Discovering dangerous patterns in long-term ambulatory ECG recordings using a fast QRS detection algorithm and explorative data analysis.
Matteo PaolettiCarlo MarchesiPublished in: Comput. Methods Programs Biomed. (2006)
Keyphrases
- detection algorithm
- long term
- data analysis
- heart rate variability
- ecg signals
- pattern discovery
- detection method
- detection accuracy
- short term
- detection rate
- motion detection
- feature detection
- discovering interesting
- outlier detection
- vehicle detection
- corner detection
- mit bih arrhythmia database
- real time
- harris corner
- pattern mining
- moving objects
- monitoring system
- boundary detection
- data mining
- spectral analysis
- computational complexity
- machine learning
- sequential patterns
- visual features
- shot boundary detection
- fall detection
- video sequences
- three dimensional
- biomedical signals