Signal Processing Methods for Identification of Sudden Cardiac Death

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Communications in Computer and Information Science

• Publication date

  2018-02-09

• Fields of study

  Medicine, Engineering

• Identifiers
  DOI 10.1007/978-981-13-3804-5_5
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Early stage prediction of sudden cardiac death

  2017cited by this paper
• Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index

  2016cited by this paper
• Ventricular Tachycardias: Characteristics and Management.

  2016cited by this paper
• Heart Rate Variability Analysis for Early Stage Prediction of Sudden Cardiac Death

  2016cited by this paper
• Utility of electrophysiological studies to predict arrhythmic events.

  2015cited by this paper
• Automated Prediction of Sudden Cardiac Death Risk Using Kolmogorov Complexity and Recurrence Quantification Analysis Features Extracted from HRV Signals

  2015cited by this paper
• Public Health Burden of Sudden Cardiac Death in the United States

  2014cited by this paper
• Machine learning approach for sudden cardiac arrest prediction based on optimal heart rate variability features

  2014cited by this paper
• A Novel Approach to Predict Sudden Cardiac Death (SCD) Using Nonlinear and Time-Frequency Analyses from HRV Signals

  2014cited by this paper
• Nucleus Extraction of Uterine Cervical Pap-Smears Using Marker Information and Watershed Algorithm

  2014cited by this paper
• Duration of QRS Complex in Resting Electrocardiogram Is a Predictor of Sudden Cardiac Death in Men

  2012cited by this paper
• Measuring Left Ventricular Ejection Fraction - Techniques and Potential Pitfalls

  2012cited by this paper
• Preventive Effectiveness of Implantable Cardioverter Defibrillator in Reducing Sudden Cardiac Death in the Chinese Population: A Multicenter Trial of ICD Therapy versus Non‐ICD Therapy

  2012cited by this paper
• Electrocardiographic predictors of out-of-hospital sudden cardiac arrest in patients with coronary artery disease.

  2012cited by this paper
• Ventricular arrhythmias and sudden cardiac death.

  2012cited by this paper
• Microvolt T-wave alternans physiological basis, methods of measurement, and clinical utility--consensus guideline by International Society for Holter and Noninvasive Electrocardiology.

  2011cited by this paper
• Review on Non-Invasive Risk Stratification of Sudden Cardiac Death

  2011cited by this paper
• Early detection of sudden cardiac death by using classical linear techniques and time-frequency methods on electrocardiogram signals

  2011cited by this paper
• Early identification of risk factors for sudden cardiac death

  2010cited by this paper
• Association of Holter-based measures including T-wave alternans with risk of sudden cardiac death in the community-dwelling elderly: the Cardiovascular Health Study.

  2010cited by this paper
• Heart Rate Turbulence to Guide Treatment for Prevention of Sudden Death

  2010cited by this paper
• Acute Coronary Syndrome Prediction Using Data Mining Techniques- An Application

  2009cited by this paper
• Sudden Deaths in Young Competitive Athletes: Analysis of 1866 Deaths in the United States, 1980–2006

  2009cited by this paper
• Filtering electrocardiographic signals using an unbiased and normalized adaptive noise reduction system.

  2009cited by this paper
• American Heart Association/american College of Cardiology Foundation/heart Rhythm Society scientific statement on noninvasive risk stratification techniques for identifying patients at risk for sudden cardiac death: a scientific statement from the American Heart Association Council on Clinical Cardi

  2008cited by this paper
• T-wave alternans and sudden cardiac death.

  2008cited by this paper
• Heart rate turbulence: standards of measurement, physiological interpretation, and clinical use: International Society for Holter and Noninvasive Electrophysiology Consensus.

  2008cited by this paper
• Treating patients with ventricular ectopic beats

  2006cited by this paper
• Sudden Cardiac Death not Related to Coronary Atherosclerosis

  2006cited by this paper
• Heart Rate Turbulence: A New Predictor for Risk of Sudden Cardiac Death

  2005cited by this paper
• Cost-effectiveness of implantable cardioverter-defibrillators.

  2005cited by this paper
• T-wave alternans: marker, mechanism, and methodology for predicting sudden cardiac death.

  2003cited by this paper
• Cardiovascular epidemiology in the Asia-Pacific region.

  2001cited by this paper
• Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol

  2000cited by this paper
• Measurement, interpretation and clinical potential of QT dispersion.

  2000cited by this paper
• Heart-rate turbulence after ventricular premature beats as a predictor of mortality after acute myocardial infarction.

  1999cited by this paper
• QT dispersion as a predictor of long-term mortality in patients with acute myocardial infarction and clinical evidence of heart failure.

  1999cited by this paper
• Dispersion of ventricular repolarization and arrhythmic cardiac death in coronary artery disease.

  1994cited by this paper
• Baroreceptor Reflex Control of Heart Rate: A Predictor of Sudden Cardiac Death

  1982cited by this paper

• No citing papers are available for this paper.