Towards Self-Supervised Learning of ECG Signal Representation for the Classification of Acute Stress Types.
Rajdeep K. NathJaakko TervonenJohanna NärväinenKati PetterssonJani MäntyjärviPublished in: ACM Great Lakes Symposium on VLSI (2023)
Keyphrases
- supervised learning
- learning phase
- classification accuracy
- learning process
- feature construction
- learning algorithm
- ecg signals
- pattern recognition
- decision trees
- feature space
- classification algorithm
- incremental learning
- feature representation
- reinforcement learning
- feature extraction
- probability distribution
- support vector
- image representation
- speech recognition
- learning tasks
- early detection