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dc.contributor.authorSarlabous Uranga, Leonardo
dc.contributor.authorTorres Cebrián, Abel
dc.contributor.authorFiz Fernández, José Antonio
dc.contributor.authorMorera Prat, Josep Maria
dc.contributor.authorJané Campos, Raimon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherInstitut de Bioenginyeria de Catalunya
dc.date.accessioned2013-02-18T12:32:39Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationSarlabous, L. [et al.]. Evaluation and adaptive attenuation of the cardiac vibration interference in mechanomyographic signals. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: 28 August-1 September, 2012 San Diego, CA USA". San Diego, CA: Institute of Electrical and Electronics Engineers (IEEE), 2012, p. 3400-3403.
dc.identifier.isbn978-1-4244-4120-4
dc.identifier.urihttp://hdl.handle.net/2117/17825
dc.description.abstractThe study of the mechanomyographic signal of the diaphragm muscle (MMGdi) is a promising technique in order to evaluate the respiratory muscles effort. The relationship between amplitude and frequency parameters of this signal with the respiratory effort performed during respiration is of great interest for researchers and physicians due to its diagnostic potentials. However, MMGdi signals are frequently contaminated by a cardiac vibration or mechanocardiographic (MCG) signal. An adaptive noise cancellation (ANC) can be used to reduce the MCG interference in the recorded MMGdi activity. In this paper, it is evaluated the proposed ANC scheme by means of a synthetic MMGdi signal with a controlled MCG interference. The Pearson’s correlation coefficient (PCC) between both root mean square (RMS) and mean frequency (fm) of the synthetic MMGdi signal are considerably reduced with the presence of cardiac vibration noise (from 0.95 to 0.87, and from 0.97 to 0.76, respectively). With the ANC algorithm proposed the effect of the MCG noise on the amplitude and frequency of MMG parameters is reduced considerably (PCC of 0.93 and 0.97 for the RMS and fm, respectively). The ANC method proposed in this work is an interesting technique to attenuate the cardiac interference in respiratory MMG signals. Further investigation should be carried out to evaluate the performance of the ANC algorithm in real MMGdi signals.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina::Medicina interna
dc.subject.lcshBioengineering
dc.subject.lcshRespiratory organs--Diseases--Research
dc.subject.lcshLungs--Diseases, Obstructive.
dc.subject.lcshRespiratory muscles
dc.titleEvaluation and adaptive attenuation of the cardiac vibration interference in mechanomyographic signals
dc.typeConference report
dc.subject.lemacInsuficiència respiratòria
dc.subject.lemacRespiració -- Mesurament
dc.subject.lemacPulmons -- Malalties obstructives
dc.contributor.groupUniversitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics
dc.identifier.doi10.1109/EMBC.2012.6346695
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6346695&isnumber=6345844
dc.rights.accessRestricted access - publisher's policy
drac.iddocument11481624
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorSarlabous, L.; Torres, A.; Fiz, J.; Morera, J.; Jane, R.
upcommons.citation.contributorAnnual International Conference of the IEEE Engineering in Medicine and Biology Society
upcommons.citation.pubplaceSan Diego, CA
upcommons.citation.publishedtrue
upcommons.citation.publicationName34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: 28 August-1 September, 2012 San Diego, CA USA
upcommons.citation.startingPage3400
upcommons.citation.endingPage3403


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