Feature Extraction Techniques for Low-Power Ambulatory Wheeze Detection Wearables

• المؤلفون الرئيسيون: Ser, Wee, Acharya, Jyotibdha, Basu, Arindam
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2017
• الموضوعات: Time-frequency analysis; Signal pattern classification
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/85105; http://hdl.handle.net/10220/43612; https://embs.papercept.net/conferences/conferences/EMBC17/program/EMBC17_ContentListWeb_5.html

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...