Development and Evaluation of a Portable ECG Monitoring System for Automated Classification of Normal and Abnormal ECG Signal Using Random Forest with XGBoost.
Abdi DharmaPoltak SihombingHerman MawengkangSyahril EfendiAndrian Reinaldo CrispinPublished in: ICT (2023)
Keyphrases
- monitoring system
- random forest
- ecg signals
- automated classification
- random forests
- decision trees
- remote monitoring
- health monitoring
- feature set
- mit bih arrhythmia database
- multi label
- ensemble methods
- ensemble classifier
- heterogeneous wireless sensor networks
- heart rate
- anomaly detection
- base classifiers
- text categorization
- lightweight
- power line
- virtual instrument
- biomedical signals
- beat classification
- classification accuracy