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...

Полное описание

Библиографические подробности
Главные авторы:	Hughes, N, Roberts, S, Tarassenko, L
Формат:	Journal article
Язык:	English
Опубликовано:	2004

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