Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection.
Jeevan K. PantSridhar KrishnanPublished in: EMBC (2016)
Keyphrases
- compressive sensing
- ecg signals
- machine learning
- heart rate variability
- mit bih arrhythmia database
- beat classification
- pattern recognition
- heart rate
- signal processing
- random projections
- image recovery
- spectral analysis
- information extraction
- natural language processing
- unsupervised learning
- cardiac arrhythmias
- data sets
- feature vectors
- multiscale
- feature extraction
- feature selection
- computer vision
- information retrieval
- data mining