Audio based sensing of wheeze in respiratory signals
The purpose of this report is to study the effect on the use of different parameter features performance selected for the detection of wheeze signals. The features selected for this case study are Kurtosis, Renyi Entropy, Mean Crossing Irregularity and f50/f90 ratio. They are selected for their dist...
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Main Author: | Seah, Meng Shi. |
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Other Authors: | Ser Wee |
Format: | Final Year Project |
Language: | English |
Published: |
2011
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Subjects: | |
Online Access: | http://hdl.handle.net/10356/45868 |
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Institution: | Nanyang Technological University |
Language: | English |
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