Detection of QRS complex in ECG signal based on classification approach.
Bushra JalilOlivier LaligantEric FauvetOuadi BeyaPublished in: ICIP (2010)
Keyphrases
- ecg signals
- mit bih arrhythmia database
- beat classification
- pattern recognition
- classification accuracy
- power line
- heart rate
- detection method
- false positives
- biomedical signals
- text classification
- support vector machine
- pattern classification
- feature selection
- support vector machine svm
- decision trees
- atrial fibrillation
- training set
- automatic detection
- classification method
- machine learning
- class labels
- feature set
- extracting features
- heart rate variability
- neyman pearson
- training data
- non stationary
- critical care
- detection algorithm