Sound based snore signal analysis using ELM

• Main Author: Toh, Violet Mei Sze.
• Other Authors: Ser Wee
• Format: Final Year Project
• Language: English
• Published: 2012
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
• Online Access: http://hdl.handle.net/10356/50267
• Institution: Nanyang Technological University

Snoring is a common symptom faced by many people. Its features can be analysed to provide insight or help in the diagnosis of sleep related disorders. This project aims to use feature extraction and a learning machine algorithm to predict the presence of snores in a given sound sample.