Detecting QRS complex in ECG using wavelets and cubic spline interpolation

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dc.contributor.authorRodrigues L.C.
dc.contributor.authorMarengoni M.
dc.date.accessioned2024-03-13T01:07:46Z
dc.date.available2024-03-13T01:07:46Z
dc.date.issued2012
dc.description.abstractDue to its easy application and low cost, the eletrocardio-gram (ECG) is a resource with large application in the heart health assessment and, among all the ECG components, the QRS Complex is the most significant fiducial point. A fundamental step in any study of digital signal processing of ECG, as well heart beats classification, is the QRS complex detection. Several works on QRS detection are available in the literature, however the robustness and high level of precision is still a matter of studies. In this work we present a QRS detector relying in Daubechies wavelets transform and cubic spline interpolation. Using waveletes transform, the ECG is first pre-processed for noise removal and baseline wandering and then, combining wavelets and cubic spline interpolation, the QRS complex is enhanced and other noise components are attenuated. This signal is submitted to a peak detector module whose purpose is to identify the R wave. For development and validation of this work we used the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) Arrithmias database. The final result showed a sensitivity level above 96.5% in most of the tested records, this results are presented at the end of this work.
dc.description.firstpage129
dc.description.lastpage135
dc.identifier.doi10.2316/P.2012.764-135
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36791
dc.relation.ispartofProceedings of the 9th IASTED International Conference on Biomedical Engineering, BioMed 2012
dc.rightsAcesso Restrito
dc.subject.otherlanguageBiomedical signal processing
dc.subject.otherlanguageECG
dc.subject.otherlanguageHealth care information systems
dc.subject.otherlanguageQRS complex
dc.subject.otherlanguageWavelets
dc.titleDetecting QRS complex in ECG using wavelets and cubic spline interpolation
dc.typeArtigo de evento
local.scopus.citations2
local.scopus.eid2-s2.0-84863670927
local.scopus.subjectBaseline wandering
local.scopus.subjectBiomedical signal processing
local.scopus.subjectCubic-spline interpolation
local.scopus.subjectDaubechies Wavelet
local.scopus.subjectFiducial points
local.scopus.subjectHealth assessments
local.scopus.subjectHealth care information system
local.scopus.subjectHeart beats
local.scopus.subjectLow costs
local.scopus.subjectMassachusetts
local.scopus.subjectNoise components
local.scopus.subjectNoise removal
local.scopus.subjectPeak detectors
local.scopus.subjectQRS complex detection
local.scopus.subjectQRS complexes
local.scopus.subjectQRS detection
local.scopus.subjectQRS detector
local.scopus.subjectWavelets
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863670927&origin=inward
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