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  • Title: A support system for ECG segmentation based on Hidden Markov Models.
    Author: Thomas J, Rose C, Charpillet F.
    Journal: Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3228-31. PubMed ID: 18002683.
    Abstract:
    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.
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