Classification and regression of stenosis using an in-vitro pulse wave data set: Dependence on heart rate, waveform and location.
Alexander MairMichelle WisotzkiStefan BernhardPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- heart rate
- data sets
- training set
- classification accuracy
- heart rate variability
- support vector
- model selection
- regression problems
- training data
- classification algorithm
- text classification
- physical activity
- feature selection
- blood pressure
- feature vectors
- feature extraction
- support vector machine svm
- magnetic resonance spectroscopy
- physiological signals
- machine learning methods
- regression model
- support vector machine
- data mining