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dc.contributor.authorTorres Cebrián, Abel
dc.contributor.authorFiz Fernández, José Antonio
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.accessioned2015-04-10T11:09:17Z
dc.date.available2015-04-13T02:32:25Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationTorres, A.; Fiz, J.; Jane, R. Cancellation of cardiac interference in diaphragm EMG signals using an estimate of ECG reference signal. A: "IFMBE Proceedings : XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 : MEDICON 2013, 25-28 September 2013, Seville, Spain". 2014, p. 1000-1004.
dc.identifier.isbn978-3-319-00845-5
dc.identifier.urihttp://hdl.handle.net/2117/27250
dc.description.abstractThe analysis of the electromyographic signal of the diaphragm muscle (EMGdi) can provide important information in order to evaluate the respiratory muscular function. However, EMGdi signals are usually contaminated by the electrocardiographic (ECG) signal. An adaptive noise cancellation (ANC) based on event-synchronous cancellation can be used to reduce the ECG interference in the recorded EMGdi activity. In this paper, it is proposed an ANC scheme for cancelling the ECG interference in EMGdi signals using only the EMGdi signal (without acquiring the ECG signal). In this case the detection of the QRS complex has been performed directly in the EMGdi signal, and the ANC algorithm must be robust to false or missing QRS detections. Furthermore, an automatic criterion to select the adaptive constant of the LMS algorithm has been proposed (µ). The µ constant is selected automatically so that the canceling signal energy equals the energy of the reference signal (which is an estimation of the ECG interference present in the EMGdi signal). This approach optimizes the tradeoff between cancellation of ECG interference and attenuation of EMG component. A number of weights equivalent of a time window that contains several QRS complexes is selected in order to make the algorithm robust to QRS detection errors.
dc.format.extent5 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
dc.subject.lcshElectromyography--Data processing
dc.subject.otherAdaptive Canceller
dc.subject.otherEMG
dc.subject.otherDiaphragm muscle
dc.titleCancellation of cardiac interference in diaphragm EMG signals using an estimate of ECG reference signal
dc.typeConference report
dc.subject.lemacElectromiografia
dc.subject.lemacMúsculs -- Patologia
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation
dc.identifier.doi10.1007/978-3-319-00846-2_248
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-3-319-00846-2_248
dc.rights.accessOpen Access
local.identifier.drac15551771
dc.description.versionPostprint (author’s final draft)
local.citation.authorTorres, A.; Fiz, J.; Jane, R.
local.citation.publicationNameIFMBE Proceedings : XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 : MEDICON 2013, 25-28 September 2013, Seville, Spain
local.citation.startingPage1000
local.citation.endingPage1004


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