Comparison and Analysis of Lung Sound Signal Denoising Technology
Lung sound auscultation is a simple and non-invasive method for doctors to diagnose various respiratory diseases,which can provide timely and useful information for the detection and differentiation of respiratory pathology.However,noise pollu-tion in lung sounds is an inevitable problem when collecting lung sounds.When doctors diagnose patients,the presence of noise will produce serious obstacles to the analysis of lung sound,so the effective removal of excess noise is more conducive to accurate and objective evaluation of lung sound information.In this paper,different denoising techniques are discussed,including wavelet de-noising,least-mean square adaptive filtering and spectral subtraction.The three denoising performance indexes are evaluated,and the relative comparative conclusions are obtained.
lung soundwavelet analysisleast mean square adaptive filteringspectral subtraction
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