50 Hz interference is high. Furthermore, SFP is considerably faster than MCM (about four times) when implemented digitally, and its analogue realisation is feasible. The SFP technique is suitable for late-potential analysis in the signal-averaged ECG.
authors.affiliation: Department of Electrical & Electronic Engineering, University of Ulster, Northern Ireland, UK.
authors.forename: O J
authors.initials: OJ
authors.lastname: Escalona
authors.forename: R H
authors.initials: RH
authors.lastname: Mitchell
authors.forename: D E
authors.initials: DE
authors.lastname: Balderson
authors.forename: D W
authors.initials: DW
authors.lastname: Harron
mesh_terms: D003198:Computer Simulation; D004562:Electrocardiography; D006801:Humans; D008955:Models, Cardiovascular; D012815:Signal Processing, Computer-Assisted