TY - JOUR
AU - Budiarto, R
AB - The development of science and technology in the field of healthcare increasingly provides convenience in diagnosing respiratory system problem. Recording the breath sounds is one example of these developments. Breath sounds are recorded using a digital stethoscope, and then stored in a file with sound format. This breath sounds will be analyzed by health practitioners to diagnose the symptoms of disease or illness. However, the breath sounds is not free from interference signals. Therefore, noise filter or signal interference reduction system is required so that breath sounds component which contains information signal can be clarified. In this study, we designed a filter called a wavelet transform based filter. The filter that is designed in this study is using Daubechies wavelet with four wavelet transform coefficients. Based on the testing of the ten types of breath sounds data, the data is obtained in the largest SNRdB bronchial for 74.3685 decibels.
TI - Noise Reduction in Breath Sound Files Using Wavelet Transform Based Filter
JF - IOP Conference Series: Materials Science and Engineering
DO - 10.1088/1757-899X/190/1/012040
DA - 2017-04-01
UR - https://www.deepdyve.com/lp/iop-publishing/noise-reduction-in-breath-sound-files-using-wavelet-transform-based-NlckE5XOmm
SP - 012040
VL - 190
IS - 1
DP - DeepDyve
ER -