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

Institut Teknologi Telkom Purwokerto

Author

Tri, Khaerudin

Subject

T Technology (General) 

Datestamp

2021-04-22 01:42:40 

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). 

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