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Performance study of adaptive filtering algorithms for noise cancellation of ECG signal

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dc.citedby20
dc.contributor.authorIslam S.Z.en_US
dc.contributor.authorIslam S.Z.en_US
dc.contributor.authorJidin R.en_US
dc.contributor.authorAli M.A.M.en_US
dc.contributor.authorid35746021600en_US
dc.contributor.authorid55432804400en_US
dc.contributor.authorid6508169028en_US
dc.contributor.authorid6507416666en_US
dc.date.accessioned2023-12-28T07:30:42Z
dc.date.available2023-12-28T07:30:42Z
dc.date.issued2009
dc.description.abstractRemoval of noises from ECG (Electrocardiogram) signal is a classical problem. Moreover, nullifying AC and DC noises using the two adaptive algorithms-the LMS and the RLS from the ECG is a new study in biomedical science. In this paper, the four types of AC and DC noises have been implemented according to their basic properties. After that, these noises have been mixed with ECG signal and nullify these noises using the LMS and the RLS algorithms. At the end of this paper, a performance study has been done between these algorithms based on their parameters and also discussed the effect of filter length and the corresponding correlation coefficient. Results indicate that the DC bias noises cannot be handled by the LMS filtering whereas the RLS can handle both types of noises. Also, it is true for both algorithms that the filter length is proportional to MSE (Mean Square Error) rate and it takes more time to converge for both algorithms. Furthermore, most of the cases the RLS has achieved best effective noise cancellation performance although its convergence time is slightly high. But eventually its error has always dipped down below that of the LMS algorithm. �2009 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5397744
dc.identifier.doi10.1109/ICICS.2009.5397744
dc.identifier.scopus2-s2.0-77949587204
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77949587204&doi=10.1109%2fICICS.2009.5397744&partnerID=40&md5=845a48d0b674f859a577d89359473d7c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29665
dc.sourceScopus
dc.sourcetitleICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing
dc.subjectAC and DC Noises
dc.subjectECG signal
dc.subjectLMS and RLS algorithms
dc.subjectAdaptive filtering
dc.subjectAdaptive filters
dc.subjectElectrocardiography
dc.subjectElectrochromic devices
dc.subjectMean square error
dc.subjectSignal processing
dc.subjectSpurious signal noise
dc.subjectAdaptive filtering algorithms
dc.subjectBasic properties
dc.subjectBiomedical science
dc.subjectClassical problems
dc.subjectConvergence time
dc.subjectCorrelation coefficient
dc.subjectDC bias
dc.subjectDC noise
dc.subjectECG signals
dc.subjectFilter length
dc.subjectLMS algorithms
dc.subjectNew study
dc.subjectNoise cancellation
dc.subjectPerformance study
dc.subjectRLS algorithms
dc.subjectAdaptive algorithms
dc.titlePerformance study of adaptive filtering algorithms for noise cancellation of ECG signalen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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