Approximate Computing in Critical Applications: ECG Arrhythmia Classification.
Ardalan NajafiAmir NajafiJulia MüllerWanli YuAlberto García OrtizPublished in: MOCAST (2023)
Keyphrases
- heart rate variability
- pattern recognition
- mit bih arrhythmia database
- preprocessing
- automatic classification
- feature extraction
- ecg signals
- classification accuracy
- beat classification
- support vector machine
- decision trees
- classification systems
- classification scheme
- classification method
- decision rules
- machine learning methods
- classification rate
- classification process
- feature selection
- support vector
- text classification
- high dimensional
- hidden markov models
- data mining
- machine learning
- feature space
- exact solution
- supervised classification
- neural network
- signal processing
- classification models
- benchmark data sets
- pattern classification
- classification rules
- unsupervised learning