Vis enkel innførsel

dc.contributor.authorKölle, Konstanze
dc.contributor.authorAftab, Muhammad Faisal
dc.contributor.authorAndersson, Leif Erik
dc.contributor.authorFougner, Anders Lyngvi
dc.contributor.authorStavdahl, Øyvind
dc.date.accessioned2019-04-01T11:40:31Z
dc.date.available2019-04-01T11:40:31Z
dc.date.created2019-03-27T12:39:38Z
dc.date.issued2019
dc.identifier.citationBiomedical engineering online. 2019, 18 (28), .nb_NO
dc.identifier.issn1475-925X
dc.identifier.urihttp://hdl.handle.net/11250/2592698
dc.description.abstractBackground The analysis of abdominal sounds can help to diagnose gastro-intestinal diseases. Sounds originating from the stomach and the intestine, the so-called bowel sounds, occur in various forms. They are described as loose successions or clusters of rather sudden bursts. Realistic recordings of abdominal sounds are contaminated with noise and artifacts from which the bowel sounds must be differentiated. Methods The proposed intrinsic mode function-fractal dimension (IMF-FD) filtering utilizes the property of the multivariate empirical mode decomposition (MEMD) to behave as a series of band pass filters. The MEMD decomposes the abdominal signal into its different frequency components. The resulting intrinsic mode functions (IMFs) are modulated in amplitude and frequency where transient sonic events occur. Based on the complexity of the IMFs, measured by their fractal dimension (FD) in sliding windows, the information-carrying IMFs are selected. The filtered signal is formed as the superposition of all selected IMFs. The IMF-FD filter not only enhances the non-linear components of the original signal but also segments them from the rest. Another important aspect of this work is that typical artifacts that occur in the same frequency range as bowel sounds can be subsequently eliminated by heuristic rules. Conclusions The method is tested on a realistic, contaminated data set with promising performance: close to 100% of the manually labeled bowel sounds are identified.nb_NO
dc.language.isoengnb_NO
dc.publisherBMC (part of Springer Nature)nb_NO
dc.relation.urihttps://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-019-0646-1
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectTarmlydernb_NO
dc.subjectBowel soundsnb_NO
dc.subjectAkustikknb_NO
dc.subjectAcousticsnb_NO
dc.subjectMage-tarmsykdommer / gastrointestinale sykdommernb_NO
dc.subjectGastrointestinal Diseasesnb_NO
dc.subjectDigital signalbehandlingnb_NO
dc.subjectDigital signal processingnb_NO
dc.titleData Driven Filtering of Bowel Sounds Using Multivariate Empirical Mode Decompositionnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Medisinsk teknologi: 620nb_NO
dc.subject.nsiVDP::Medical technology: 620nb_NO
dc.source.pagenumber20nb_NO
dc.source.volume18nb_NO
dc.source.journalBiomedical engineering onlinenb_NO
dc.source.issue28nb_NO
dc.identifier.doi10.1186/s12938-019-0646-1
dc.identifier.cristin1688196
dc.relation.projectSamarbeidsorganet mellom Helse Midt-Norge og NTNU: 46075403nb_NO
dc.relation.projectNorges forskningsråd: 248872nb_NO
dc.description.localcode© The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/)nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Navngivelse 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Navngivelse 4.0 Internasjonal