Analisis perbandingan metode transformasi wavelet diskrit dan filter hilbert diskrit pada denoising sinyal phonocardiogram

Tri, Khaerudin (2020) Analisis perbandingan metode transformasi wavelet diskrit dan filter hilbert diskrit pada denoising sinyal phonocardiogram. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.

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Abstract

Thecontentofnoiseinthephonocardiogram(PCG)signalisamajorproblemin theanalysisof heartconditions thatgenerallyoccurinthe recordingprocess. The developmentofamethodofeliminatingnoise(denoising)isthegoaloftheresearchthat hasbeenconducted.Observationofsystemperformanceisdoneusingtheadditionof AdditiveWhiteGaussianNoise(AWGN)noise,calculatingtheestimatednoiselevel, threshold,denoisingfortheDiscreteWaveletTransformation(DWT)methodandthe DiscreteHilbertFilter(DHF)methodbyconvolutionofevenandoddDHF.Theresults obtainedusingtheDWTmethodwithoutBandPassFilter(BPF)produceanaverage valueofSignalNoisetoRatio(SNR)of13.90dBandMeanSquareError(MSE)of 0.01%.DWTresultswithBPFproduceanaverageSNRof12.89dBandMSEof0.30%. DHFresultswithoutBPFproduceanaverageSNRof16.54dBandMSEof1.55%.The resultsofDHFwithBPFproduceanaverageSNRvalueof17.30dBandMSEof1.51%. The results obtained show that the denoising process using Wavelet Transform transformsisabletoprovideagooddenominatingPhonocardiogramsignal,compared tousingaDiscreteHilbertFilter. Keywords:Phonocardiogram(PCG),AdditiveWhiteGaussianNoise(AWGN),Discrete WaveletTransformation(DWT),DiscreteHilbertFilter(DHF),SignalNoisetoRatio (SNR),MeanSquareError(MSE).

Item Type: Thesis (Undergraduate Thesis)
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Telecommunication and Electrical Engineering > Telecommunication Engineering
Depositing User: KinatJr
Date Deposited: 11 Jun 2020 07:34
Last Modified: 22 Apr 2021 01:42
URI: http://repository.ittelkom-pwt.ac.id/id/eprint/5727

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