A sound based algorithm for detecting obstructive sleep apnoea

• Main Author: Ang, Shu Hui
• Other Authors: Ser Wee
• Format: Final Year Project
• Language: English
• Published: 2016
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
• Online Access: http://hdl.handle.net/10356/67046
• Institution: Nanyang Technological University

Obstructive Sleep Apnoea (OSA) is a chronic respiratory disorder which disrupts the patient’s sleep when his upper airway involuntarily collapses during the night, causing the person to stop breathing for typically 10 seconds. Traditional methods to detect OSA involves a full night polysomnography (...