Electrocardiogram pattern recognition and analysis based on artificial neural networks and support vector machines: a review.

@article{Sansone2013ElectrocardiogramPR,
  title={Electrocardiogram pattern recognition and analysis based on artificial neural networks and support vector machines: a review.},
  author={Mario Sansone and Roberta Fusco and Alessandro Pepino and Carlo Sansone},
  journal={Journal of healthcare engineering},
  year={2013},
  volume={4 4},
  pages={465-504}
}
Computer systems for Electrocardiogram (ECG) analysis support the clinician in tedious tasks (e.g., Holter ECG monitored in Intensive Care Units) or in prompt detection of dangerous events (e.g., ventricular fibrillation). Together with clinical applications (arrhythmia detection and heart rate variability analysis), ECG is currently being investigated in biometrics (human identification), an emerging area receiving increasing attention. Methodologies for clinical applications can have both… CONTINUE READING