Feature Extraction Techniques for Low-Power Ambulatory Wheeze Detection Wearables

Feature Extraction Techniques for Low-Power Ambulatory Wheeze Detection Wearables

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...

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Bibliographic Details
Main Authors: Ser, Wee, Acharya, Jyotibdha, Basu, Arindam
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
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

Internet

https://hdl.handle.net/10356/85105
http://hdl.handle.net/10220/43612
https://embs.papercept.net/conferences/conferences/EMBC17/program/EMBC17_ContentListWeb_5.html

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