Hidden Markov Models - An Introduction in the context of biomedical signal interpretation research

Mark van Gils

    Research output: Book/ReportReport


    Hidden Markov Models (HMMs) have been around for quite some time as a tool to classify data and study the mechanisms that produce those data. Traditionally HMMs have been used in speech recogni-tion, but plenty of other application examples are available. Nowadays their application in BioIT is per-haps the most important field. This document aims to provide an introduction to the HMM concept and give an idea of their potential applicability in BSI (Biosignal Interpretation) research. A short introduc-tion to HMMs is provided with the emphasis on practical use. An overview of available software and potential application areas completes this document.
    Original languageEnglish
    Place of PublicationTampere
    PublisherVTT Technical Research Centre of Finland
    Number of pages22
    Publication statusPublished - 2002
    MoE publication typeD4 Published development or research report or study

    Publication series

    SeriesVTT Information Technology. Research Report

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