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International Conference on Mechanical Engineering and Technology (ICMET-London 2011)

Garry Lee
Garry Lee
Information Engineering Research Institute
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ASME Press
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This paper summarize the main content of lung sound analysis, including lung sound feature extraction and classifier design. Lung sound feature extraction is a prerequisite for lung sound analysis, which has a direct impact on the performance of the classifier. This paper research and compare the main methods of lung sound feature extraction. To achieve the best recognition results, classifier design should combine with lung sound feature. It compares the main model of classifier on the performance. The paper also present the problems of lung sound analysis, including the different methods of the lung sound data acquired and the shortage of lung sound database, and then describe the direction of future research of lung sound.

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