Characterization of noise in long-term ECG monitoring with machine learning based on clinical criteria.
Roberto Holgado-CuadradoCarmen Plaza-SecoLisandro LovisoloManuel Blanco-VelascoPublished in: Medical Biol. Eng. Comput. (2023)
Keyphrases
- long term
- machine learning
- monitoring system
- short term
- blood glucose
- short term and long term
- acute myocardial infarction
- intensive care
- computer vision
- machine learning algorithms
- real time
- information extraction
- noise model
- critical care
- ecg signals
- medical domain
- clinical trials
- noise level
- random noise
- pattern recognition
- noise reduction
- signal to noise ratio
- machine learning methods
- learning algorithm
- decision trees
- text mining
- natural language processing
- supervised learning
- active learning
- clinical data
- median filter
- explanation based learning
- intensive care unit
- data mining
- missing data
- biomedical signals
- artificial intelligence
- computer science
- condition monitoring
- support vector machine
- evaluation criteria
- knowledge acquisition
- decision support
- inductive logic programming
- noisy images