Patient-specific ventricular beat classification without patient-specific expert knowledge: A transfer learning approach

J. Wiens, J. V. Guttag
2011 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
We present an adaptive binary classification algorithm, based on transductive transfer learning. We illustrate the method in the context of electrocardiogram (ECG) analysis. Knowledge gained from a population of patients is automatically adapted to patients' records to accurately detect ectopic beats. On patients from the MIT-BIH Arrhythmia Database, we achieve a median sensitivity of 94.59% and positive predictive value of 96.24%, for the binary classification task of separating premature
more » ... ting premature ventricular contractions (PVCs), a type of ectopic beat, from non-PVCs.
doi:10.1109/iembs.2011.6091453 pmid:22255676 dblp:conf/embc/WiensG11 fatcat:3xdcnghyebel5fhxavnsqyx5ba