Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models.
Manjeevan SeeraChee Peng LimWei Shiung LiewEinly LimChu Kiong LooPublished in: Expert Syst. Appl. (2015)
Keyphrases
- heart rate
- machine learning models
- blood pressure
- heart rate variability
- machine learning algorithms
- physiological signals
- machine learning approaches
- spam filtering
- decision trees
- ecg signals
- classification accuracy
- supervised learning
- machine learning
- text classification
- learning models
- feature vectors
- feature extraction
- classification rules
- support vector machine
- feature space
- support vector
- feature selection
- learning algorithm
- intrusion detection
- classification models
- active learning