An Energy-Efficient ECG Processor With Weak-Strong Hybrid Classifier for Arrhythmia Detection.
Zhijian ChenJiahui LuoKaiwen LinJiaquan WuTao-Tao ZhuXiaoyan XiangJianyi MengPublished in: IEEE Trans. Circuits Syst. II Express Briefs (2018)
Keyphrases
- beat classification
- ecg signals
- mit bih arrhythmia database
- heart rate variability
- automatic detection
- false alarms
- discriminative classifiers
- detection algorithm
- training data
- feature space
- false positives
- classification algorithm
- support vector machine classifier
- false negative
- energy efficient
- data sets
- detection method
- anomaly detection
- support vector
- high speed
- machine learning
- feature selection
- higher order statistics
- spam detection
- classification scheme
- feature set
- monitoring system
- classification rate
- parallel processing
- classification process
- sensor networks
- computer architecture
- support vector machine
- signal processing
- training set
- classification method
- support vector machine svm
- learning algorithm
- class labels