Detection of cardiac arrhythmia in electrocardiograms using adaptive feature extraction and modified support vector machines.
Chia-Ping ShenWen-Chung KaoYueh-Yiing YangMing-Chai HsuYuan-Ting WuFeipei LaiPublished in: Expert Syst. Appl. (2012)
Keyphrases
- feature extraction
- support vector
- learning machines
- feature selection
- mit bih arrhythmia database
- heart disease
- classification accuracy
- ecg signals
- feature extraction and classification
- detection algorithm
- false alarms
- large margin classifiers
- heart rate variability
- image classification
- preprocessing
- support vector machine
- anomaly detection
- image processing
- detection method
- logistic regression
- linear discriminant analysis
- machine learning
- feature vectors
- face recognition
- electrical activity
- object detection
- false positives
- automatic detection
- generalized likelihood ratio
- maximum margin
- generalization ability
- hyperplane
- svm classifier
- frequency domain
- training examples
- feature set
- dimensionality reduction
- image analysis