A Support System for ECG Segmentation Based on Hidden Markov Models

Julien Thomas (1) , Cédric Rose (1) , François Charpillet (1)

1 MAIA - Autonomous intelligent machine

Pharmaceutic studies require to analyze thousands of ECGs in order to evaluate the side effects of a new drug. In this paper we present a new support system based on the use of probabilistic models for automatic ECG segmentation. We used a bayesian HMM clustering algorithm to partition the training base, and we improved the method by using a multi-channel segmentation. We present a statistical analysis of the results where we compare different automatic methods to the segmentation of the cardiologist as a gold standard.

Domaines: Intelligence artificielle [cs.AI]; Cardiologie et système cardiovasculaire

Julien Thomas, Cédric Rose, François Charpillet. A Support System for ECG Segmentation Based on Hidden Markov Models. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - IEEE EMBC 2007, Aug 2007, Lyon, France. 4 p. ⟨inria-00170988⟩