High resolution QRS alignment and late potentials analysis

Late potentials (LP) analysis needs an improvement of the alignment procedure for the signal averaging and a knowledge of the noise effects on the clinical responses. To extract a better fiducial synchronizing mark, the authors propose the use of an optimal bandpass filter and high-resolution alignment techniques. The effects of the main sources of error either in the time or frequency domain of LP analysis were investigated on a database of 16 electrocardiogram recordings. Different sources and levels of noises were considered, and their influence on the two LP detection methods was studied.<<ETX>>

[1]  Kevin C. McGill,et al.  High-Resolution Alignment of Sampled Waveforms , 1984, IEEE Transactions on Biomedical Engineering.

[2]  E. Caref,et al.  Role of bandpass filters in optimizing the value of the signal-averaged electrocardiogram as a predictor of the results of programmed stimulation. , 1989, The American journal of cardiology.

[3]  R Haberl,et al.  Spectral mapping of the electrocardiogram with Fourier transform for identification of patients with sustained ventricular tachycardia and coronary artery disease. , 1989, European heart journal.

[4]  W. J. Tompkins,et al.  Estimation of QRS Complex Power Spectra for Design of a QRS Filter , 1984, IEEE Transactions on Biomedical Engineering.

[5]  V Hombach,et al.  Standards for analysis of ventricular late potentials using high-resolution or signal-averaged electrocardiography: a statement by a task force committee of the European Society of Cardiology, the American Heart Association, and the American College of Cardiology. , 1991, Journal of the American College of Cardiology.

[6]  M. Simson.  Use of Signals in the Terminal QRS Complex to Identify Patients with Ventricular Tachycardia After Myocardial Infarction , 1981, Circulation.

[7]  G. Breithardt,et al.  Standards for analysis of ventricular late potentials using high resolution or signal-averaged electrocardiography. A statement by a Task Force Committee between the European Society of Cardiology, the American Heart Association and the American College of Cardiology. , 1991, European heart journal.

[8]  H. H. Ros,et al.  Coherent averaging technique: a tutorial review. Part 1: Noise reduction and the equivalent filter. , 1986, Journal of biomedical engineering.

[9]  P. Caminal,et al.  Alignment methods for averaging of high-resolution cardiac signals: a comparative study of performance , 1991, IEEE Transactions on Biomedical Engineering.

[10]  William Craelius,et al.  Criteria for Optimal Averaging of Cardiac Signals , 1986, IEEE Transactions on Biomedical Engineering.

[11]  C. D. De Luca,et al.  Frequency Parameters of the Myoelectric Signal as a Measure of Muscle Conduction Velocity , 1981, IEEE Transactions on Biomedical Engineering.

[12]  J. Bendat,et al.  Random Data: Analysis and Measurement Procedures , 1987 .

[13]  S L Winters,et al.  Optimal bandpass filters for time-domain analysis of the signal-averaged electrocardiogram. , 1987, The American journal of cardiology.