Abstract
Stethoscope become standard equipment used medical personnel to perform initial checks on patients. Stethoscope in general has a function for auscultation, which is listening to the sounds that occur in the body. The sound produced by the biological activity of the body's organs, like the heart, lungs and digestive system. The heart is one organ that plays a role in the circulatory system. Contraction of the heart that can cause pulsation felt in the arteries in some places. Instrument used for the detection of clinically sound heart is an acoustic stethoscope. Acoustic stethoscope has a weakness, depending on the hearing of each physician. Diagnosis of each physician may vary. Sensitivity of the ear of each doctor is different. Noise signals generated in the electronic stethoscope will be analyzed using Wavelet. In this research, recognition of heart sounds using a stethoscope sound signal based on wavelet decomposition. Heart sound signal is decomposed up to level 8 using Daubechies 3 wavelet (db3). Energy of each subband is calculated spectogram. Analysis of cardiac auscultation signals with wavelet daubachies, system can calculate the value of heartrate with 78% for heart sound pattern of early and late systolic murmur, 63% Diastolic heart sound patterns Rumble and 85% for normal heart sound patterns.
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