A Novel 130.1 pJ/Decision Binary Tree Ensemble Classifier for an Energy Efficient Atrial Fibrillation Detecting ECG Processing System in 22 nm FDSOI.
Alexander BleitnerJacob GöppertMatthias KuhlYiannos ManoliPublished in: BioCAS (2023)
Keyphrases
- binary tree
- ensemble classifier
- atrial fibrillation
- ecg signals
- heart rate variability
- quadtree
- hierarchical structure
- multiresolution
- heart rate
- ensemble learning
- random forest
- image representation
- support vector machine
- ensemble methods
- tree structure
- linear combination
- image registration
- left atrium
- object recognition