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IEEE Trans Biomed Eng · Jan 2012
Weighted conditional random fields for supervised interpatient heartbeat classification.
- Gaël de Lannoy, Damien Francois, Jean Delbeke, and Michel Verleysen.
- theMachine Learning Group, Université Catholique de Louvain, B-1348 Louvain-La-Neuve, Belgium. gael.delannoy@uclouvain.be
- IEEE Trans Biomed Eng. 2012 Jan 1;59(1):241-7.
AbstractThis paper proposes a method for the automatic classification of heartbeats in an ECG signal. Since this task has specific characteristics such as time dependences between observations and a strong class unbalance, a specific classifier is proposed and evaluated on real ECG signals from the MIT arrhythmia database. This classifier is a weighted variant of the conditional random fields classifier. Experiments show that the proposed method outperforms previously reported heartbeat classification methods, especially for the pathological heartbeats.© 2011 IEEE
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