RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals.
Amin AminifarSoheil KhooyoozAnice JahanjooSalar ShakibhamedanNima TaheriNejadPublished in: ISCAS (2024)
Keyphrases
- machine learning
- noisy environments
- ecg signals
- pattern recognition
- heart rate
- object recognition
- signal processing
- biomedical signals
- recognition accuracy
- recognition rate
- explanation based learning
- physiological signals
- visual recognition
- computer vision
- recognition algorithm
- text mining
- feature extraction
- line segments
- action recognition
- recognition process
- feature selection
- text classification
- machine learning methods
- automatic recognition
- learning algorithm
- reinforcement learning
- model selection
- low signal to noise ratio
- noisy data
- learning tasks
- learning systems
- neural network
- computational intelligence
- natural language processing
- computer science
- decision trees
- data mining