Feature Extraction Techniques for Low-Power Ambulatory Wheeze Detection Wearables

• Main Authors: Ser, Wee, Acharya, Jyotibdha, Basu, Arindam
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2017
• Subjects: Time-frequency analysis; Signal pattern classification
• Online Access: https://hdl.handle.net/10356/85105; http://hdl.handle.net/10220/43612; https://embs.papercept.net/conferences/conferences/EMBC17/program/EMBC17_ContentListWeb_5.html
• Institution: Nanyang Technological University

Presence of wheezes in breathing sounds has been associated with several respiratory and pulmonary diseases. In this paper we present a novel low-complexity wheeze detection method based on frequency contour tracking for automatic wheeze detection. Two hardware friendly variants of the algorithm hav...