ECG Arrhythmia Classification Using Mahalanobis-Taguchi System in a Body Area Network Environment.
Aftab AliNur Al Hasan HaldarFarrukh Aslam KhanSana UllahPublished in: GLOBECOM (2015)
Keyphrases
- heart rate variability
- pattern recognition
- pattern classification
- beat classification
- nearest neighbor classification
- real time
- classification accuracy
- automatic classification
- classification method
- human body
- support vector machine
- wireless sensor networks
- machine learning
- support vector
- mobile robot
- dynamic environments
- ecg signals
- classification scheme
- classification models
- feature space
- image classification
- machine learning algorithms
- feature vectors
- distance function
- classification algorithm
- feature extraction
- computer networks
- radial basis function network
- mit bih arrhythmia database
- metric learning
- complex networks
- support vector machine svm
- text classification
- peer to peer
- supervised learning
- preprocessing
- feature selection