Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification

作者：de Lannoy Gael^*; Francois Damien; Delbeke Jean; Verleysen Michel

来源：IEEE Transactions on Biomedical Engineering, 2012, 59(1): 241-247.

DOI：10.1109/TBME.2011.2171037

• Classification
• conditional random fields (CRFs)
• electrocardiogram (ECG)
• physiobank
• unbalance

This 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.

• 出版日期2012-1