Impact of ECG Signal Preprocessing and Filtering on Arrhythmia Classification Using Machine Learning Techniques.
Hermes Andrés Ayala-CucasEdison Alexander Mora-PiscalDagoberto Mayorca-TorresDiego Hernán Peluffo-OrdóñezAlejandro J. León-SalasPublished in: IBERAMIA (2022)
Keyphrases
- ecg signals
- preprocessing
- mit bih arrhythmia database
- beat classification
- feature extraction
- classification accuracy
- image classification
- text classification
- support vector machine svm
- pattern classification
- classification method
- svm classifier
- pattern recognition
- extracting features
- support vector machine
- machine learning
- class labels
- support vector
- decision trees
- training set
- preprocessing stage
- preprocessing steps
- heart rate variability
- power line
- feature selection