Clustering fetal heart rate tracings by compression

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dc.creatorSantos, C. Costa
dc.creatorBernardes, J.
dc.creatorVitanyi, P.
dc.creatorAntunes, L.
dc.date2006-12-07
dc.date.accessioned2026-07-07T07:35:05Z
dc.date.available2026-07-07T07:35:05Z
dc.descriptionFetal heart rate (FHR) monitoring, before and during labor, is a very important medical practice in the detection of fetuses in danger. We clustered FHR tracings by compression in order to identify abnormal ones. We use a recently introduced approach based on algorithmic information theory, a theoretical, rigorous and well-studied notion of information content in individual objects. The new method can mine patterns in completely different areas, there are no domain-specific parameters to set, and it does not require specific background knowledge. At the highest level the FHR tracings were clustered according to an unanticipated feature, namely the technology used in signal acquisition. At the lower levels all tracings with abnormal or suspicious patterns were clustered together, independent of the technology used. Moreover, FHR tracings with future poor neonatal outcomes were included in the cluster with other suspicious patterns.
dc.description5 pages, pdf, 1 figure, Proc. 19th IEEE Intn'l Symp. Computer-Based Medical Systems, 2006, 685-690
dc.identifierhttps://arxiv.org/abs/q-bio/0612013
dc.identifierhttp://arxiv.org/abs/q-bio/0612013
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/119981
dc.subjectTissues and Organs
dc.subjectComputer Vision and Pattern Recognition
dc.subjectInformation Retrieval
dc.subjectQuantitative Methods
dc.titleClustering fetal heart rate tracings by compression
dc.typetext

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