Analysis of the ST-T complex of the electrocardiogram using the Karhunen—Loeve transform: adaptive monitoring and alternans detection

[1]  P. Laguna,et al.  Adaptive estimation of QRS complex wave features of ECG signal by the hermite model , 2007, Medical and Biological Engineering and Computing.

[2]  G. Nollo,et al.  Beat-to-beat measurement and analysis of the R-T interval in 24 h ECG Holter recordings , 1993, Medical and Biological Engineering and Computing.

[3]  S. Akselrod,et al.  Computerised analysis of ST segment changes in ambulatory electrocardiograms , 1987, Medical and Biological Engineering and Computing.

[4]  P. A. Lynn Online digital filters for biological signals: some fast designs for a small computer , 1977, Medical and Biological Engineering and Computing.

[5]  G. Moody,et al.  Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals , 1998, IEEE Transactions on Biomedical Engineering.

[6]  J. Moros Sistema de monitorización y detección de isquemia basado en la transformada de Karhunen-Loeve aplicada sobre el electrocardiograma (ECG) , 1998 .

[7]  Pablo Laguna,et al.  A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG , 1997, Computers in Cardiology 1997.

[8]  G. Moody,et al.  Repolarization alternans detection using the KL transform and the beatquency spectrum , 1996, Computers in Cardiology 1996.

[9]  P Caminal,et al.  Automatic detection of wave boundaries in multilead ECG signals: validation with the CSE database. , 1994, Computers and biomedical research, an international journal.

[10]  J. Ruskin,et al.  Electrical alternans and vulnerability to ventricular arrhythmias. , 1994, The New England journal of medicine.

[11]  A. Moss,et al.  Dynamic analysis of ventricular repolarization duration from 24-hour Holter recordings , 1993, IEEE Transactions on Biomedical Engineering.

[12]  P. Laguna,et al.  Orthonormal (Fourier and Walsh) models of time-varying evoked potentials in neurological injury , 1993, IEEE Transactions on Biomedical Engineering.

[13]  G. Moody,et al.  Analysis of transient ST segment changes during ambulatory monitoring using the Karhunen-Loeave transform , 1992, Proceedings Computers in Cardiology.

[14]  P. Caminal,et al.  Adaptive filter for event-related bioelectric signals using an impulse correlated reference input: comparison with signal averaging techniques , 1992, IEEE Transactions on Biomedical Engineering.

[15]  G. Moody,et al.  The European ST-T database: standard for evaluating systems for the analysis of ST-T changes in ambulatory electrocardiography. , 1992, European heart journal.

[16]  J C Zhong,et al.  On two weighted signal averaging methods and their application to the surface detection of cardiac micropotentials. , 1991, Computers and biomedical research, an international journal.

[17]  E. Clancy,et al.  A simple electrical-mechanical model of the heart applied to the study of electrical-mechanical alternans , 1991, IEEE Transactions on Biomedical Engineering.

[18]  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.

[19]  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.

[20]  Thomas W. Parsons,et al.  Digital signal processing: theory, applications, and hardware , 1991 .

[21]  Roger G. Mark,et al.  The MIT-BIH Arrhythmia Database on CD-ROM and software for use with it , 1990, [1990] Proceedings Computers in Cardiology.

[22]  G. Moody,et al.  QRS morphology representation and noise estimation using the Karhunen-Loeve transform , 1989, [1989] Proceedings. Computers in Cardiology.

[23]  R Lazzara,et al.  An introduction to high-resolution ECG recordings of cardiac late potentials. , 1988, Archives of internal medicine.

[24]  Glenn A. Myers,et al.  Power Spectral Analysis of Heart Rate Varability in Sudden Cardiac Death: Comparison to Other Methods , 1986, IEEE Transactions on Biomedical Engineering.

[25]  P E Puddu,et al.  Prediction of sudden death from QTc interval prolongation in patients with chronic ischemic heart disease. , 1986, Journal of electrocardiology.

[26]  D H Singer,et al.  Power spectral analysis of heart rate variability in sudden cardiac death: comparison to other methods. , 1986, IEEE transactions on bio-medical engineering.

[27]  Ehud Weinstein,et al.  Convergence analysis of LMS filters with uncorrelated Gaussian data , 1985, IEEE Trans. Acoust. Speech Signal Process..

[28]  Bernard Widrow,et al.  Adaptive Signal Processing , 1985 .

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

[30]  C. Marchesi,et al.  Computer system for analysis of ST segment changes on 24 hour Holter monitor tapes: comparison with other available systems. , 1984, Journal of the American College of Cardiology.

[31]  J. Strackee,et al.  Comparing Spectra of a Series of Point Events Particularly for Heart Rate Variability Data , 1984, IEEE Transactions on Biomedical Engineering.

[32]  H N Keiser,et al.  Electrocardiogram baseline noise estimation and removal using cubic splines and state-space computation techniques. , 1977, Computers and biomedical research, an international journal.

[33]  J. A. Bushman,et al.  Medical & biological engineering & computing , 2006, Medical and Biological Engineering and Computing.

[34]  H. Bazett,et al.  AN ANALYSIS OF THE TIME‐RELATIONS OF ELECTROCARDIOGRAMS. , 1997 .