Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149092
Title: Respiratory sound classification : signal quality analysis
Authors: Tang, See Kah
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Tang, S. K. (2021). Respiratory sound classification : signal quality analysis. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149092
Project: A3206-201
Abstract: As a major disease leading to death in recent years, Pulmonary Edema disease is difficult to treat in many parts of the world. Its diagnosis and treatment difficulties are mainly reflected in the low efficiency of the diagnosis and treatment method, the diagnosis and treatment accuracy, and the discomfort brought to patients during the treatment. Given the technical limitations of the way the world currently treats such conditions, it is extremely important and urgent for the quality of signals to be controlled accurately. This study uses MATLAB programming, basic knowledge of signal processing, and machine learning. All audio sample files were recorded from volunteers, which assure the study conducted with real data and results are effective.
URI: https://hdl.handle.net/10356/149092
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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