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Retrieving heart rate sequences
Mälardalen University.
2006 (English)In: International journal on artificial intelligence tools, ISSN 0218-2130, Vol. 15, no 6, p. 1091-1106Article in journal (Refereed) Published
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Abstract [en]

In this paper, we present a method with a low complexity for analysing short and dynamic biomedical sequences. The method uses the Daubechies D4 wavelet in combination with similarity fitness schemes for retrieval. We also present a more traditional way of retrieving dynamical biomedical sequences based on stretching the sequences in time. The first mentioned method has been shown to outperform Fourier based methods in retrieving biomedical sequences of dynamic lengths, as well as the Haar wavelet.

Place, publisher, year, edition, pages
2006. Vol. 15, no 6, p. 1091-1106
Keywords [en]
Biomedical time series, Retrieval, Wavelets
Identifiers
URN: urn:nbn:se:mdh:diva-31756DOI: 10.1142/S0218213006003132ISI: 000243118500014Scopus ID: 2-s2.0-33845658283OAI: oai:DiVA.org:mdh-31756DiVA, id: diva2:936490
Available from: 2016-06-14 Created: 2016-06-07 Last updated: 2017-11-28Bibliographically approved

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CiteExportLink to record
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