Towards increased usability of noisy ECG signals in HRV-based classifiers.
Jelena Nikolic-PopovicRafik A. GoubranPublished in: MeMeA (2014)
Keyphrases
- ecg signals
- heart rate variability
- atrial fibrillation
- heart rate
- training data
- mit bih arrhythmia database
- support vector
- training set
- naive bayes
- linear classifiers
- classification algorithm
- noisy data
- electrical activity
- power line
- decision trees
- feature selection
- classifier combination
- machine learning algorithms