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[Research progress of adventitious respiratory sound signal processing]
1School of Biology Science and Engineering, South China University of Technology, Guangzhou 510640, China. betty@scut.edu.cn
This paper reviews advancements in processing adventitious respiratory sound signals using non-stationary random signal processing techniques. It details algorithm progress in detection and outlines future directions for computerized respiratory sound analysis systems.
Area of Science:
- Computerized respiratory sound analysis
- Signal processing
- Non-stationary random signal processing
Context:
- Adventitious respiratory sound signal processing is a key area in computerized respiratory sound analysis.
- Recent progress has been driven by non-stationary random signal processing techniques.
- This field is crucial for developing advanced diagnostic tools.
Purpose:
- To discuss algorithm progress in adventitious respiratory sound detection.
- To review the current state of adventitious respiratory sound analysis.
- To identify future research and development directions.
Summary:
- This paper details algorithmic advancements in adventitious respiratory sound detection.
- It reviews the latest techniques in analyzing respiratory sounds, particularly those related to non-stationary signals.
- The study highlights progress and future trends in the field.
Impact:
- Provides a comprehensive overview of adventitious respiratory sound analysis.
- Guides future research in developing more accurate respiratory diagnostic systems.
- Facilitates the advancement of computerized respiratory sound analysis technology.
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