Beat-by-Beat Classification of ECG Signals Using Machine Learning Algorithms to Detect PVC Beats for Real-time Predictive Cardiac Health Monitoring.
I Hua TsaiBashir I. MorshedPublished in: BIBM (2022)
Keyphrases
- beat classification
- machine learning algorithms
- ecg signals
- health monitoring
- mit bih arrhythmia database
- monitoring system
- fuzzy expert systems
- real time
- benchmark data sets
- sensor data
- learning algorithm
- machine learning methods
- power supply
- machine learning
- continuous monitoring
- decision trees
- wearable sensors
- daily life
- smart environments
- heart rate
- smart home
- electrical activity
- transfer learning
- machine learning models
- input features
- sensor networks
- computer vision
- neural network
- activity recognition
- standard machine learning algorithms
- artificial intelligence
- heart rate variability
- multiscale
- prior knowledge
- higher order statistics
- text classification