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Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Ester Pantaleo, Sabina Tangaro and Roberto Bellotti
The automated classification of respiratory sound has gained increasing attention in recent years and has been the subject of a growing number of international scientific challenges for the development of accurate classification algorithms to support cli...
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Hwan Ing Hee, BT Balamurali, Arivazhagan Karunakaran, Dorien Herremans, Onn Hoe Teoh, Khai Pin Lee, Sung Shin Teng, Simon Lui and Jer Ming Chen
(1) Background: Cough is a major presentation in childhood asthma. Here, we aim to develop a machine-learning based cough sound classifier for asthmatic and healthy children. (2) Methods: Children less than 16 years old were randomly recruited in a Child...
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Bor-Shing Lin and Tian-Shiue Yen
Wheezing is often treated as a crucial indicator in the diagnosis of obstructive pulmonary diseases. A rapid wheezing detection system may help physicians to monitor patients over the long-term. In this study, a portable wheezing detection system based o...
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