Time-Frequency Analysis of the RT and RR Variability to Stratify Hypertrophic Cardiomyopathy Patients
暂无分享,去创建一个
Pere Caminal | Rafal Baranowski | Montserrat Vallverdú | Francesc Claria | Lidia Chojnowska | P. Caminal | M. Vallverdú | F. Clarià | R. Baranowski | L. Chojnowska
[1] S. Thomas Alexander,et al. Adaptive Signal Processing , 1986, Texts and Monographs in Computer Science.
[2] LagunaPablo,et al. Automatic detection of wave boundaries in multilead ECG signals , 1994 .
[3] Z. Czyz,et al. Loss of frequency modulation of RT variability in patients with chest pain and normal coronary arteriograms , 1996, Computers in Cardiology 1996.
[4] A Nava,et al. Comparison of QT dispersion in hypertrophic cardiomyopathy between patients with and without ventricular arrhythmias and sudden death. , 1993, The American journal of cardiology.
[5] S. Quint,et al. Heart period variability in sleep. , 1995, Electroencephalography and clinical neurophysiology.
[6] 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.
[7] A. Malliani,et al. Model for RT-RR variability interaction assessment , 1996, Computers in Cardiology 1996.
[8] J. Gardin,et al. Prevalence of hypertrophic cardiomyopathy in a general population of young adults. Echocardiographic analysis of 4111 subjects in the CARDIA Study. Coronary Artery Risk Development in (Young) Adults. , 1995, Circulation.
[9] T Penzel. Spectral analysis of blood pressure in patients with sleep-related breathing disorders during NREM and REM sleep. , 1993, Sleep.
[10] R. Cohen,et al. Hemodynamic regulation: investigation by spectral analysis. , 1985, The American journal of physiology.
[11] R. Jane,et al. Time-frequency analysis of heart rate variability as an aid to diagnose pathologies , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[12] M. Turiel,et al. Power Spectral Analysis of Heart Rate and Arterial Pressure Variabilities as a Marker of Sympatho‐Vagal Interaction in Man and Conscious Dog , 1986, Circulation research.
[13] F. Hlawatsch,et al. Linear and quadratic time-frequency signal representations , 1992, IEEE Signal Processing Magazine.
[14] W J McKenna,et al. Risk factors and stratification for sudden cardiac death in patients with hypertrophic cardiomyopathy. , 1994, British heart journal.
[15] S Cerutti,et al. Continuous monitoring of the sympatho-vagal balance through spectral analysis. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[16] R Lazzara,et al. Heart rate variability during specific sleep stages. A comparison of healthy subjects with patients after myocardial infarction. , 1995, Circulation.
[17] R. I. Kitney,et al. The beat-by-beat investigation of cardiovascular function : measurement, analysis, and applications , 1987 .
[18] S. Cerutti,et al. Time-variant power spectrum analysis for the detection of transient episodes in HRV signal , 1993, IEEE Transactions on Biomedical Engineering.
[19] G Yi,et al. T Wave Complexity in Patients with Hypertrophic Cardiomyopathy , 1998, Pacing and clinical electrophysiology : PACE.
[20] J. Fleiss,et al. Correlations among time and frequency domain measures of heart period variability two weeks after acute myocardial infarction. , 1992, The American journal of cardiology.
[21] Barry J Maron. Hypertrophic cardiomyopathy , 1997, The Lancet.
[22] M Vallverdú,et al. Spectral analysis of heart period variance (HPV)--a tool to stratify risk following myocardial infarction. , 1998, Journal of medical engineering & technology.