A kind of integrated serial algorithms for noise reduction and characteristics expanding in respiratory sound

Fei Meng¹, Yixuan Wang¹, Yan Shi^1,2✉, Hongmei Zhao³

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
2. The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310058, China
3. Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital

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Citation:
Meng F, Wang Y, Shi Y, Zhao H. A kind of integrated serial algorithms for noise reduction and characteristics expanding in respiratory sound. Int J Biol Sci 2019; 15(9):1921-1932. doi:10.7150/ijbs.33274. Available from https://www.ijbs.com/v15p1921.htm

Abstract

The computer‑based lung respiratory sound analysis, which can provide more information about the condition of lung station, has achieved a great development in recent years. However, the external noise in respiratory sound signal is a large restriction to the further promotion of this technique. In this paper, a kind of serial integrated de-noising algorithms which consist of a FIR band-pass filter and a modified wavelet filter and an adaptive filter, is proposed to suppress the noise in respiratory sound signals. The design of this kind of filter and its practical application are studied. The practical application in de-noise of the lung sound shows that this filter has a good de-noising effect and a good performance in outstanding the acoustic characteristics.

Keywords: respiratory sounds, de-noising algorithm, band-pass filter, wavelet, adaptive filter