Continuous blood pressure monitoring using photoplethysmography and electrocardiogram signals by random forest feature selection and GWO-GBRT prediction model.
Shimin LiuZhiwen HuangJianmin ZhuBaolin LiuPanyu ZhouPublished in: Biomed. Signal Process. Control. (2024)
Keyphrases
- heart rate
- random forest
- prediction model
- blood pressure
- feature set
- feature selection
- blood glucose
- selected features
- stepwise regression
- fold cross validation
- intensive care unit
- physiological signals
- ecg signals
- regression model
- neural network
- decision trees
- ensemble methods
- multi label
- feature extraction
- ensemble classifier
- feature space
- feature subset
- text categorization
- machine learning
- classification models
- support vector
- feature vectors
- multi class
- data sets
- classification accuracy
- non stationary
- text classification
- base classifiers
- support vector machine svm