TUAH JIHAN, MANULLANG (2019) ANALISIS PERBANDINGAN METODE DUAL-TREE DISCRETE WAVELET TRANSFORM DAN MOVING AVERAGE PADA DENOISING SINYAL PHONOCARDIOGRAM. Undergraduate Thesis thesis, Institut Telkom Purwokerto.
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Abstract
Diagnosis of heart health conditions using electrocardiogram is common but high funding and the use of tools that require special expertise limits the spread as a diagnostic tool. The use of phonocardiogram (PCG) based devices can overcome this problem but the presence of noise coincides temporally with heart sound information limiting the development of PCG-based devices. This research conducts signal processing to eliminate noise contained in PCG signals using the Moving Average (MA) and Dual-Tree Discrete Wavelet Transform (DTDWT) methods. The test variations are the Moving Average type in the Moving Average Method, and the thresholding type in the Dual-Tree Discrete Wavelet Transform method. The results of the study show that the Dual-Tree Discrete Wavelet Transform Method is a better method compared to Moving Average to eliminate noise due to its ability to divide the signal into several subband frequencies. Keywords : Electrocardiogram, Phonocardiogram, Dual-tree Discrete Wavelet Transform, Moving Average, Mean-squared error, Signal-to-noise ratio, Root meansquared error
| Item Type: | Thesis (Undergraduate Thesis) |
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| Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T201 Patents. Trademarks |
| Divisions: | Faculty of Telecommunication and Electrical Engineering > Telecommunication Engineering |
| Depositing User: | Users 218 not found. |
| Date Deposited: | 02 Jul 2020 12:13 |
| Last Modified: | 26 Apr 2021 03:23 |
| URI: | http://repository.ittelkom-pwt.ac.id/id/eprint/5540 |
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