Arrhythmia Classification using Deep Learning and Machine Learning with Features Extracted from Waveform-based Signal Processing.
Po-Ya HsuChung-Kuan ChengPublished in: EMBC (2020)
Keyphrases
- deep learning
- machine learning
- unsupervised feature learning
- extracted features
- signal processing
- feature extraction
- feature vectors
- unsupervised learning
- classification accuracy
- restricted boltzmann machine
- pattern recognition
- feature space
- feature set
- decision trees
- text classification
- feature selection
- support vector machine
- image features
- model selection
- supervised learning
- information extraction
- support vector
- feature subset
- image classification
- reinforcement learning
- deep belief networks
- co occurrence
- mental models
- image processing
- computer vision