Machine learning and IoT-based cardiac arrhythmia diagnosis using statistical and dynamic features of ECG.
R. Lakshmi DeviV. KalaivaniPublished in: J. Supercomput. (2020)
Keyphrases
- ecg signals
- heart disease
- machine learning
- heart rate variability
- atrial fibrillation
- cardiac arrhythmias
- mit bih arrhythmia database
- medical diagnosis
- statistical methods
- pattern recognition
- management system
- spectral analysis
- beat classification
- machine learning algorithms
- machine learning methods
- heart rate
- clinically relevant
- electrical activity
- statistical inference
- model based diagnosis
- supervised learning
- computer vision
- feature selection
- fault diagnosis
- text mining
- decision trees
- spect images
- artificial intelligence
- learning algorithm
- fault detection
- support vector machine
- statistical analysis
- cloud computing
- natural language processing
- expert systems
- text classification
- data mining