Arrhythmia classification for non-experts using infinite impulse response (IIR)-filter-based machine learning and deep learning models of the electrocardiogram.
Mallikarjunamallu KKhasim SyedPublished in: PeerJ Comput. Sci. (2024)
Keyphrases
- learning models
- machine learning
- infinite impulse response
- machine learning algorithms
- classification models
- learning tasks
- machine learning models
- decision trees
- digital filters
- pattern recognition
- support vector machine
- supervised learning
- classification accuracy
- semi supervised learning
- text classification
- feature selection
- heart rate variability
- learning algorithm
- model selection
- learning problems
- data mining
- ecg signals
- feature space
- unsupervised learning
- computer vision
- loss function
- filter bank
- feature vectors
- image classification
- noise reduction
- filter design
- feature extraction
- image segmentation
- information extraction
- conditional random fields
- higher order
- support vector
- reinforcement learning