Noise Reduction in Breath Sound Files Using Wavelet Transform Based Filter

IAES International Conference on Electrical Engineering, Computer Science and Informatics

电工学;计算机科学

Syahputra, M.F.^1 ; Situmeang, S.I.G.^2 ; Rahmat, R.F.^1 ; Budiarto, R.^3

Department of Information Technology, Faculty of Computer Science and Information Technology, University of Sumatera Utara, Medan, Indonesia^1

College of Engineering, National Chung Cheng University, Taiwan^2

Department of Information System, College of Computer Science and Information Technology, Albaha University, Saudi Arabia^3

关键词: A-wavelet transform;    Daubechies Wavelet;    Development of science and technologies;    Information signals;    Interference reduction;    Interference signal;    Noise filters;    Wavelet transform coefficients;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/190/1/012040/pdf
DOI  :  10.1088/1757-899X/190/1/012040

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.