Detection of Acute Coronary Syndrome Based on Support Vector Machines and ECG.
Merve Begüm TerziOrhan ArikanPublished in: SIU (2019)
Keyphrases
- support vector
- learning machines
- detection algorithm
- large margin classifiers
- detection method
- automatic detection
- object detection
- false alarms
- anomaly detection
- general purpose
- logistic regression
- ecg signals
- support vector machine
- long term
- loss function
- false positives
- monitoring system
- beat classification
- detection accuracy
- acute coronary syndrome
- maximum margin
- mit bih arrhythmia database
- databases
- raw data
- event detection
- computer aided
- classification accuracy
- artificial neural networks
- feature extraction
- learning algorithm
- genetic algorithm
- neural network