Semi-supervised learning of probabilistic models for ECG segmentation.

Semi-supervised learning of probabilistic models for ECG segmentation.

We present a novel semi-supervised learning algorithm, based upon the EM algorithm for maximum likelihood estimation, which can be used to learn probabilistic models from subjectively labelled data. We demonstrate the method on the task of automated ECG segmentation, with a particular emphasis on th...

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Dades bibliogràfiques
Autors principals:	Hughes, N, Roberts, S, Tarassenko, L
Format:	Journal article
Idioma:	English
Publicat:	2004

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