Audio based sensing of wheeze in respiratory signals

• Main Author: Seah, Meng Shi.
• Other Authors: Ser Wee
• Format: Final Year Project
• Language: English
• Published: 2011
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
• Online Access: http://hdl.handle.net/10356/45868
• Institution: Nanyang Technological University

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...